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GPU Servers for AI Training & Inference
Complete systems from Dell, HPE, Supermicro, Lenovo, and Gigabyte — configured with NVIDIA and AMD accelerators. New and certified pre-owned inventory available.
What's Available
8-GPU Training Systems
DGX-style configurations with H100 SXM or MI300X for large model training
4-GPU Inference Servers
Balanced systems for production inference and fine-tuning workloads
PCIe Systems
Air-cooled servers with H100 PCIe, A100, or L40S for standard data center deployment
Liquid-Cooled Systems
High-density configurations for maximum performance per rack unit
Development Workstations
Single and dual-GPU systems for prototyping and experimentation
Selection Guide
GPU Type
H100/H200 for training large models, A100 for general-purpose AI, L40S or A10 for inference, MI300X for AMD-optimized workflows.
Memory
H200 offers 141GB HBM3e, H100 provides 80GB HBM3, A100 is available in 40GB and 80GB configurations.
Interconnect
NVLink provides 900GB/s GPU-to-GPU bandwidth for multi-GPU training. PCIe systems work well for inference.
Power & Cooling
An 8x H100 SXM system draws approximately 10.2kW under load. Verify your facility supports the TDP requirements.
Need help selecting the right configuration? Contact our infrastructure specialists for personalized guidance.
Common Questions
What types of GPU servers are available?
Complete systems from Dell, HPE, Supermicro, Lenovo, and Gigabyte configured with NVIDIA and AMD accelerators. Inventory spans 8-GPU training systems with H100 SXM or MI300X, 4-GPU inference servers, air-cooled PCIe systems with H100 PCIe, A100, or L40S, liquid-cooled high-density configurations, and single or dual-GPU development workstations. New and certified pre-owned units are available.
Which GPU should I choose for my workload?
H100 and H200 are suited to training large models, A100 covers general-purpose AI, L40S and A10 handle inference, and MI300X fits AMD-optimized workflows. On memory, H200 offers 141GB HBM3e, H100 provides 80GB HBM3, and A100 is available in 40GB and 80GB configurations.
Do I need NVLink or PCIe GPU servers?
NVLink provides 900GB/s GPU-to-GPU bandwidth, which matters for multi-GPU training where GPUs exchange data constantly. PCIe systems work well for inference and standard data center deployment.
How much power does an 8-GPU server need?
An 8x H100 SXM system draws approximately 10.2kW under load. Verify your facility supports the TDP requirements of any configuration before ordering, and consider liquid-cooled systems where density per rack unit is the priority.