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Supermicro

Supermicro GPU Servers

Supermicro is where most of the configuration flexibility in this market lives. The same 8-GPU HGX baseboard is available air-cooled, direct-liquid-cooled, with BlueField DPUs, or with a different CPU vendor entirely — and the PCIe platforms cover everything from 4x H100 NVL down to dense L40S inference nodes.

That breadth is the reason to buy it and the reason it needs specifying carefully. We quote the exact SKU, not a family name, so what arrives is what was priced.

9 configurations below · quotes returned within 48 business hours · purchase orders accepted

Supermicro GPU Servers we configure and supply

Every system below is quoted to your workload — accelerator count, CPU, memory, storage and fabric are specified together rather than sold as a fixed SKU.

Supermicro SYS-821GE-TNHR 8x H100 SXM5 (8U HGX) — Nexus Compute hardware
Nexus Compute

Supermicro SYS-821GE-TNHR 8x H100 SXM5 (8U HGX)

Flagship 8-GPU SXM5 node for large-model training and dense inference.

  • Maximum GPU bandwidth
  • Tested before it ships
  • Authorized-channel assurance
Built to order · quote confirms price & lead time
Supermicro 8x H100 SXM5 Direct Liquid-Cooled (8U HGX) — Nexus Compute hardware
Nexus Compute
New

Supermicro 8x H100 SXM5 Direct Liquid-Cooled (8U HGX)

Liquid-cooled 8-GPU H100 density that cuts cooling power and noise.

  • Lower cooling power
  • Sustained peak clocks
  • Integrated and validated
Built to order · quote confirms price & lead time
Supermicro AS-4125GS-TNRT 4x H100 NVL PCIe (Dual EPYC) — Nexus Compute hardware
Nexus Compute

Supermicro AS-4125GS-TNRT 4x H100 NVL PCIe (Dual EPYC)

Flexible 4U PCIe GPU server on dual EPYC for inference and mixed AI.

  • Cost-efficient acceleration
  • Configuration flexibility
  • EPYC core density
Built to order · quote confirms price & lead time
Supermicro SYS-821GE-TNHR — 8x H200 SXM with BlueField-3 DPUs — Nexus Compute hardware
Nexus Compute

Supermicro SYS-821GE-TNHR — 8x H200 SXM with BlueField-3 DPUs

8U HGX H200 SuperServer with 1:1 BlueField-3 networking for HPC at scale.

  • True 1:1 GPU-to-NIC
  • DPU-offloaded networking
  • Serviceable density
Built to order · quote confirms price & lead time
Supermicro 4U — 4x H200 NVL PCIe (4-Way NVLink) — Nexus Compute hardware
Nexus Compute
New

Supermicro 4U — 4x H200 NVL PCIe (4-Way NVLink)

Four NVLink-bridged H200 NVL GPUs for high-memory inference in standard racks.

  • 564GB pooled HBM3e
  • Standard-rack friendly
  • Right-sized for inference
Built to order · quote confirms price & lead time
Supermicro SYS-521GE-TNRT 8x NVIDIA L40S 48GB Inference Server — Nexus Compute hardware
Nexus Compute

Supermicro SYS-521GE-TNRT 8x NVIDIA L40S 48GB Inference Server

Eight L40S GPUs in 5U for high-throughput inference and fine-tuning.

  • Maximum inference density
  • FP8 cost efficiency
  • Tested before delivery
Built to order · quote confirms price & lead time
Supermicro SYS-421GE-TNRT 4x NVIDIA L40S Omniverse & VDI Server — Nexus Compute hardware
Nexus Compute
New

Supermicro SYS-421GE-TNRT 4x NVIDIA L40S Omniverse & VDI Server

Omniverse-certified 4U graphics and VDI compute on four L40S GPUs.

  • Certified for Omniverse
  • Many virtual workstations
  • Visual and AI in one node
Built to order · quote confirms price & lead time
Supermicro AS-8125GS-TNMR2 — 8x MI300X Liquid-Cooled (EPYC 9004) — Nexus Compute hardware
Nexus Compute
New

Supermicro AS-8125GS-TNMR2 — 8x MI300X Liquid-Cooled (EPYC 9004)

Direct-liquid-cooled 8-GPU MI300X density for sustained large-scale training.

  • Sustained training performance
  • Higher rack density
  • 1:1 GPU-to-NIC fabric
Built to order · quote confirms price & lead time
Supermicro AS-2145GH-TNMR-LCC — 4x AMD Instinct MI300A APU (2U) — Nexus Compute hardware
Nexus Compute

Supermicro AS-2145GH-TNMR-LCC — 4x AMD Instinct MI300A APU (2U)

Converged CPU+GPU APUs with unified memory for HPC and AI in 2U.

  • Unified coherent memory
  • Compute density in 2U
  • Tested HPC platform
Built to order · quote confirms price & lead time

What we need to quote accurately

A configuration quote takes minutes when these are known and days of back-and-forth when they are not. You do not need all of them to start — send what you have.

  • The workload: model sizes, training or inference, and expected concurrency
  • Node count, and whether this is a single system or a scaling cluster
  • Rack power and cooling available per rack, and inlet temperature
  • Existing estate — the vendor and management tooling you already run
  • Network fabric: InfiniBand, Ethernet, and the speed you are standardised on
  • Timeline, and whether the budget is approved or being built

How we quote

  1. 1

    Send the requirement

    An email, a bill of materials, or a rough description of the workload. All three work.

  2. 2

    We validate the configuration

    Accelerator, chassis, fabric, power and cooling checked against each other before anything is priced.

  3. 3

    Itemised quote within 48 hours

    Line-by-line pricing, current availability and lead time, with warranty terms stated.

Start a quote

Supermicro GPU server — buyer questions

Air-cooled or liquid-cooled?

Decided by your facility, not by preference. An 8-GPU SXM node at sustained full utilisation is a thermal load many rooms cannot take air-cooled at rack density. Direct liquid cooling raises the ceiling substantially but needs facility water and changes the installation. Tell us your rack power budget and inlet temperature and we will tell you which is realistic.

What is the difference between the 821GE-TNHR and the 4125GS-TNRT?

The 821GE-TNHR is an 8U HGX platform with SXM modules on an NVLink baseboard — for training that spans GPUs. The 4125GS-TNRT is a 4U PCIe system taking H100 NVL cards on dual EPYC — for inference and fine-tuning that fits within one or two GPUs. Different jobs, not different tiers.

Can you supply Supermicro systems with InfiniBand pre-configured?

Yes. We quote the adapters, switches, cables and rail-optimised layout with the nodes, because a training cluster ordered without its fabric is not a cluster.