AI & Deep Learning
Infrastructure Solutions
From intelligent edge inferencing to rack-scale LLM training clusters — Supermicro delivers purpose-built AI infrastructure with the broadest GPU platform selection available. Configured and supplied by Servero, UK Supermicro Authorised Partner.
AI Use Cases & Deployment Models
Supermicro covers every stage of AI deployment — from a single inference node to a multi-rack training cluster. Servero configures and supplies all platforms for UK and EMEA customers.
Large-Scale AI Training
Train large language models and generative AI at scale with Supermicro's flagship rack-scale GPU systems. HGX B200 and B300 platforms deliver the compute density required for multi-billion parameter models, with NVLink fabric and 1:1 high-speed networking per GPU for efficient gradient synchronisation across nodes.
- ▸NVIDIA HGX B200 / B300 — up to 8 Blackwell GPUs per node
- ▸NVLink & NVSwitch for low-latency multi-GPU communication
- ▸Up to 72 GPUs per rack in rack-scale configurations
- ▸1.8TB/s GPU interconnect bandwidth
- ▸Direct liquid cooling for sustained peak performance
AI Inference
Deploy trained models at scale with inference-optimised GPU servers. Supermicro offers a full range from high-density 8-GPU systems handling concurrent inference at datacenter scale, down to compact 1U and 2U servers for department-level or edge inference workloads — all configurable to your throughput and latency requirements.
- ▸NVIDIA HGX H100 / H200 — proven inference platforms
- ▸4U/5U PCIe GPU servers — flexible multi-GPU inference
- ▸2U inference-optimised servers for high-density deployments
- ▸1U GPU servers for space-constrained environments
- ▸PCIe 5.0 / 6.0 for high-bandwidth model loading
Edge AI & Inferencing
Bring AI intelligence directly to the point of data generation. Supermicro's compact edge AI systems provide GPU-accelerated inferencing in short-depth, low-power chassis — suitable for retail, manufacturing, telecoms, and industrial environments where latency, footprint, or connectivity constraints rule out centralised cloud inference.
- ▸Short-depth and compact chassis for non-standard environments
- ▸Low-power GPU options for constrained power budgets
- ▸Suitable for 5G / AI-RAN and telco edge deployments
- ▸H15 CloudDC platform for edge cloud-scale AI
- ▸Remote management and fleet monitoring support
AI Factory — Turnkey Rack Solutions
For organisations deploying AI at rack or multi-rack scale, Supermicro and NVIDIA offer pre-validated AI Factory solutions — fully integrated racks combining compute, networking, storage, and software. Supermicro's role as an NVIDIA-certified partner means these configurations are validated against NVIDIA Enterprise Reference Architecture for reliable, production-ready deployment.
- ▸NVIDIA Enterprise Reference Architecture validated
- ▸Integrated compute, networking, and storage per rack
- ▸Data Centre Building Block Solutions (DCBBS) modular design
- ▸Supports DGX, HGX, and MGX platforms
- ▸Turn-key delivery reduces deployment time and risk
AI System Platforms
Supermicro offers the broadest range of GPU-optimised servers of any manufacturer. Servero configures and supplies all platforms — new and refurbished — with UK stock availability.
NVIDIA HGX B200 / B300
Flagship Blackwell AI training and inferencing. Up to 8 GPUs per node, NVLink interconnect, rack-scale configurations up to 72 GPUs.
NVIDIA HGX H100 / H200
The proven enterprise AI platform. Hopper-generation GPUs with NVLink, 80GB or 141GB HBM per GPU. Ideal for inference and mixed training workloads.
PCIe GPU SuperServer
Multi-GPU servers via PCIe 5.0 supporting NVIDIA L40S, A100, and AMD Instinct GPUs. Flexible for AI inference, HPC, and rendering.
2U GPU SuperServer
Compact 2U servers with 2–6 GPUs in air or direct liquid-cooled configurations. High-density inference and VDI deployments.
H15 GPU Platform (AS-5126GS-TNRT)
AMD EPYC 9006-powered GPU servers from the H15 generation. Combines 6th-gen EPYC CPU performance with multiple GPU slots for AI and HPC.
Edge AI SuperServer
Short-depth or compact systems with NVIDIA T4, L4, or RTX GPUs for edge inferencing — low power, minimal footprint, remote management.
Looking for full hardware specifications and models?
View GPU System Details on Supermicro Page →Platform Capabilities
What makes Supermicro the preferred AI infrastructure platform for hyperscalers, cloud providers, and enterprise IT teams.
GPU Interconnect
Up to 1.8TB/s bandwidth via NVLink and NVSwitch. 1:1 dedicated high-speed networking per GPU enables efficient gradient synchronisation for large training clusters.
Liquid Cooling Ready
Direct liquid cooling (DLC) options across GPU server lines sustain full TDP operation in high-density racks — essential for Blackwell-generation 1,000W+ GPUs.
Modular DCBBS Architecture
Data Centre Building Block Solutions provide validated, modular AI infrastructure. Compute, storage, and networking sub-systems that combine and scale predictably.
NVIDIA Certified Systems
Supermicro systems are validated against NVIDIA Enterprise Reference Architectures — HGX, MGX, and DGX-ready platforms tested for AI workload performance.
Turn-Key Reference Designs
Pre-validated system configurations covering training, inference, and edge AI workloads. Reduces integration complexity and accelerates time-to-production.
Multi-Architecture Flexibility
NVIDIA Blackwell and Hopper, AMD Instinct, and Intel Gaudi GPU platforms — Supermicro supports all major accelerators so workload requirements drive the choice, not vendor lock-in.
Ready to Plan Your AI Infrastructure?
Servero configures and supplies Supermicro AI systems for UK and EMEA customers — from a single inference node to a rack-scale training cluster. We hold UK stock of selected systems for rapid deployment.
Our team has over 25 years of experience in high-performance computing and enterprise server deployments. Contact us to discuss your GPU platform requirements, workload profile, and deployment timeline.
