GPU Clusters

GPU Appliances & Clusters

High-density GPU servers with NVIDIA H100, A100, and L40S GPUs. NVLink/NVSwitch fabrics, liquid cooling, and density-optimized rack designs for maximum AI performance.

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GPU Hardware Options

Latest NVIDIA GPUs optimized for AI training and inference

NVIDIA H100

Memory:80GB HBM3

Bandwidth:3.35 TB/s

Performance:4 PFLOPS (FP8)

Interconnect:NVLink 4.0 (900 GB/s)

TDP:700W

Best For:

Large language models, GPT training, transformer models

From $25,000/GPU

NVIDIA A100

Memory:40GB/80GB HBM2e

Bandwidth:1.6/2.0 TB/s

Performance:312 TFLOPS (FP16)

Interconnect:NVLink 3.0 (600 GB/s)

TDP:400W

Best For:

General AI training & inference, computer vision

From $12,000/GPU

NVIDIA L40S

Memory:48GB GDDR6

Bandwidth:864 GB/s

Performance:362 TFLOPS (FP8)

Interconnect:PCIe Gen4

TDP:350W

Best For:

AI inference, graphics rendering, mixed workloads

From $8,000/GPU

Interconnect Technologies

High-bandwidth, low-latency GPU interconnects for distributed training

NVLink 4.0

900 GB/s per GPU

All-to-all connectivity

Direct GPU-to-GPU
Low latency
High bandwidth
Scalable to 256 GPUs

NVSwitch

7.2 TB/s aggregate

Non-blocking switch fabric

Full bisection bandwidth
Up to 256 GPUs
Zero contention
Hardware acceleration

Infiniband HDR

200 Gb/s per port

Fat-tree or dragonfly

RDMA support
Low latency (<1μs)
Scalable to thousands
MPI optimized

Rack Configurations

Density-optimized designs for maximum performance per rack

High-Density 8-GPU

GPUs:8x H100/A100

Form Factor:4U rackmount

Power:6-8 kW

Cooling:Air or liquid

NVLink connected
Dual redundant PSU
Hot-swappable
Remote management

Ultra-Dense 16-GPU

GPUs:16x A100

Form Factor:8U rackmount

Power:12-15 kW

Cooling:Liquid cooling required

NVSwitch fabric
Redundant cooling
Modular design
Tool-less service

Inference Optimized

GPUs:10x L40S

Form Factor:4U rackmount

Power:4-5 kW

Cooling:Air cooling

PCIe Gen4
High density
Low power
Cost optimized

Cooling Solutions

Choose the right cooling solution for your deployment

Air Cooling

PUE: PUE 1.4-1.6

Capacity: Up to 8 kW/rack

Pros:

• Lower upfront cost
• Simpler maintenance
• Proven technology

Cons:

• Higher PUE
• Noise
• Space requirements

Best For:

Up to 8 GPUs per server

Direct Liquid Cooling

PUE: PUE 1.1-1.2

Capacity: Up to 40 kW/rack

Pros:

• High efficiency
• Quiet operation
• Compact design
• Better performance

Cons:

• Higher upfront cost
• Specialized maintenance

Best For:

8+ GPUs per server, high-density deployments

Performance Benchmarks

Real-world performance comparison across GPU models

Workload	H100	A100	Speedup
GPT-3 Training (175B)	~500 tokens/sec	~200 tokens/sec	2.5x
BERT Training (Base)	~8,000 samples/sec	~3,200 samples/sec	2.5x
ResNet-50 Training	~5,000 images/sec	~2,000 images/sec	2.5x
Stable Diffusion Inference	~100 images/sec	~40 images/sec	2.5x

Pricing & Configurations

Flexible configurations to match your requirements

Entry

4x A100 (40GB)

$60,000/month

4x NVIDIA A100 40GB
NVLink connected
100GbE networking
Air cooling
10TB NVMe storage

Best For:

Small teams, R&D, proof of concepts

Professional

8x H100 (80GB)

$250,000/month

8x NVIDIA H100 80GB
NVLink 4.0 fabric
200GbE networking
Liquid cooling
50TB NVMe storage
Dedicated support

Best For:

Production LLM training, large-scale AI

Enterprise

32x H100 (80GB)

Custom pricing

32x NVIDIA H100 80GB
NVSwitch fabric
Infiniband HDR
Liquid cooling
200TB parallel storage
White-glove support
On-site engineers

Best For:

Large enterprises, research institutions

Ready to Deploy Your GPU Cluster?

Get a free cluster sizing consultation and custom configuration

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