AI Factory
Welcome to the future of intelligent automation with AI Factory – your comprehensive end-to-end platform for building, deploying, and scaling AI solutions across your enterprise. Our integrated ecosystem transforms how organizations harness artificial intelligence, from raw data to production-ready applications that drive measurable business results. AI Factory eliminates the complexity of AI implementation by providing a unified platform where data preparation, infrastructure management, software orchestration, expert services, and proven use cases work seamlessly together. Whether you’re a startup exploring AI possibilities or an enterprise scaling intelligent operations, our factory approach accelerates your journey from concept to deployment in weeks, not months. Experience the power of democratized AI with our low-code tools that enable both technical teams and business users to create sophisticated AI workflows. Join thousands of organizations worldwide who trust AI Factory to power their digital transformation and competitive advantage in the AI-driven economy.
AI Data
Transform raw information into AI-ready fuel with our comprehensive data preparation solutions. Our AI Data module ensures your datasets are clean, structured, and optimized for machine learning applications. From data collection and preprocessing to feature engineering and quality validation, we handle the entire data pipeline. We implement robust data governance frameworks that maintain privacy, security, and compliance standards.
Our automated data pipelines reduce preparation time by up to 80% while ensuring consistency and accuracy. Whether you’re working with structured databases, unstructured text, or real-time streams, our platform adapts to your data landscape. Experience seamless integration with popular data sources and formats, enabling faster time-to-insight for your AI initiatives.
AI Services
Bridge the gap between technology and business success with our expert AI services team. Our AI Services module combines deep technical expertise with industry knowledge to deliver customized AI solutions that drive real business outcomes. Our certified AI engineers and data scientists work closely with your team to understand unique requirements and design tailored implementations. From initial consultation and proof-of-concept development to full-scale deployment and ongoing support, we guide you through every step of your AI journey.
We leverage our comprehensive data infrastructure and software stack to build robust, scalable solutions that integrate seamlessly with your existing systems. Our agile delivery methodology ensures rapid prototyping and iterative refinement based on your feedback. Post-deployment, our team provides continuous monitoring, optimization, and enhancement services to maximize your AI investment ROI.
AI SOftware
Orchestrate intelligent workflows with our comprehensive software stack and agentic AI orchestrator platform. Our AI Software module provides the essential tools and frameworks needed to build, deploy, and manage AI applications at scale. Features include our proprietary Agentic AI Orchestrator that coordinates multiple AI agents for complex task automation. The platform supports popular machine learning frameworks, containerized deployments, and microservices architecture for maximum flexibility.
Built-in MLOps capabilities streamline model versioning, testing, and deployment pipelines for continuous integration. Our low-code interface empowers both technical and business users to create sophisticated AI workflows without extensive programming knowledge. Advanced orchestration capabilities enable seamless coordination between different AI models and business processes.
AI Infrastructure
Power your AI ambitions with enterprise-grade hardware infrastructure designed for scale and performance. Our AI Infrastructure module provides the computational backbone needed for demanding machine learning workloads. From high-performance GPUs and specialized AI chips to distributed computing clusters, we deliver the hardware foundation your AI applications require.
Our infrastructure solutions include automated resource provisioning, load balancing, and fault-tolerant architectures that ensure 99.9% uptime. Scale dynamically from prototype to production with our flexible hardware configurations that adapt to your growing needs. Built-in monitoring and optimization tools maximize resource utilization while minimizing operational costs. Deploy on-premises, in the cloud, or in hybrid environments with our versatile infrastructure solutions.
AI Use Cases
Unlock AI’s potential across industries with our proven use case implementations and success stories. Our AI Use Cases module showcases real-world applications including AI Sales for intelligent lead scoring and automated customer engagement. Transform your marketing with AI Digital Marketer solutions that personalize campaigns and optimize customer journeys in real-time. Empower data-driven decisions with AI BI platforms that provide predictive analytics and automated insights generation.
Strengthen cybersecurity with AI SOC capabilities that detect threats, automate incident response, and enhance security operations. From healthcare diagnostics and financial risk assessment to manufacturing optimization and retail personalization, we demonstrate how AI transforms business operations. Each use case comes with detailed implementation guides, best practices, and measurable success metrics to accelerate your adoption journey.
Complete AI Infrastructure Portfolio: From GPU Foundation to Enterprise Solutions
Build your AI infrastructure on proven GPU foundations with our comprehensive portfolio featuring NVIDIA PCIe and SXM modules alongside Qualcomm processing units as the core computational building blocks for all AI workloads. Our integrated ecosystem scales from these foundational GPU components through enterprise-grade AI computing solutions from Dell, HPE, and Supermicro, paired with high-performance storage systems including Huawei Doradoo and DDN for massive data management capabilities. Complete your AI infrastructure with our advanced networking layer featuring NVIDIA Quantum-2 switches and H3C ROCE-enabled ethernet solutions, topped by ready-to-deploy AI-as-a-Box systems including AI All-in-One platforms and specialized video analytics appliances that leverage the full power of our GPU-centric architecture.
Scalable AI Infrastructure: From Edge to Enterprise
Deploy AI anywhere with our comprehensive hardware ecosystem designed for every stage of your AI journey. Our infrastructure portfolio seamlessly scales from lightweight edge computing to enterprise-grade datacenter operations, ensuring optimal performance at every deployment point. Starting at the edge with our compact SOM GPU modules and PCIe cards for real-time inference, we provide the computational power needed for instant decision-making in resource-constrained environments. Scale to on-premises deployments with our powerful workstations and MGX servers that combine inference capabilities with fine-tuning flexibility for custom model optimization. At the datacenter level, experience unmatched performance with our HGX hyperscale accelerators and DGX deep learning systems that handle the most demanding training, fine-tuning, and inference workloads simultaneously. Our modular AI POD solutions enable rapid datacenter deployment and expansion, providing enterprise-grade infrastructure that grows with your AI ambitions and delivers consistent performance across your entire AI pipeline.
Professional GPU Cards: Unleash Maximum Performance for AI Workloads
Power your most demanding AI applications with our comprehensive GPU card portfolio featuring cutting-edge NVIDIA and Qualcomm GPU Cards designed for technical and creative professionals who require uncompromising performance. Our lineup spans from the flagship NVIDIA B200 and H200 141G for next-generation AI training, to the proven H100 80G/94G and A100 80G series for enterprise-scale machine learning workloads, complemented by specialized cards like the L40S/L40 for mixed AI and graphics tasks. Complete your setup with professional-grade options including the NVIDIA A6000 Pro for AI development, RTX 5090 for AI-accelerated creative workflows, and the innovative Qualcomm A100 Ultra for energy-efficient AI processing. Each GPU card delivers exceptional computational power optimized for the world’s heaviest AI, machine learning, and high-performance computing workloads, ensuring your projects run at maximum efficiency whether you’re training complex neural networks, processing massive datasets, or developing next-generation AI applications.
Graphic Cards , for technical and creative professionals who demand high performance for the world’s heaviest workloads.
NVIDIA B200
NVIDIA H200 141G
NVIDIA H100 80G
NVIDIA H100 94G
NVIDIA A100 80G
QualComm A100 Ultra
NVIDIA L40S
NVIDIA L40
NVIDIA A6000 Pro
NVIDIA RTX 5090
Al Accelerator Comparison Table
| Specification | Qualcomm AI100 Ultra | NVIDIA H100 80GB | NVIDIA H100 NVL | NVIDIA H200 NVL | NVIDIA A100 80GB | NVIDIA L40S | NVIDIA L40 |
|---|---|---|---|---|---|---|---|
| Architecture | Qualcomm Cloud AI 100 | Hopper GH100 | Hopper GH100 (Dual GPU) | Hopper GH100 (Dual GPU) | Ampere GA100 | Ada Lovelace AD102 | Ada Lovelace AD102 |
| Form Factor | PCIe Gen4 x16 | SXM5 / PCIe Gen5 | NVL (Two GPUs with NVLink bridge) | NVL (Two GPUs with NVLink bridge) | SXM4 / PCIe Gen4 | PCIe Gen4 x16 (Dual-slot) | PCIe Gen4 x16 (Dual-slot) |
| Memory Type & Capacity | 32GB LPDDR5 | 80GB HBM3 (SXM) / 80GB HBM2e (PCIe) | 2×94GB HBM3 (188GB Total) | 2×141GB HBM3e (282GB Total) | 80GB HBM2e | 48GB GDDR6 ECC | 48GB GDDR6 ECC |
| Memory Bandwidth | ~1TB/s | 3.35TB/s (SXM) / 2.0TB/s (PCIe) | 3.35TB/s per GPU (6.7TB/s aggregate) | 4.8TB/s per GPU (9.6TB/s aggregate) | 2.04TB/s (SXM) / 1.56TB/s (PCIe) | 864GB/s | 864GB/s |
| Interconnect | PCIe Gen4 x16 | NVLink 4.0 / PCIe Gen5 | NVLink 4.0 (GPU-to-GPU + host) | NVLink 4.0 (GPU-to-GPU + host) | NVLink 3.0 / PCIe Gen4 | PCIe Gen4 x16 | PCIe Gen4 x16 |
| Power Consumption (TDP) | ~150W | 700W (SXM) / 350W (PCIe) | ~350W per GPU (~700W total) | 700W per GPU (~1400W total) | 400W (SXM) / 300W (PCIe) | 350W | 300W |
| CUDA Cores | N/A | 16,896 | 2×16,896 (33,792 total) | 2×16,896 (33,792 total) | 6912 | 18,176 | 18,176 |
| Tensor Cores | N/A | 456 (4th Gen) | 2×456 (912 total) | 2×456 (912 total) | 432 (3rd Gen) | 142 (4th Gen) | 142 (4th Gen) |
| FP64 Performance | N/A | ~34 TFLOPS | ~68 TFLOPS | ~68 TFLOPS | ~9.7 TFLOPS (SXM) | ~0.6 TFLOPS | ~0.5 TFLOPS |
| FP32 Performance | N/A | ~67 TFLOPS | ~134 TFLOPS | ~134 TFLOPS | ~19.5 TFLOPS (SXM) | ~91 TFLOPS | ~91 TFLOPS |
Deploy AI anywhere with Aetina’s comprehensive MegaEdge platform series, featuring the compact MXM Series, ultra-small MetaEdge M.2 Series, high-performance PCI-e Series, and powerful MGX Training Server for intensive edge training. These expandable AI inference and training platforms seamlessly integrate with sensors, cameras, monitors, and robotic systems through rich I/O interfaces, enabling real-time decision-making at the network’s edge. Transform your operations with enterprise-grade edge computing that brings datacenter-class AI performance directly to where data is generated, reducing latency and enhancing intelligent automation across industries.
MegaEdge MXM Series
MetaEdge M.2 Series
MegaEdge Pci-e Series
MGX Training Server
Data Privacy
AI Accelerator
No Noise Low Power
Open-Source AI Models
AETINA
Edge AI Solution Provider
Complete Product Portfolio Comparison
Aetina Edge AI Computing Solutions
Aetinaoffers acomprehensive portfolioofEdgeAIcomputing solutions spanning from compact DeviceEdge platforms to high-performance MegaEdge workstations and enterprise-grade SuperEdge servers. This unified comparison highlights key specifications and target applications across all product categories.
| Product Series | Models | CPU Architecture | AI Performance | Memory | GPU/Accelerator | Form Factor | Key Features | Target Applications |
|---|---|---|---|---|---|---|---|---|
| DeviceEdge Series – Compact ARM-based Edge AI Platforms | ||||||||
| Orin Nano Series | AIE-PO23-6USB AIE-PO33-6USB |
6-core ARM Cortex-A78AE 1.5GHz | 20-40 TOPS | 4-8GB LPDDR5 | 512-1024 CUDA 16-32 Tensor Cores | 270×195×80mm Fanless design |
6 USB camera support Super Mode Industrial I/O |
Smart retail Computer vision IoT gateways |
| Orin Nano Series | AIE-PN33-6USB AIE-PN43-6USB |
8-core ARM Cortex-A78AE 2.0GHz | 70-100 TOPS | 8-16GB LPDDR5 | 1024 CUDA 32 Tensor Cores | 270×195×80mm Fanless design |
6 USB camera support Super Mode Industrial I/O |
Smart surveillance Robotics Smart |
| MegaEdge Series – High-Performance x86-based AI Workstations | ||||||||
| PCIe Series | AIP-KQ67-A1 AIP-FR68-A1 |
Intel 12th/13th Gen Core i9/i7/i5 | GPU dependent (up to 300W) | Up to 192GB DDR4/DDR5 | NVIDIA RTX series Qualcomm AI 100 Ultra (up to 870 TOPS) |
Desktop/rackmount 340-413mm depth | NVIDIA NCS certified OOB management TPM 2.0 |
Industrial AI Computer vision AI training |
| MXM Series | AIP-SQ67-A1 | Intel 12th Gen Core i7/i5 (up to 65W) | GPU dependent | Up to 64GB DDR5 SO-DIMM | MXM modules PCIe Gen4 x16 | 270×148×280mm Compact design |
MXM expansion OOB management Wall/desk mount |
Embedded AI Space-constrained deployments |
| SuperEdge Series – Enterprise-Grade AI Training/Inference Servers | ||||||||
| Server Series | AEX-2UA1 (MGX Server) | Intel Xeon 6 Processors (up to 250W) | Data center-class performance | DDRS RDIMM/LRDIMM 8 Channels, ECC | Dual NVIDIA GPUs with NVLink PCIe Gen5 | 2U server 438×88×420mm Rack-mountable | 24/7 reliability Redundant PSU/fans Hot-swappable |
AI model training Enterprise deployment |
| AI On-Prem | FR68-based AI Appliance | Intel Core i7 13700E | 870 TOPS per card | 128GB VRAM per AI card | Qualcomm Cloud AI100 Ultra (Single/Dual) | Desktop form factor Enterprise-class |
70B parameter LLMs Edge inference OOB management |
Generative AI LLM inference Computer vision |
Key Product Line Differentiators
DeviceEdge
- Compact, ARM-based edge inference
- 20-100 TOPS AI performance
- Fanless, industrial-grade design
- Power-efficient (6-47W)
- NVIDIA Jetson ecosystem
MegaEdge
- x86 architecture for versatility
- Support for PCIe GPU cards
- Flexible MXM expansion options
- NVIDIA NCS certification
- Comprehensive I/O connectivity
SuperEdge
- Enterprise-grade performance
- Data center reliability features
- Support for large AI models (70B+)
- Redundant components
- Hardware management (BMC)
AETINA
Edge AI Solution Provider
Aetina Product Portfolio Comparison
Entry-level
Aetina DeviceEdge
AIE-PO23/33-6USB | AIE-PN33/43
Mid-range
Aetina MegaEdge
AIP-KQ67 | AIP-FR68 | AIP-SQ67
High-end
Aetina SuperEdge
AEX-2UA1 | MGXServer
| Type | DeviceEdge | MegaEdge PCIe | MegaEdge MXM | SuperEdge |
|---|---|---|---|---|
| Form Factor | Compact Edge Device | Desktop/Rackmount | Compact Desktop | Server (2U) |
| CPU Architecture | ARM (6–8 core Cortex-A78AE) | Intel 12th/13th Gen i9/i7/i5 | Intel 12th Gen i7/i5 | Intel Xeon (up to 250W TDP) |
| AI Performance | 20–100 TOPS | Up to 300W GPU support | Variable (MXM module dependent) | Data center-class / 870 TOPS |
| Memory | 4–16GB LPDDR5 | Up to 192GB DDR5 | Up to 64GB DDR5 SO-DIMM | ECC RDIMM, ECC LRDIMM |
| GPU Support | NVIDIA Tensor Cores (built-in) | NVIDIA RTX Series, Qualcomm AI | MXM Type A/B/+ PCIe Gen4 | Dual NVIDIA MGX w/NVLink |
| Storage | 128GB NVMe (built-in) | 4×2.5" SATA + 2×M.2 | 2×2.5" SATA + 2×M.2 | Hot-swap NVMe, multiple M.2 |
| Networking | 2×GbE | 3×2.5GbE + 1×10GbE | 5×2.5G RJ45 LAN | High-speed networking, BMC |
| Power Consumption | 6.4–47W | Up to 600W | 361W (w/o MXM) | Redundant 1600/2000W PSU |
| Key Applications | Smart cameras, IoT, Robotics | Industrial AI, Computer Vision | Embedded AI, Space-constrained | Enterprise AI, LLM Inference |
AETINA
Edge AI Solution Provider
MegaEdge Series Comparison
MegaEdge Series Overview
AetinaMegaEdge offersexpandableAIinference/training platforms for x86-based edge computing, featuring Intel Core processors with high-performance GPU options. These systems deliver enhanced AI performance through PCIe expansion (NVIDIA RTX, Qualcomm AI) or MXM modules, designed for industrial AI workstations, computer vision applications, and AI model training at the edge.
300W
GPU Support
| Product Model | Series | CPU | Chipset | GPU Support | Memory | Storage | Network | Power | Dimensions |
|---|---|---|---|---|---|---|---|---|---|
| AIP-KQ67-A1 | PCIe Series | Intel 12th/13th Gen Core i9/i7/i5 | Intel Q670E | Up to 300W NVIDIA RTX series (A6000/A5000/A4000/A2000) | Up to 128GB DDR5 (4×DIMM) | 2×2.5" SATA SSD 1×M.2 NVMe |
1×1GbE 3×2.5GbE |
500W/850W PSU | 413×315×159 mm |
| AIP-FR68-A1 | PCIe Series | Intel 12th/13th Gen Core i9/i7/i5 (up to 65W) | Intel R680E | NVIDIA RTX 6000 Ada/A6000 Qualcomm AI 100 Ultra (dual) |
4×DDR5 U-DIMM (up to 192GB) | 4×2.5" SATA 2×M.2 NVMe |
3×2.5GbE 1×10GbE |
Up to 600W | 340×215×279 mm |
| AIP-SQ67-A1 | MXM Series | Intel 12th Gen Core i7/i5 (up to 65W) | Intel Q670E | MXM Type A/B/B+ PCIe Gen4 x16 | 2×DDR5 SO-DIMM (up to 64GB) | 2×2.5" SATA 2×M.2 NVMe Gen4 |
5×2.5G RJ45 LAN | 361W (w/o MXM) | 270×148×280 mm |
Key Features & Certifications
- NVIDIA NCS Certified: PCIe series validated for demanding AI workloads
- Qualcomm AI Integration: Support for Cloud AI100 Ultra with 870 TOPS OOB
- Management: Remote device monitoring and management MXM
- Modularity: Flexible GPU upgrades with MXM 3.1 standard Screwless
- Design: Tool-free maintenance and servicing
- TPM 2.0: Hardware-based security features
Target Applications
- AI Training Workstations
- Computer Vision
- Edge AI Inference
- Industrial AI Inspection
- Machine Learning
- Multi-tenant AI Deployment
AETINA
Edge AI Solution Provider
SuperEdge Series Comparison
SuperEdge Enterprise AI Server Overview
Aetina’s SuperEdgeseries delivers data center-classAI processing at the edge with enterprise-grade servers powered by Intel Xeon processorsand high-performance NVIDIA GPU acceleration. These systems provide robust reliability features, NVIDIA MGX architecture compatibility, and are designed for demanding AI training and large-scale inference workloads in enterprise environments.
870
AI Performance (TOPS)
| Product Line | CPU | GPU Support | Memory | Storage | Network | Power | Form Factor | AI Performance | Key Features |
|---|---|---|---|---|---|---|---|---|---|
| AEX-2UA1 MGX Server | Intel Xeon 6 (up to 250W TDP) | 2× Double-width NVIDIA GPUs with NVLink | 8-Channel DDR5 6400 MT/s RDIMM | 2× M.2 PCIe Gen5 4x E1.S NVMe Hot-swappable | BMC Management PCIe Gen5 slot for CX7/BF3 | 1600W/2000W Redundant (1+1) Hot-swappable | 2U Rackmount 438 × 420 × 88mm (Compact 420mm depth) | Variable based on installed GPUs | NVIDIA MGX architecture Hot-swap components 24/7 reliability |
| AI On-Prem Solution | Intel Core i7-13700E | Qualcomm Cloud AI100 Ultra | 192GB DDR5 UDIMM (128GB GPU VRAM) | 2TB NVMe SSD | Multiple LAN ports | Desktop form factor (150W per card) | Enterprise-class AI in desktop form factor | 870 TOPS (INT8) 290 TFLOPS (FP8) |
LLM support (70B) EdgeEye/OOB management ONNX framework support |
| NGC-Ready SuperEdge | Intel Xeon server processors | NVIDIA T4 to A100 GPUs | ECC RDIMM ECC LRDIMM support | High-speed NVMe storage | Mellanox networking support | Server-grade redundant power | Multi-Access Edge Computing platform | Data center-class performance | NGC-Ready certification Enterprise AI acceleration Multi-tenant support |
Enterprise Features
- Server-grade reliability for 24/7 operation with minimal downtime
- Redundant, hot-swappable power supplies and cooling systems
- Hardware BMC management for remote administration NVLink
- for high-speed GPU-to-GPU communication Support for large
- memory models (up to 70B parameters) Optimized power
- efficiency (peak performance/watt)
Target Applications
- Enterprise AI Training
- Multi-tenant AI
- Inference Manufacturing AI
- Large Language Models
- Computer Vision at Scale
- Edge Data Centers
AI On-Premise Devices: Bring Intelligence to Your Local Infrastructure
Deploy AI directly within your infrastructure with our comprehensive on-premise solutions that eliminate cloud dependency while providing complete data control, reduced latency, and enhanced security for sensitive AI workloads. Our flagship AI Workstations support up to 4 high-performance GPUs for intensive machine learning training and development, while Aetina MegaEdge and SuperEdge series deliver optimized 1-2 GPU performance in compact form factors perfect for real-time inference and edge deployments. Experience the strategic advantage of local AI processing with millisecond response times, regulatory compliance, and scalable capabilities without ongoing cloud costs. Transform manufacturing floors, retail environments, healthcare facilities, and smart city deployments with intelligent automation systems that process data at the point of generation.
AI Workstations, for technical and creative professionals. who demand high performance for the world’s heaviest workloads
Soika Al Workstaon RTX 6000* 4
Soika Al Workstaon RTX 5880* 4
Soika Al Workstaon NVIDIA H100 80G*4
Soika Al Workstaon NVIDIA H200 * 4
Includes :
Nvidia GPU Soika
Mockingjay Soika
Stack
Soika Stack
Soika Mockingjay
| RTX 5880 Ada * 4 OPTIMIZED X13 4U 4GPU,X13DEG-QT-P,749TS-R2KO5B,RoHS SYS-741GE-TNRT(x1) |
| X13 4U 4GPU,X13DEG-QT-P,749TS-R2KO5B,RoHS EWCSC(x1) |
| 0% 3 YRS LABOR, 3 YRS PARTS, 1 YR CRS UNDER LIMITED WRNTY |
| P4X-EMR6538N-SRN6V-MCC(x2) 6538N 2P 32C2.1G205W(2/205,1.9/185) 60M |
| S128 1DS.2QA.2DL 7yr |
| MEM-DR564MC-ER56(x8) 64GB DDR5-5600 2Rx4 ECC RDIMM |
| HD5-25N4-001T9-E1-TXD-NON-007(x4) SSD 2.5" NVMe PCle4 1.9TB 1DWPD TLC D, 7mm |
| GPU-NVQRTX5880-ADA(x4) NVIDIA RTX5880 ADA Gen 32GB GDDR6 PCle 4.0-Active Cooling |
| AOM-TPM-967OV-P(x1) SPI TPM 2.0 using SLB9670,RoHS |
| AOC-VROCPREMOD(x1) Intel VROC Premium, RAIDO,1,5,10,HF,RoHS |
| SFT-DCMS-SINGLE(x1) 5MC System Management Software Suite Node License |
| Soika Enterprise 1 year subscription VLLM support |
| Interconnection: local super cluster support by Soika Enterprise |
Soika Stack
Soika Mockingjay
| Hopper 200 4 GPU H200 |
| OPTIMIZED X13 4U |
| 4GPU,X13DEG-QT-P.749TS-R2K05B,RoHS SYS-741GE-TNRT(x1) |
| X13 4U 4GPU,X13DEG-QT-P.749TS-R2KO5B,RoHS EWCSC(x1) |
| 0% 3 YRS LABOR. 3 YRS PARTS, 1 YR CRS UNDER LIMITED WRNTY |
| P4X-EMR6538N-SRN6V-MCC(x2) 6538N 2P 32C2.1G205W(2/205.1.9/185) 60M |
| S128 1DS.2QA.2DL 7yr |
| MEM-DR564MC-ER56(x8) 64GB DDR5-5600 2Rx4 ECC RDIMM |
| HDS-25N4-001T9-E1-TXD-NON-007(x4) SSD 2.5* NVMe PCle4 1.9TB 1DWPD TLC D. 7mm |
| extension GPU-H200 PCle Gen5: 128GB/s |
| AOM-TPM-967OV-P(x1) SPI TPM 2.0 using SLB9670,RoHS |
| AOC-VROCPREMOD(x1) Intel VROC Premium, RAIDO,1,5,10,HF,RoHS |
| SFT-DCMS-SINGLE(x1) SMC System |
| Soika Enterprise 1 year subscription vLLM support |
| Interconnection: local super cluster support by Soika Enterprise |
Enterprise AI Server Solutions: From Flexible PCIe to Ultimate HGX Performance
Scale your AI infrastructure with our comprehensive server portfolio designed for every stage of your artificial intelligence journey. Our PCIe GPU Servers leverage NVIDIA’s revolutionary MGX modular reference design, delivering the fastest and most flexible path to accelerated computing through partnerships with industry leaders including Supermicro, H3C, HPE, and Xfusion. These modular solutions adapt to any computing need from remote visualization to edge supercomputing, enabling OEM and ODM partners to build tailored solutions while dramatically reducing development time and accelerating market entry with flexible, open-source models.
For the world’s most demanding AI workloads, our HGX Server Series represents the pinnacle of AI reasoning and training inference performance, featuring cutting-edge HGX H100, H200, B200, and B300 systems engineered for technical and creative professionals tackling complex simulations and massive datasets. These powerhouse platforms integrate the full spectrum of NVIDIA technologies including high-performance GPUs, ultra-fast NVLink interconnects, and fully optimized HPC software stacks to deliver unmatched application performance and drive the fastest time-to-insights across enterprise datacenters.
Both solution categories seamlessly integrate with our Soika software ecosystem including Mockingjay orchestration and Stack management tools, ensuring comprehensive AI deployment and management capabilities from flexible edge computing to datacenter-scale artificial intelligence operations
The Fastest, Most Flexible Path to Accelerated Computing
Adapt to any computing need with NVIDIA MGX™, a modular reference design that can be used for a wide variety of use cases, from remote visualization to supercomputing at the edge. MGX provides a new standard for modular server design by improving ROI and reducing time to market. With MGX, OEM and ODM partners can build tailored solutions for different use cases while saving development resources and reducing time to market.
Brands:
Xfusion MGX Server G5500 V7
H3C Server R5300 G6 PCle
Supermicro AS 4125GS
HPE DL380A Gen12
Includes :
Nvidia GPU Soika
Mockingjay Soika
Stack
Flexible
Open-Source Models
Time to Market
Full Nvidia Stack
AI Reasoning and AI Training Inference
For technical and creative professionals
Who demand high performance for the world’s heaviest workloads
AI, complex simulations, and massive datasets require multiple GPUs with extremely fast interconnections and a fully accelerated software stack. The NVIDIA HGX™ platform brings together the full power of NVIDIA GPUs, NVIDIA NVLink™, NVIDIA networking, and fully optimized AI and high-performance computing (HPC) software stacks to provide the highest application performance and drive the fastest time to insights for every data center.
Brands:
HGX H100
HGX H200
HGX B200
HGX B300
Includes :
Nvidia GPU Soika
Mockingjay Soika
Stack
Perforemance
Most Demanding
Time to Market
Full Software Stack
For technical and creative professionals
Who demand high performance for the world’s heaviest workloads
Nvidia
NVIDIA DGX H100
NVIDIA DGX H100 Enterprise License with no code LLM and agent management experience
Nvidia
NVIDIA DGX H200
NVIDIA DGX H200 Enterprise License with no code LLM and agent management experience
Nvidia
NVIDIA DGX B200
NVIDIA DGX B200 Enterprise License with no code LLM and agent management experience
Nvidia
NVIDIA DGX GB200 NVL72
NVIDIA DGX GB200NVL72 Enterpris License with no code LLM and agent management experience
AI Cloud Infrastructure: Scale Beyond Limits with Enterprise-Grade Solutions
Transform your cloud operations with our cutting-edge AI infrastructure featuring NVIDIA’s revolutionary GB300 NVL72 systems and comprehensive AI converged infrastructure racks designed to meet the most demanding enterprise requirements. Our cloud-native AI infrastructure delivers unprecedented computational density and performance optimization, enabling organizations to deploy large-scale AI training, inference, and multi-tenant workloads with maximum efficiency and cost-effectiveness across distributed cloud environments.
The NVIDIA GB300 NVL72 platform represents the apex of cloud AI computing, providing exceptional multi-GPU performance in optimized rack configurations that scale seamlessly from single deployments to massive cloud installations supporting thousands of concurrent AI workloads. Our AI Converged Infrastructure Racks integrate compute, storage, networking, and management layers into unified solutions that eliminate complexity while providing enterprise-grade reliability, automated provisioning, and dynamic resource allocation capabilities essential for modern cloud service providers.
Whether you’re building public cloud AI services, private enterprise clouds, or hybrid multi-cloud architectures, our infrastructure solutions deliver the performance, scalability, and operational efficiency needed to support next-generation AI applications including large language models, computer vision systems, and real-time analytics platforms that require massive parallel processing power and ultra-low latency connectivity across distributed cloud environments.
Nvidia
NVIDIA DGX GB200 NVL72
NVIDIA DGX GB200NVL72 Enterpris License with no code LLM and agent management experience
Nvidia
NVIDIA DGX GB300 NVL72
NVIDIA DGX GB300NVL72 Enterpris License with no code LLM and agent management experience
The Blackwell Rack-Scale Architecture for Real-Time Trillion-Parameter Inference and Training
The NVIDIA GB200 NVL72 is an exascale computer in a single rack. With 36 GB200s interconnected by the largest NVIDIA® NVLink® domain ever offered, NVLink Switch System provides 130 terabytes per second (TB/s) of low-latency GPU communications for AI and high-performance computing (HPC) workloads.
NVIDIA GB200/300 NVL72
CDU
1300kW @ 4ºC Approach Temperature
AI ModPOD: Revolutionary "AI-Ready" Cooling Technology for Cloud Infrastructure
Deploy next-generation AI cloud infrastructure with our comprehensive ModPOD cooling solutions engineered to handle the extreme thermal demands of high-density AI workloads. Our scalable cooling architecture progresses from traditional Air Cooling systems supporting up to 55kW per rack using chilled water and contained cold aisle design, to advanced Hybrid Direct Liquid Cooling with integrated fan systems delivering up to 120kW per rack through dual water circuit configurations that optimize both liquid and air cooling efficiency.
For ultra-high density deployments, our Fanless Direct Liquid Cooling (DLC) technology eliminates traditional cooling bottlenecks by capturing heat directly from servers and connecting it to specialized cooling distribution systems, supporting up to 400kW per rack without fan noise or air circulation dependencies. At the pinnacle of our cooling innovation, Adaptive Cascade Cooling and Heat Reuse Technology combines air and liquid cooling systems into a single hybrid approach that not only maintains optimal data center temperatures but also transfers excess heat to external consumers, creating sustainable energy loops that reduce operational costs.
This progressive cooling ecosystem ensures your AI cloud infrastructure can scale from moderate compute densities to the most demanding GPU-intensive workloads while maintaining optimal performance, energy efficiency, and environmental sustainability across your entire datacenter operation.
AI ModPOD “AI-ready”cooling technology
Air cooling up to 55kW/rack
Chilled water supply from the facility cools down the air coolingsystem (fan cooling coils) positioned above the IT racks in the contained cold aisle)
Hybrid Direct Liquid Cooling with fans
up to 120kW/rack
Combined DLC and air cooling through two water circuits, typically with a 70/30 mix respectively
Fanless DLC up to 400kW/rack
100% server heat is captured through coldplatesand directly connected to the cooling distribution systems
Adaptive Cascade Cooling and heat reuse technology
Combines air and liquid coolingsystems into a single hybrid approach with adaptive control. Heat reuse transfers heat to the consumer while maintaining isolation of the data center loop
Air cooling up to 55kW/rack
Huawei Cloud AI Services:
GPU as a Service with Advanced Agentic AI Platform
Accelerate your AI transformation with our comprehensive Huawei Cloud partnership delivering enterprise-grade GPU as a Service solutions enhanced by our proprietary Agentic AI software platform. Through Huawei Cloud’s robust infrastructure, we provide on-demand access to high-performance GPU resources including NVIDIA H100, A100, and V100 instances that scale dynamically with your workload requirements, eliminating the need for massive capital investments in AI hardware while ensuring global accessibility and 99.9% uptime reliability.
Our value-added Agentic AI Software Layer transforms standard GPU cloud services into intelligent, self-managing AI orchestration platforms that automate complex workflows, optimize resource allocation, and coordinate multiple AI agents for sophisticated task execution. This integrated approach combines Huawei Cloud’s world-class infrastructure with our advanced AI orchestration capabilities, enabling enterprises to deploy everything from simple machine learning models to complex multi-agent AI systems with unprecedented ease and efficiency.
Experience the power of cloud-native AI with flexible consumption models, automated scaling, comprehensive monitoring, and enterprise-grade security, all while leveraging our Agentic AI platform that intelligently manages your AI workloads across Huawei Cloud’s global network, ensuring optimal performance, cost efficiency, and seamless integration with your existing business processes and data pipelines
Solutions for Unleashing Digital and Powering Innovation
- Ready-to-use AI equipment powered by Huawei Cloud
- High-performance infrastructure for AI workloads
- Flexible, scalable, and cost-effective solutions
- Trusted global cloud ecosystem
Enterprise AI Storage: Ultra-High Performance for Demanding AI Workloads
Power your most intensive AI applications with our enterprise-grade storage portfolio featuring Huawei Doradoo, DDN EXAScaler, and DDN-AI IntelliFlash systems engineered for 400Gbps+ InfiniBand and ROCE connectivity with ultra-low latency performance. These advanced storage platforms integrate GPU-direct NVMe SSDs and high-speed object storage capabilities specifically optimized for AI training, inference, and large-scale data analytics workloads that demand massive throughput and minimal data access delays. Our solutions seamlessly handle petabyte-scale datasets with parallel file systems, distributed object storage, and intelligent data tiering that automatically optimizes performance for machine learning pipelines, deep learning training, and real-time AI inference scenarios. Experience unmatched storage performance with enterprise reliability, automated data management, and scalable architectures that grow with your AI infrastructure while maintaining consistent sub-millisecond response times. Each platform delivers the storage foundation essential for next-generation AI applications including large language models, computer vision processing, and high-frequency trading systems that require instant data access across distributed computing environments.
Enterprise-grade AI Storage optimized for 400Gbps In-NiBand,
ultra-low latency, and GPU-direct NVMe SSDs.
Storage Comparison: Huawei Dorado vs DDN for AI Environments
100GB+ Connectivity Models Optimized for AI Training & Inference Workloads
| Criteria | Dorado 3000 V6 | Dorado 5000 V6 | Dorado 6000 V6 | Dorado 18000 V6 | DDN ES/AI400X2 | DDN ES/AI200X2 | DDN SFA400X2 | DDN GRIDScaler |
|---|---|---|---|---|---|---|---|---|
| #100GbE Front-End | 100GbE; NVMe-oF RoCE at 25Gb | 25/100Gb NVMe-oF RoCE; 100GbE | 25/100Gb NVMe-oF RoCE; 100GbE | 100Gb RoCE; 25Gb NVMe-oF RoCE; up to 104 ports | 4x HDR/HDR100 IB or 4x 200/100GbE | 8x HDR/HDR100 IB or 8x 200/100GbE | 8x HDR/HDR100 IB or 8x 200/100GbE | 100Gb EDR IB; 100GbE; newer models with NDR200 IB |
| Performance | 0.05ms latency; 50% higher perf than prev gen | 0.05ms latency; E2E NVMe; massive concurrency | 0.05ms latency; E2E NVMe; higher SSD counts | 0.05ms latency; up to 21M SPC-1 IOPS (family result) | High throughput/IOPS; no specific GB/s in data sheet | 90+ GB/s read; 65+ GB/s write; ~3M IOPS | 115 GB/s read; 75 GB/s write; ~3M IOPS | SPEC SFS2014 0.61ms response time; high throughput |
| AI/GPU Integration | NVMe queues; FlashLink; no explicit GDS reference | NVMe-oF RoCE with DCB lossless; FlashLink | NVMe-oF RoCE with DCB lossless; FlashLink | High port counts for fan-out; massively parallel I/O | GDS support; Hot Nodes GPU caching | GDS support; validated with NVIDIA DGX H100; 1.4 GB/s per H100 GPU | Block storage for parallel filesystems; no direct GDS mention | IBM Spectrum Scale with GPU integration paths |
| Architecture | SmartMatrix; E2E NVMe; 100Gb back- end RDMA | SmartMatrix full- mesh; E2E NVMe; 100Gb RDMA back-end | SmartMatrix full-mesh; E2E NVMe; higher density NVMe | SmartMatrix full-mesh; 4U controller enclosures; high modularity | Parallel Lustre (EXA6); 2U appliance | Parallel Lustre (EXA6); end- to-end parallel data paths | Pure NVMe block; building block for filesystems | Parallel file/NAS based on IBM Spectrum Scale |
| Scalability | Up to 16 controllers; IOPS scales linearly | Up to 32 controllers; linear IOPS growth | Up to 32 controllers; 1- 16TB cache per dual- controller | Up to 32 controllers; 512GB-32TB cache per dual- controller | Scale-out architecture; 1- many appliance | Linear performance scaling; validated at BasePOD scale | Scale with additional arrays; hybrid expansion | Enterprise-scale multi-tenant clusters |
| Best for AI Workloads | Edge AI, departmental inference, Dev/Test | Medium AI training/inference clusters | Larger mid- range training; mixed workloads | Enterprise- scale training; multi-tenant AI platforms | Compact AI/HPC; smaller GPU clusters | DGX H100 BasePOD; validated with 4-16 DGX systems | High- throughput AI pipelines; backing filesystems | Enterprise NAS for mixed AI/HPC applications |
Notes: All Huawei models feature 0.05ms latency with E2E NVMe. DDN A3I solutions validated specifically for NVIDIA DGX H100 environments. GDS = NVIDIA GPUDirect Storage; HDR/HDR100 = 200/100Gb InfiniBand; IB = InfiniBand; RoCE = RDMA over Converged Ethernet.
Enterprise AI Networking: Ultra-High Speed Connectivity for Next-Generation AI Workloads
Transform your AI infrastructure with our comprehensive networking portfolio featuring enterprise-class NVIDIA Quantum-2 architecture switches including the QM9700 and QM9790 InfiniBand systems delivering 400Gbps and 800Gbps+ connectivity for the most demanding HPC fabrics and AI training clusters. Our advanced networking ecosystem combines high-performance InfiniBand and ROCE (RDMA over Converged Ethernet) technologies through H3C’s S9827 and S9855 switches, enabling ultra-low latency communication essential for distributed AI training, large language model processing, and real-time inference workloads.
These enterprise-grade networking solutions excel in modern leaf-spine network topologies, providing the non-blocking, high-bandwidth connectivity required for GPU clusters, AI supercomputing environments, and massive parallel processing systems where microsecond-level latency directly impacts training performance and model accuracy. Our ConnectX adapters, transceivers, and cables complete the networking fabric, ensuring seamless integration and optimal performance across heterogeneous AI infrastructure deployments.
Experience unparalleled network performance with intelligent traffic management, adaptive routing, and congestion control specifically optimized for AI workloads including distributed deep learning, federated learning architectures, and multi-node inference systems that demand consistent, predictable network performance at scale.
Enterprise-class In niBand Switching with Quantum-2 architecture for next-gen AI workloads and HPC fabrics
Nvidia
NVIDIA Quantum-2 QM9700 (Infiniband)
Nvidia
NVIDIA Quantum-2 QM9790 (Infiniband)
H3C Eth Switch (ROCE) S9827
H3C Eth Switch (ROCE) S9855
Nvidia
ConnectX Adapters & Transceivers and Cables
| Features | NVIDIA Quantum-2 QM9700 InfiniBand - InternalSM |
NVIDIA Quantum-2 QM9790 InfiniBand - ExternalSM |
H3C S9827 EthernetRoCE - 800G |
H3C S9855 EthernetRoCE - 400G |
|---|---|---|---|---|
| Port Configuration | 64 × 400Gb/s NDR InfiniBand (OSFP) | 64 × 400Gb/s NDR InfiniBand (OSFP) | Up to 64 × 800G or 128 × 400G ports | High-density 400G/200G/100G ports (model dependent) |
| Fabric Capacity | 51.2 Tb/s switching | 51.2 Tb/s switching | Up to 102.4 Tb/s | Up to 25.6 Tb/s (S9855-32D model) |
| Packet Processing | ~66.5 Bpps | ~66.5 Bpps | Not specified | 5346.7 Mpps (S9855-32D model) |
| Latency | Sub-microsecond | Sub-microsecond | <1.2µs | <1.2µs |
| Protocol & AI Features |
• SHARPv3 in-network computing • Adaptive routing • Advanced congestion control • Self-healing networking |
• SHARPv3 in-network computing • Adaptive routing • Advanced congestion control • Self-healing networking |
• RoCEv2 with PFC + ECN • DCBX for lossless Ethernet • Next-gen 800G support • ECMP for scale-out fabrics |
• RoCEv2 with DCB • PFC, ECN, ETS features • ROCE stream analysis • PFC deadlock watchdog |
| Management | Onboard subnet manager (up to 2,000 nodes) | External UFM/subnet manager control | Telemetry, INT, ZTP support | Telemetry, INT, ZTP support |
| Form Factor | 1U, 14.5kg | 1U, 14.5kg | 1U, ≤12.2kg (model dependent) | 1U, ≤12.2kg (model dependent) |
| Power Consumption | Typical: 720W with passive cables | Typical: 720W with passive cables | Max: 739W (dual AC inputs) | Max: 713W (S9855-48CD8D model) |
| Use Cases | Large-scale training clusters with collectives, DGX SuperPOD architectures | Large centrally-managed fabrics with UFM control | Next-gen 800G AI data centers, AIGC workloads | High-density 400G/100G deployments with RoCE requirements |
InfiniBand Advantages (NVIDIA Quantum-2)
- Native InfiniBand protocol with RDMA SHARP offloads
- for collective operations in AI training Lower latency
- for HPC applications DGX SuperPOD validated
- architecture
- Comprehen sive s elf-healing and congestion management
Ethernet Advantages (H3C RoCE)
- Higher port density with 800G support Standard
- Ethernet compatibility with RDMA capabilities DCB
- features for lossless transport Greater versatility and
- ecosystem compatibility Future-ready with higher
- bandwidth optiotins
Computational foundation for advanced AI operations.
The Soika Stack Framework serves as the intelligent middleware layer, featuring our comprehensive Model Catalogue for AI model management, advanced Management tools for resource allocation and monitoring, and GPU Cluster orchestration capabilities that seamlessly distribute workloads across your infrastructure. This framework enables seamless model deployment, version control, and performance optimization across heterogeneous computing environments.
At the pinnacle of our platform, Soika Mockingjay revolutionizes AI collaboration through our groundbreaking Agent-to-Agent (A2A) communication platform, where Custom Agents work together in interconnected networks to solve complex business challenges. This no-code platform enables millions of AI agents to collaborate on single missions, creating the world’s largest multi-agent workforce that transforms text-to-action capabilities and accelerates go-to-market strategies.
Whether deploying on-premises with our Enterprise solution for data protection and regional collaboration, or leveraging our Cloud platform for global agent networks and commercial AI agent marketplaces, Soika delivers the complete infrastructure and software stack needed to build, deploy, and scale collaborative AI agents that drive real-world business outcomes.
Soika Mockingjay Platform
Soika Stack Framework
Model Catalogue
Management
GPU Cluster
Soika: Complete AI Infrastructure Platform
Core Components
Stack Module (Infrastructure Management)
Comprehensive AI Infrastructure Control
Real-time GPU and system resource monitoring with live performance tracking
Streamlined model deployment and execution with customizable parameters through intuitive GUI
Secure API key management for agents and services integration
Complete MLOps workflow automation through user-friendly graphical interface
Soika-Mockingjay Module (Agent Creation & Management)
Intelligent Agent Ecosystem
Create, configure, and manage sophisticated AI agents with custom capabilities
Advanced inter-agent communication with granular access control and role-based permissions
Dynamic model switching allowing independent updates for each agent
Knowledge base integration connecting agents to organizational data sources
Web tool connectivity for enhanced agent capabilities
Flexible API integration supporting GET/POST methods and JSON structures
Multi-level access restrictions based on user roles and security requirements
Recommended Use Cases
Enterprise AI Management: Centralized control of organizational AI projects and deployments
Cross-Team Collaboration: Bridge technical and non-technical teams with intuitive interfaces
Secure System Integration: Connect agents to organizational systems with enterprise-grade security
Enhanced Agent Intelligence: Leverage knowledge centers to create more capable and informed AI agents
Soika MOCKINGJAY
SOIKA MOCKINGJAY ENTERPRISE – A software solution to host LLM on premise and design a custom AI assistant by click, flexible to integrations and LLM models switch. All in one AI Workstation & self host software allows to protect data and collaborate at regional or global scale. Manage AI Agents, host it as a part of global AI network, collaborating with the world of Agents at a scale.
Build custom AI Agents with or without GPU servers
Soika Cloud drops limits of AI by creating a collaborative environment between commercial AI Agents of different companies. Our focus at cloud project is on cost reduction, Agent to Agent collaboration at scale and adoption of commercial payments. Cloud platform will open opportunity to sell a product and services through AI Agents at scale. Platform supports National White Label Solution
AI to AI communication at scale
First of its kind A2A platform to enable Agent to Agent collaboration synergy to accomplish complex missions. We let text to action AI Agents to collaborate and combine expertise, integrated tools to make things done. We pay attention to web3 tech to reach some financial automation.
Soika Stack Features
Dashboard & Monitoring
Real-time system overview with active workers, GPUs, loaded models, and replicas. Live system load monitoring with graphical display of GPU, CPU, RAM, and VRAM usage. Average utilization meters and usage analytics including API requests and token consumption
Interactive Playground
Test and experiment with AI models in a controlled environment. Configure model parameters (temperature, max tokens, top P, seed, stop sequences). System and user instruction settings with real-time response testing. Output comparison and code generation for direct project integration
Model Catalog
Comprehensive repository of AI models including LLMs, multimodal, and specialized models. Detailed model information with size, release date, licensing, and I/O specifications. Advanced filtering, search, and comparison capabilities for optimal model selection
Model Management
Complete lifecycle management of deployed AI models. Deploy, monitor, stop, and delete models with replica management. Real-time status monitoring with detailed deployment information. Support for models from Hugging Face and other repositories
Resource Monitoring
Hardware oversight for GPUs and workers with temperature monitoring. Real-time GPU and VRAM utilization tracking with visual indicators. Load detection and performance optimization tools
API Key Management
Secure API key generation and management for external integrations. Key lifecycle control with expiration dates and descriptions. Simple integration with applications and external services
User Administration
Multi-role user management with admin and user permissions. User creation, role assignment, and access control. Comprehensive user listing with creation dates and profile management. This enterprise-grade AI infrastructure platform provides complete control over AI model deployment,. monitoring, and management with robust security and user management features.
Automation Anywhere: Agentic Process Automation System
Intelligent Automation That Thinks and Adapts
Automation Anywhere’s Agentic Process Automation System combines AI’s analytical power with automation’s execution capabilities, creating intelligent agents that think, adapt, and learn like humans while handling complex business processes.
How It Works
Process Reasoning Engine (PRE): Trained on 400M+ enterprise workflows, enabling AI agents to understand context, plan dynamically, and collaborate with humans securely.
Three-Step Process:
- Discovery: Identify automation opportunities across workflows
- Design: Create intelligent workflows using AI, RPA, and APIs
- Deploy: Smart AI agents that analyze data, make decisions, and execute actions autonomously
Key Benefits
Enhanced Productivity
- Automates repetitive tasks (data entry, reporting, inquiries)
- Provides real-time insights for faster decision-making
- Reduces errors through consistent AI-driven processes
- Integrates seamlessly with existing tools and legacy systems
Universal Application
Works across all departments: IT, Customer Service, Finance, HR, Sales, Marketing, Operations, and Compliance teams can leverage intelligent automation for their specific needs.
Enterprise Security
- AI guardrails with role-based access controls
- Complete decision logs and real-time monitoring
- Defined escalation paths with human oversight
- Full audit compliance for mission-critical workflows
Advanced Technology
Hybrid AI Models: Combines proprietary Automation Anywhere technology with leading third-party AI (OpenAI, Google, Anthropic) for optimal performance. Legacy Compatible: Works with existing infrastructure without replacement, using APIs and RPA capabilities for seamless integration.
User-Friendly Design
No Technical Skills Required:
- AI Agent Studio: Low-code workspace for creating agents
- Automation Co-Pilot: Access automations within existing applications
- Drag-and-Drop Interface: Visual tools for complex workflows
Why Choose Automation Anywhere?
Beyond Traditional Automation: Extends RPA and BPM investments with AI-driven reasoning, enabling automation of complex, judgment-based workflows previously impossible to automate.
Enterprise-Ready: Industry-leading platform that works safely across any application, team, and environment with comprehensive governance.
Immediate ROI: Start now to gain competitive advantages in the rapidly evolving automation landscape.
Transform your business with Automation Anywhere’s intelligent automation that adapts and scales with your organization’s needs.
