NVIDIA H800 80GB Hopper AI GPU

It is NVIDIA's export-compliant version of the H100. It uses the same GH100 Hopper silicon and 80GB of high-bandwidth memory, built for markets, principally China, where the full H100's interconnect bandwidth exceeds US export thresholds. NVIDIA reduced the chip-to-chip bandwidth to meet those rules, which is the one substantive difference from the H100. In compute and memory, it is H100-class.

They share the Hopper architecture, GH100 die, 80GB of memory, and FP8 acceleration. The single difference is interconnect bandwidth, the speed at which GPUs communicate, which NVIDIA reduced on the H800 for export compliance. The practical effect appears in large-scale distributed training across many GPUs, where the H800 scales less efficiently. For single-node training, fine-tuning, smaller clusters, and inference, the two perform in the same class. Your workload's sensitivity to multi-GPU interconnect decides whether the difference matters.

Yes. Unlike the workstation and display cards in this catalog, the H800 is a genuine Hopper data center accelerator built for AI. It trains and fine-tunes models and serves inference at scale, with the Hopper generation's FP8 precision and Transformer Engine. It is a capable training and inference GPU for the large majority of workloads, the export-compliant path to Hopper-class compute.

In large-scale distributed training, where a model is trained across many GPUs and the speed of cross-GPU communication determines how well the job scales. There, the H800's reduced interconnect bandwidth is a real limitation versus a true H100. It does not meaningfully affect single-GPU or single-node work, fine-tuning, modest clusters, or inference, where interconnect is not the bottleneck. The honest question is whether your training is communication-bound at scale, and MillionMiner will work through it with you.

Hopper architecture on the GH100 die, 4nm process, roughly 80 billion transistors, 80GB of high-bandwidth memory, PCIe 5.0 x16 host interface, with FP8 and the Transformer Engine. The interconnect bandwidth is export-reduced relative to the H100. MillionMiner confirms the exact card, form factor, and full performance specs for the unit in the quote.

The listing references a five-year NVIDIA AI Enterprise software entitlement, which provides the frameworks, tools, and support to develop and deploy AI on the card. MillionMiner confirms the exact software entitlement included with your unit in the quote, since these terms should be verified rather than assumed.

Yes. The catalog carries the Supermicro SYS-821GE-TNHR built around H800 GPUs as a complete server, integrated, tested, and warrantied. If you want a turnkey H800 machine rather than the bare GPUs to integrate yourself, that system is the path, and MillionMiner can quote either depending on whether you are building or buying complete.

The H800 is itself an export-compliance product, and Hopper-class accelerators are subject to US export controls that depend on destination. MillionMiner confirms destination eligibility, sourcing, and the compliance position for your deployment before sale. This is regulated hardware, so the configuration and compliance details are established in the quote rather than assumed.

Confirmed for the specific unit in the quote. As Hopper-class hardware in a regulated channel, condition and provenance matter, and MillionMiner verifies each card before shipment and states its condition clearly. The physical configuration is confirmed before sale.

Submit your workload, training, fine-tuning, or inference, and scale through the quote form. A MillionMiner specialist confirms the card, its configuration and condition, the software entitlement, destination eligibility under the export rules for Hopper-class accelerators, and delivery. Every unit is verified before shipment and shipped worldwide DDP with duties handled, with hosting available, and the specialist will tell you honestly whether the H800, a full H100, or an H200 path best fits your workload.