GPU Servers & Clusters
Enterprise GPU infrastructure,
designed as a system.
From a single rackmount GPU server to a multi-node training cluster or complete private AI platform, we design the compute, fabric, and storage together — and coordinate sourcing as one engagement.
GPU Server & Cluster Solutions
Rackmount GPU servers, the latest data-center GPUs, and complete training, inference, and private AI infrastructure — each scoped to your workload, scale, and facility.
4 GPU AI Server
An entry-point rackmount AI server for teams moving beyond the workstation.
- Shared, always-on compute
- Configured to your workload
- Manageable and remote
8 GPU AI Server
High-density GPU compute for serious training and production inference workloads.
- Train and serve at scale
- High-bandwidth interconnect
- Production-grade infrastructure
RTX 5090 GPU Server
Cost-effective rackmount GPU density for inference and development workloads.
- More GPUs per dollar
- Rack-grade reliability
- Ideal for inference and dev
H100 GPU Server
The proven data-center standard for large-scale AI training and inference.
- Proven at enterprise scale
- High memory bandwidth
- Partitionable with MIG
H200 GPU Server
Expanded memory and bandwidth for the largest models and most demanding workloads.
- Run larger models per node
- Higher inference throughput
- Fewer nodes, less fabric
B200 GPU Server
Next-generation Blackwell compute for organizations planning their next AI build-out.
- Latest-generation performance
- Future-proof investment
- Roadmap-aligned planning
AI Training Cluster
A multi-node GPU cluster engineered for training models from scratch.
- Designed as a system
- Scales with your ambition
- One accountable supplier
AI Inference Cluster
High-availability infrastructure for serving AI models to production at scale.
- Built for availability
- Optimized for latency
- Efficient cost-per-request
Private AI Infrastructure
A complete, owned AI platform — designed, sourced, and delivered as one engagement.
- Complete ownership and control
- Data sovereignty by design
- One coordinated engagement
NVIDIA DGX B200
Eight Blackwell GPUs and 1,440GB of HBM3e in NVIDIA’s unified training and inference platform.
- One accountable vendor
- Blackwell generation
- A designed scaling path
NVIDIA DGX H200
Eight H200 GPUs with 1,128GB of HBM3e — the memory-heavy Hopper DGX.
- More memory per GPU
- Same operational model
- Fewer nodes for inference
NVIDIA DGX H100
Eight H100 SXM5 GPUs and 640GB HBM3 — the Hopper-generation DGX workhorse.
- Matches an existing estate
- Proven platform
- Cluster-ready networking
NVIDIA DGX A100 640GB
Eight A100 80GB GPUs with 640GB HBM2e and MIG partitioning across the node.
- MIG partitioning
- Matches an installed base
- Multi-tenant by design
NVIDIA DGX A100 320GB
Eight A100 40GB GPUs — the lower-memory DGX A100 configuration.
- Lower entry point
- MIG partitioning retained
- Matches an installed base
NVIDIA DGX Station A100
Four A100 GPUs, desk-side and refrigerant-cooled — a data-center-class node without the data center.
- No data center required
- NVLink at the desk
- MIG for shared use
NVIDIA DGX GB200 NVL72
Seventy-two Blackwell GPUs and thirty-six Grace CPUs as one liquid-cooled NVLink domain.
- One NVLink domain
- Rack-scale density
- Delivered as a unit
NVIDIA DGX SuperPOD
A reference architecture for multi-node DGX clusters — fabric, storage and management designed together.
- Designed as one system
- A validated architecture
- Scales predictably
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
Dell PowerEdge XE9680 8x H100 SXM5
Dell-engineered 8-GPU HGX platform with enterprise serviceability built in.
- Fits Dell-standard ops
- Enterprise serviceability
- Authorized sourcing
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
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
Dell PowerEdge R760xa 4x H100 NVL PCIe (2U)
Dense 2U four-GPU H100 server for space-conscious enterprise deployments.
- High density per U
- Enterprise management
- Authorized provenance
HGX H100 8x SXM5 Rail-Optimized InfiniBand Training Node
Cluster-ready 8-GPU H100 node with eight NDR400 InfiniBand rails.
- Linear scale-out
- Fabric-tuned on delivery
- Cluster-ready building block
Dell PowerEdge XE9680 — 8x NVIDIA H200 SXM (HGX, 141GB HBM3e)
Dell's flagship 8-GPU HGX H200 node for frontier-scale AI training.
- Frontier-scale single node
- Vendor-backed reliability
- Cluster-ready fabric
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
HPE Cray XD670 — 8x H200 SXM, Direct Liquid Cooled
Liquid-cooled 5U HGX H200 node engineered for dense, efficient training rows.
- Higher density per rack
- Improved power efficiency
- Supercomputing fabric
Lenovo ThinkSystem SR685a V3 — 8x H200 SXM, AMD EPYC 9005
AMD EPYC Turin paired with 8x H200 for high-throughput generative AI.
- Massive CPU headroom
- Generative AI throughput
- Lenovo serviceability
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
Dell PowerEdge XE7745 — 4x H200 NVL PCIe Inference Node
Dell-supported 4x H200 NVL node tuned for enterprise inference deployment.
- Enterprise-managed inference
- Pooled high-memory serving
- Flexible deployment
Nexus Compute HGX B200 8-GPU 4U Liquid-Cooled Training Node
Eight liquid-cooled Blackwell GPUs in 4U for frontier-scale model training.
- Maximum density per rack
- Lower cooling overhead
- Tested before delivery
Nexus Compute HGX B200 8-GPU 10U Air-Cooled Server
Drop-in Blackwell training and inference with no liquid loop required.
- No liquid retrofit
- Faster time to deploy
- Configured and warranty-backed
Nexus Compute GB200 NVL72 Grace-Blackwell Rack
A liquid-cooled rack as one GPU for trillion-parameter training and inference.
- Rack acts as one GPU
- Real-time giant-model inference
- Delivered as a system
Nexus Compute GB200 NVL2 MGX Single-Node Inference Server
Grace-Blackwell coherent memory in one node for mainstream LLM inference.
- Right-sized Grace-Blackwell
- Large coherent memory
- Integrates into your DC
Nexus Compute HGX B200 8-GPU EPYC Inference Server
EPYC-driven Blackwell density for high-throughput, low-latency model serving.
- High serving throughput
- Efficient cost-per-request
- EPYC I/O headroom
Nexus Compute GB200 NVL72 SuperPOD-Ready Scale Unit
Multi-rack Grace-Blackwell AI factory wired for non-blocking scale-out.
- Scale beyond one rack
- Engineered as one factory
- One accountable supplier
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
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
Dell PowerEdge R760xa 4x NVIDIA L40S Enterprise Inference Server
Enterprise-managed 2U inference on four L40S GPUs with iDRAC.
- Fits enterprise operations
- Dense compute in 2U
- Authorized provenance
Nexus Compute L4 24-GPU Scale-Out Inference & Video Server
Twenty-four 72W L4 GPUs for power-efficient inference at scale.
- Best inference per watt
- Massive request parallelism
- Deploys anywhere
Nexus Compute 2x NVIDIA L40S 2U Compact Fine-Tuning Server
Two L40S GPUs in a compact single-socket 2U for teams starting on-prem.
- Right-sized entry point
- Space and power efficient
- A clear scaling path
Nexus HGX A100 8x SXM4 80GB Training Node
Eight NVSwitch-linked A100 80GB GPUs for full-scale model training.
- Full all-to-all bandwidth
- Burned-in and validated
- Proven training platform
Nexus A100 PCIe 80GB 4-GPU NVLink Server
Four NVLink-bridged A100 80GB cards for fine-tuning without datacenter density.
- 80GB memory per GPU
- Standard-rack friendly
- Paired NVLink bandwidth
Nexus A100 PCIe 40GB 8-GPU MIG Inference Server
Eight A100 40GB GPUs partitioned with MIG for dense multi-tenant inference.
- Up to 56 isolated instances
- High utilization economics
- Predictable tenant isolation
Nexus A100 SXM4 40GB 4-GPU HPC Node
Compact four-way SXM4 A100 node for tightly-coupled HPC and simulation.
- Low-latency collectives
- Dense compute, smaller footprint
- Double-precision strength
Nexus HGX A100 8x SXM4 80GB Liquid-Cooled Node
Liquid-cooled eight-way HGX A100 80GB for sustained high-density training.
- Sustained peak performance
- Higher rack density
- Improved power efficiency
Dell PowerEdge XE9680 — 8x AMD Instinct MI300X (192GB HBM3)
Flagship air-cooled MI300X platform with 1.5TB of coherent HBM3 per node.
- Massive memory per node
- Air-cooled serviceability
- Tier-1 OEM assurance
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
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
Lenovo ThinkSystem SR685a V3 — 8x MI300X for Large-Memory Inference
192GB-per-GPU inference node tuned for high-throughput ROCm serving.
- Capacity-led inference
- Tuned serving stack
- Lenovo platform support
Nexus MI300X Training Pod — Multi-Node Cluster (8-Rail 400G Fabric)
Rack-scale MI300X cluster engineered for distributed model training.
- Designed as one system
- Scales by adding nodes
- Single accountable supplier
Nexus H100 16-GPU NDR InfiniBand Cluster (2× HGX H100 Nodes)
Two tightly-coupled H100 nodes — the right first step into multi-node training.
- Real distributed training
- Delivered fully tested
- Clean path to a pod
Nexus H200 32-GPU Training Cluster (4× Dell PowerEdge XE9680)
141GB-per-GPU H200 nodes for training the largest models on fewer machines.
- More model per node
- Enterprise-platform reliability
- Integrated and accepted
Nexus H100 64-GPU SuperPOD-Class Cluster (8× HGX H100 Nodes)
Rail-optimized 64-GPU H100 fabric engineered for serious foundation-model runs.
- Predictable scaling efficiency
- Single accountable supplier
- Owned-economics at scale
Nexus H200 128-GPU SuperPOD (16× HGX H200 Nodes)
A full-scale 128-GPU H200 pod for frontier training and large-scale HPC.
- Reference-architecture certainty
- Frontier capacity, one machine
- End-to-end accountability
Nexus H100 256-GPU Liquid-Cooled SuperCluster (32× 4U HGX Nodes)
256 liquid-cooled H100s in five racks — maximum density, lower power draw.
- Density without the heat ceiling
- Lower operating power
- Plug-and-play delivery
Nexus GB200 NVL72 Blackwell Rack-Scale Cluster
72 Blackwell GPUs as one giant GPU — exascale-class AI in a single rack.
- One rack, one giant GPU
- Real-time at trillion scale
- Roadmap-aligned sourcing
Nexus H200 32-GPU Inference Cluster with Parallel Storage
Low-latency 32-GPU H200 serving with a GPUDirect parallel storage backbone.
- Built for low latency
- Storage that keeps GPUs busy
- Highly available serving
Browse by GPU platform
Each platform page lists the systems we configure, the trade-offs worth settling before you buy, and the questions we need answered to quote accurately.
NVIDIA H100 servers
8x SXM5 HGX platforms and 4x H100 NVL PCIe nodes.
NVIDIA H200 servers
141GB HBM3e per GPU — fewer nodes for the same inference throughput.
B200 & GB200 Blackwell
HGX B200 nodes and GB200 NVL72 rack-scale systems.
NVIDIA A100 servers
Estate extension and MIG-partitioned inference.
Dell PowerEdge XE9680
8-GPU HGX inside a Dell-managed operational model.
Supermicro GPU servers
The widest configuration range, air and liquid-cooled.
NVIDIA DGX systems
DGX B200, H200, H100, A100, Station and GB200 NVL72.
DGX vs HGX
Same GPUs, same fabric — what actually differs, and which to buy.
AI server pricing
The six line items that decide what a build costs.
Begin Your Engagement
Your infrastructure
requirements.
Our network.
Submit your hardware requirements and receive a detailed, itemized quote from a dedicated account manager within 48 hours. No general inquiry forms — a real hardware specialist reviews every submission.
Every engagement includes
48-Hour Quote Commitment
Every submitted RFQ receives a detailed, itemized hardware quote within two business days — or we will tell you exactly why we cannot and what the timeline is.
Dedicated Account Manager
A single named point of contact handles your order from first quote through delivery and warranty support. No ticket queues. No shared inboxes.
Compliance Documentation
Chain-of-custody records, warranty registration, export compliance, and the documentation your own compliance process requires — included on every enterprise engagement.
Net-30 / Net-60 Terms
Enterprise payment terms available for qualified organizations. Academic purchase orders and government procurement processes fully supported.