Typical configuration
Supermicro 4× GPU AI Node
- chassis
- Supermicro AS-4125GS-TNRT
- cpu
- AMD EPYC 9554
- gpu
- 4× NVIDIA H100 (PCIe)
- ram
- 512GB DDR5 ECC
- storage
- 4× NVMe U.3 (3.84TB)
- network
- 2× 100GbE
Enterprise rack servers
Supermicro Servers
High-performance rack servers from Supermicro — GPU-ready, storage-dense, built to spec.
- Up to 8× H100 / H200 GPUs per node
- AMD EPYC & Intel Xeon platforms
- High-IOPS NVMe storage configurations
- IPMI remote management
Supermicro's server portfolio spans GPU-dense AI systems, high-IOPS NVMe storage nodes, and general-purpose AMD EPYC compute — all configurable online with compatibility-validated components.
- Delivered pre-built and fully tested
- Instant configuration & quotes
- 24/7 expert support across Europe
Configure a Supermicro Server
Experts in configuring Supermicro Servers
At a glance
Up to 8× datacenter GPUs (PCIe or SXM)
AMD EPYC 9004 / 9005 series
DDR5 ECC memory
NVMe U.2 / U.3 storage
IPMI 2.0 remote management
Redundant platinum-rated PSUs
Why choose Supermicro Servers | Configure & Deploy
Supports Up to 8× datacenter GPUs (PCIe or SXM) for AI training & fine-tuning, Inference & model serving to keep GPUs fed and raise throughput.
Validated Up to 8× datacenter GPUs (PCIe or SXM) against power and thermal envelopes for sustained utilisation.
Optimised NVMe U.2 / U.3 storage for AI training & fine-tuning, Inference & model serving to cut staging latency and keep accelerators compute-bound.
Aligns DDR5 ECC memory with batch throughput to avoid CPU bottlenecks during AI training & fine-tuning, Inference & model serving.
Engineered Redundant platinum-rated PSUs to hold thermal and electrical margins under sustained load.
Use cases
- AI training & fine-tuning
GPU-dense Supermicro systems sustain high utilisation during multi-GPU training with validated power and cooling headroom.
- Inference & model serving
Low-latency inference at scale with 4–8 GPU configurations and high-bandwidth NVMe model storage.
- High-IOPS storage
NVMe-dense Supermicro nodes deliver consistent IOPS for databases, analytics pipelines, and object storage.
- HPC & scientific compute
High core-count AMD EPYC systems with broad memory bandwidth for parallel and simulation workloads.
Not sure where to start? Talk to an engineer.
Our team will spec the right platform for your workload, validate compatibility, and turn it around fast.
Architecture & key features
PCIe bandwidth & expansion
Supports Up to 8× datacenter GPUs (PCIe or SXM) lanes and slot topology to minimise interconnect stalls and raise throughput.
GPU support & density
Provides Up to 8× datacenter GPUs (PCIe or SXM) expansion with sufficient power and thermal headroom for sustained utilisation.
Storage architecture (NVMe)
Uses NVMe U.2 / U.3 storage to reduce staging latency and improve checkpoint write bandwidth.
Cooling & power considerations
Engineered Redundant platinum-rated PSUs for stable thermal and electrical margins under sustained load.
Example builds
Representative configurations — every build is tailored to your workload and environment.
Typical configuration
Supermicro 8× GPU Training Server
- chassis
Variants & options
Supermicro GPU Servers
4– and 8–GPU systems (AS-4125GS-TNRT, AS-8125GS-TNHR) for AI training and HPC.
Supermicro NVMe Storage Servers
High-density NVMe nodes (AS-1115SV-WTNRT) for databases and data-intensive workloads.
Supermicro EPYC Compute
General-purpose AMD EPYC platforms (AS-2025HS-TNR) for virtualization and enterprise compute.
Supermicro AI Training
Purpose-built 8-GPU HGX nodes (AS-8125GS-TNHR) for LLM training with H100 / H200.
Instant Quotes
Configure and price in minutes
Guaranteed Compatible
If it's listed, it works together
Pre-Built & Tested
Full burn-in before it leaves us
UK Headquarters
Built, tested, and shipped from the UK
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