NVIDIA A800 80GB PCIe Data Center GPU

It is NVIDIA's export-compliant version of the A100, in the 80GB PCIe server form. It uses the same Ampere data center silicon and 80GB of HBM2 memory, built for markets, principally China, where the full A100's interconnect bandwidth exceeds US export thresholds. NVIDIA reduced the NVLink bandwidth by about 33% to meet those rules, which is the one substantive difference from the A100. In compute and memory, it is A100-class.

Two ways. Memory: this variant has 80GB of HBM2, double the 40GB Active card. Form and cooling: this is a passive, full-height PCIe server card built to stack up to 8 GPUs per system on server airflow, while the 40GB Active is an active-cooled card for workstations and development. This is the data center, multi-GPU-server A800; the 40GB Active is the workstation A800. Choose by deployment, dense AI/CGI servers here, single workstations there.

They share the Ampere architecture, silicon, 80GB of HBM2, and FP64 capability. The single difference is NVLink interconnect bandwidth, reduced about 33% on the A800 for export compliance. The practical effect appears in large-scale distributed training across many GPUs, where the A800 scales less efficiently. For single-node training, fine-tuning, inference, HPC, and CGI, the two perform in the same class. The live page's "hardly noticeable" holds for most workloads, but not for the largest multi-GPU training.

Up to 8 GPUs per system, which is what the passive PCIe server form is built for. That makes this variant suited to dense, multi-GPU AI and CGI servers. For the multi-GPU configuration, server platform, and the interconnect considerations at that scale, MillionMiner advises in the quote, including whether the reduced NVLink bandwidth affects your specific multi-GPU workload.

Yes. Unlike the workstation and display cards in this catalog, the A800 is a genuine Ampere data center accelerator. It trains and fine-tunes models, serves inference, runs HPC, and handles high-end CGI and rendering, with the Ampere line's FP64 double precision for scientific computing. It is the export-compliant path to A100-class compute in a dense server form.

In large-scale distributed training across many GPUs, where the speed of cross-GPU communication determines how well the job scales. There, the A800's ~33% reduced NVLink bandwidth is a real limitation versus a true A100, and it is most relevant precisely because this variant is built to stack 8 per system. For single-node work, fine-tuning, inference, HPC, and CGI, it does not meaningfully bind. The honest question is whether your training is communication-bound at scale.

Ampere architecture, 80GB of HBM2 memory, NVLink reduced about 33% versus the A100, and a passive PCIe form built to stack up to 8 GPUs per system, targeting high-end AI and CGI. MillionMiner confirms the exact card, CUDA core count, memory bandwidth, FP32/FP64 throughput, power, and full performance specs in the quote.

The A800 is itself an export-compliance product, and A100-class accelerators are subject to US export controls that depend on destination. When you buy from MillionMiner, the team 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 Ampere-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, AI training, fine-tuning, inference, HPC, or CGI, and GPU count through the quote form. A MillionMiner specialist confirms the card, its configuration and condition, the multi-GPU server setup, destination eligibility under the export rules for A100-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 this 80GB PCIe variant, the 40GB Active, a full A100, or a Hopper path best fits your deployment.