NVIDIA DGX H100
Eight H100 SXM5 GPUs and 640GB HBM3 — the Hopper-generation DGX workhorse.
We help you choose, configure, and deliver the right system — no obligation.
Configuration at a Glance
Tailored per engagement. Full technical overview below.
Configuration Options
Core specifications for this system. Every component is configurable to your workload — request a quote for a tailored build.
8× NVIDIA H100 80GB SXM5
Dual Intel Xeon Platinum 8480C
640GB HBM3 total
NVMe (capacity configurable; confirmed at quote)
Overview
DGX H100 is the Hopper-generation NVIDIA system that a large share of production AI infrastructure was built on: eight H100 SXM5 GPUs, 640GB of HBM3, NVSwitch between them, and eight ConnectX-7 adapters for the cluster fabric. It remains a rational purchase for teams extending an existing DGX estate, where matching what you already run matters more than the newest silicon. Supplied configured, with the fabric and storage quoted alongside.
Who This Solution Is For
Business Benefits
Matches an existing estate
Mixing GPU generations inside one training job is awkward; adding the same node avoids it.
Proven platform
A large share of production AI infrastructure runs on this generation, with mature tooling around it.
Cluster-ready networking
Eight ConnectX-7 adapters per node for rail-optimised InfiniBand fabric.
Full NVIDIA support
Enterprise support across the hardware and the DGX software stack.
Typical Business Use Cases
Large language model training at cluster scale
Production inference on established Hopper workloads
Adding capacity to an existing DGX H100 deployment
SuperPOD-architecture scale units
Industry Applications
Technical Overview
An 8U system with eight H100 80GB SXM5 GPUs on an NVLink baseboard with NVSwitch, dual Intel Xeon Platinum 8480C processors, 2TB DDR5, NVMe storage, and eight ConnectX-7 400Gb/s adapters plus BlueField-3 DPUs. Storage capacity is configurable and confirmed at quotation.
| GPU / Accelerator | 8× NVIDIA H100 80GB SXM5 |
| GPU Memory | 640GB HBM3 total |
| GPU Interconnect | NVLink with NVSwitch, 900GB/s GPU-to-GPU |
| CPU | Dual Intel Xeon Platinum 8480C |
| System Memory | 2TB DDR5 |
| Storage | NVMe (capacity configurable; confirmed at quote) |
| Networking | 8× ConnectX-7 400Gb/s InfiniBand; 2× BlueField-3 DPU |
| Form Factor | 8U rackmount |
Specifications are indicative and configured to each engagement. Request a quote for a configuration tailored to your requirements.
Warranty, Support & Fulfillment
Every system ships from an authorized channel, configured and tested, with the documentation enterprise buyers need — backed by warranty and a dedicated account team.
Enterprise Warranty
Full manufacturer warranty with optional on-site, next-business-day support and extended coverage.
Authorized Channel
Sourced through Tier-1 distribution and OEM partners — never grey market. Asset & warranty records included.
Lead Time & Deployment
48-hour quotes, then configured, burn-in tested, and delivered on a committed schedule.
Nationwide Fulfillment
Coordinated logistics, rack-and-stack, and delivery wherever your infrastructure lives.
Frequently Asked Questions
Is it still sensible to buy DGX H100 rather than Blackwell?
If you are adding to an existing H100 cluster, frequently yes — matching the nodes you already run avoids the awkwardness of mixing generations inside one training job, and the tooling around this platform is mature. If you are starting fresh and the workload is memory-bound, look at DGX H200 or B200 instead. We will say which applies to your case rather than defaulting to the newest part.
How is DGX quoted and delivered?
As a configured system rather than a boxed part. We confirm the exact platform revision, the networking and storage around it, rack power and cooling requirements, and the support term, then issue an itemised quote. Current availability and lead time are stated on that quote — accelerator allocation moves, and any figure published on a web page would be wrong for most buyers by the time they read it.
Should I buy DGX or an HGX system from Dell, Supermicro or HPE?
The GPUs and the NVLink fabric are the same silicon either way. DGX gives you one vendor accountable for the whole stack including the software environment, and is the designed unit if you are heading toward SuperPOD. An HGX system from a server vendor gives you your existing management tooling, support relationship and configuration choices. If your operations are already standardised on Dell or HPE, that consistency is frequently worth more than it looks on a spreadsheet. We supply both and will tell you which fits.
Can you supply the networking and storage as well?
Yes, and these should be quoted together. A DGX node without its InfiniBand fabric, parallel storage and rack power is not a working cluster. We specify the switches, cables, optics and layout alongside the systems.
Hardware Assistance
Configure the NVIDIA DGX H100 with Nexus Compute
Tell us your requirements and a hardware specialist will help you specify, configure, and quote the right system — typically within two business days. No obligation.