AI Server Products

Purpose-built servers powered by NVIDIA HGX H100, H200, B200 platforms and specialized ASIC technology, designed to accelerate your AI inference and training workloads.

Inference Servers

Optimized for real-time AI inference with ultra-low latency and maximum throughput.

  • Sub-millisecond response times
  • Up to 100K concurrent requests
  • 80% energy efficiency improvement
  • Auto-scaling capabilities
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Training Servers

High-memory, high-compute systems designed for efficient model training and fine-tuning.

  • Up to 2TB high-bandwidth memory
  • Multi-node training support
  • 50% faster training times
  • Advanced gradient synchronization
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Hybrid AI Servers

Versatile systems that handle both training and inference workloads with intelligent resource allocation.

  • Dynamic workload switching
  • Optimal resource utilization
  • Cost-effective deployment
  • Seamless scaling
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NVIDIA HGX Servers

Enterprise-grade servers powered by NVIDIA HGX H100, H200, and B200 platforms for unparalleled AI performance.

  • Up to 180GB HBM3e per GPU
  • 989 Tensor TFLOPS
  • 400 Gb/s networking
  • Enterprise reliability
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Inference Servers

Built for speed, optimized for scale

InferenceOne Pro

Most Popular

High-performance inference server ideal for LLM deployment and real-time AI applications.

8
Custom ASICs
512GB
HBM Memory
50K
Requests/sec
2ms
Avg Latency

Technical Specifications

  • AI Accelerators: 8x Custom ASICs (400 TOPS each)
  • Memory: 512GB HBM3 (8TB/s bandwidth)
  • Network: 8x 100GbE, InfiniBand HDR
  • Power: 800W (vs 2400W GPU equivalent)
  • Form Factor: 4U Rackmount

Ideal Use Cases

  • • Large Language Model inference (GPT, BERT, T5)
  • • Real-time chatbots and virtual assistants
  • • High-frequency trading algorithms
  • • Computer vision applications
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InferenceOne Enterprise

Enterprise

Maximum performance inference server for the most demanding enterprise AI workloads.

16
Custom ASICs
1TB
HBM Memory
100K
Requests/sec
1ms
Avg Latency

Technical Specifications

  • AI Accelerators: 16x Custom ASICs (400 TOPS each)
  • Memory: 1TB HBM3 (16TB/s bandwidth)
  • Network: 16x 100GbE, InfiniBand NDR
  • Power: 1200W (vs 4800W GPU equivalent)
  • Form Factor: 6U Rackmount

Ideal Use Cases

  • • Massive-scale LLM serving (ChatGPT-scale)
  • • Multi-model inference pipelines
  • • Enterprise AI platforms
  • • High-throughput recommendation systems
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Training Servers

Accelerate model development and training

TrainingOne Pro

Training Optimized

High-memory training server designed for efficient model development and fine-tuning.

8
Training ASICs
1TB
System Memory
50%
Faster Training
175B
Max Parameters

Technical Specifications

  • AI Accelerators: 8x Training ASICs (300 TFLOPS each)
  • System Memory: 1TB DDR5-6400
  • Accelerator Memory: 512GB HBM3 per ASIC
  • Storage: 100TB NVMe SSD Array
  • Power: 1500W

Ideal Use Cases

  • • Large language model training
  • • Computer vision model development
  • • Research and experimentation
  • • Model fine-tuning and adaptation
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TrainingOne Cluster

Multi-Node

Distributed training solution for the largest models with seamless multi-node scaling.

64
Training ASICs
8TB
Total Memory
10x
Training Speed
1T+
Max Parameters

Technical Specifications

  • Configuration: 8x TrainingOne Pro nodes
  • Interconnect: 800Gbps InfiniBand NDR
  • Total ASICs: 64x Training ASICs
  • Aggregate Memory: 8TB System + 32TB Accelerator
  • Management: Unified cluster orchestration

Ideal Use Cases

  • • Trillion-parameter model training
  • • Foundation model development
  • • Large-scale research projects
  • • Multi-modal model training
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Hybrid AI Servers

Versatile solutions for dynamic workloads

HybridOne Pro

Versatile

Adaptive server that seamlessly switches between training and inference modes based on demand.

12
Adaptive ASICs
768GB
Unified Memory
Auto
Mode Switch
90%
Utilization

Key Features

  • Dynamic Allocation: Real-time workload balancing
  • Modes: Training, Inference, Mixed
  • Switching Time: < 5 seconds
  • Efficiency: 90%+ resource utilization

Ideal Use Cases

  • • Development and production environments
  • • Variable workload patterns
  • • Resource-constrained deployments
  • • Multi-tenant AI platforms
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EdgeOne Compact

Edge AI

Compact edge server designed for distributed AI deployments with low power consumption.

4
Edge ASICs
128GB
Memory
150W
Power Draw
1U
Form Factor

Technical Specifications

  • AI Accelerators: 4x Edge ASICs (100 TOPS each)
  • Memory: 128GB DDR5
  • Storage: 4TB NVMe SSD
  • Connectivity: WiFi 6E, 5G, Ethernet
  • Operating Temp: -20°C to 60°C

Ideal Use Cases

  • • Autonomous vehicles and robotics
  • • Smart city infrastructure
  • • Industrial IoT applications
  • • Remote AI deployments
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NVIDIA HGX Servers

Enterprise-grade AI infrastructure powered by NVIDIA HGX platforms

Supermicro HGX H200

Flagship

The ultimate AI inference and training server with NVIDIA H200 GPUs for maximum performance and scalability.

8
H200 GPUs
1.128TB
GPU Memory
989
Tensor TFLOPS
4.8TB/s
Memory Bandwidth

Technical Specifications

  • Form Factor: 8U Rack Server Chassis
  • CPUs: 2x Intel Xeon Platinum 8468
  • GPUs: 8x NVIDIA HGX H200 SXM
  • GPU Memory: 141GB HBM3e per GPU (1.128TB total)
  • System Memory: 2.0TB DDR5-4800 ECC
  • Storage: 4x 7.64TB U.3 NVMe (30.56TB)
  • Network: 8x NVIDIA ConnectX-7 400 Gb/s

Ideal Use Cases

  • • Massive-scale LLM inference and training
  • • High-performance computer vision systems
  • • Real-time analytics and decision systems
  • • Advanced AI research
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Supermicro HGX H100

Enterprise Standard

Proven enterprise AI server with NVIDIA H100 GPUs for exceptional price-performance.

8
H100 GPUs
640GB
GPU Memory
3TB/s
Memory Bandwidth
900GB/s
NVLink

Technical Specifications

  • Form Factor: 8U Rack Server Chassis
  • CPUs: 2x Intel Xeon Platinum 8480+
  • GPUs: 8x NVIDIA HGX H100 SXM
  • GPU Memory: 80GB HBM3 per GPU (640GB total)
  • System Memory: 2.0TB DDR5-4800 ECC
  • Storage: 8x 7.64TB U.3 NVMe (61.12TB)
  • Network: 8x NVIDIA ConnectX-7 400 Gb/s

Ideal Use Cases

  • • Enterprise AI inference and training
  • • Large-scale recommendation systems
  • • Real-time analytics platforms
  • • Cost-effective AI deployments
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Supermicro HGX B200

Next-Gen

Cutting-edge AI server with NVIDIA B200 GPUs for future-proof performance and research applications.

8
B200 GPUs
1.44TB
GPU Memory
6TB/s
Memory Bandwidth
PCIe 5.0
Expansion

Technical Specifications

  • Form Factor: 10U Rack Server Chassis
  • CPUs: 2x AMD EPYC 9005/9004 Series
  • GPUs: 8x NVIDIA HGX SXM B200
  • GPU Memory: 180GB HBM3e per GPU (1.44TB total)
  • System Memory: Up to 6.0TB DDR5-6400 ECC
  • Storage: 8x PCIe 5.0 NVMe U.2, 2x 2.5" SATA
  • Network: 2x 10 Gb/s RJ-45 (Intel X710)

Ideal Use Cases

  • • Cutting-edge AI research
  • • Trillion-parameter model training
  • • Advanced multi-modal AI systems
  • • Future-proof enterprise deployments
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Product Comparison

Choose the right server for your AI workload

Feature InferenceOne Pro TrainingOne Pro HybridOne Pro EdgeOne Compact HGX H100 HGX H200 HGX B200
Primary Use Inference Training Both Edge Inference Both Both Both
Accelerators 8 Inference ASICs 8 Training ASICs 12 Adaptive ASICs 4 Edge ASICs 8 H100 GPUs 8 H200 GPUs 8 B200 GPUs
Memory 512GB HBM3 1TB System 768GB Unified 128GB DDR5 640GB HBM3 1.128TB HBM3e 1.44TB HBM3e
Max Requests/sec 50K N/A 30K 5K 75K 100K 120K
Power Consumption 800W 1500W 1000W 150W 4000W 4500W 5000W
Form Factor 4U 4U 5U 1U 8U 8U 10U
Starting Price $89K $125K $149K $29K $200K $250K $300K

Ready to Accelerate Your AI?

Get expert consultation to choose the right NVIDIA HGX or ASIC-based server configuration for your specific AI workloads.

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