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AI chip · NVIDIA

NVIDIA A800

China-specific export-compliant variant of the A100 Tensor Core GPU. Cut NVLink bandwidth to fit under the Oct 2022 BIS ceiling. Superseded Oct 2023 when BIS closed that workaround.

Market position

The A100 twin NVIDIA built to keep the Chinese hyperscaler channel open under the Oct 7 2022 rule. Identical compute, throttled interconnect. Blocked Oct 17 2023.

Efficiency and power

How much work you get per watt and per dollar, and how much power a full rack draws.

Perf per watt
0.78 FP16 TFLOPS/W
312 TFLOPS ÷ 400 W = 0.78

What fits in 80 GB

Which open-source LLMs run on one NVIDIA A800, by precision. Weights only: add roughly 15% headroom for real serving. If a model does not fit at FP16, try INT8 or INT4 (smaller quality trade-off than most people expect).

ModelParamsFP16INT8INT4
Llama 3.1 8B
dense
8 B16 GB ✓8 GB ✓4 GB ✓
Llama 3.1 70B
dense
70 B140 GB ✗70 GB ✓35 GB ✓
Llama 3.1 405B
dense
405 B810 GB ✗405 GB ✗203 GB ✗
Llama 3.3 70B
dense
70 B140 GB ✗70 GB ✓35 GB ✓
DeepSeek V3
MoE (671B total, 37B active per token)
671 B1342 GB ✗671 GB ✗336 GB ✗
DeepSeek R1
MoE (671B total, 37B active per token)
671 B1342 GB ✗671 GB ✗336 GB ✗
Qwen 2.5 7B
dense
7 B14 GB ✓7 GB ✓4 GB ✓
Qwen 2.5 72B
dense
72 B144 GB ✗72 GB ✓36 GB ✓
Mixtral 8x7B
MoE (46.7B total, 12.9B active per token)
46.7 B93 GB ✗47 GB ✓23 GB ✓
Mixtral 8x22B
MoE (141B total, 39B active per token)
141 B282 GB ✗141 GB ✗71 GB ✓
Gemma 2 27B
dense
27 B54 GB ✓27 GB ✓14 GB ✓
Command R+
dense
104 B208 GB ✗104 GB ✗52 GB ✓
Kimi K2
MoE (1T total, 32B active per token)
1000 B2000 GB ✗1000 GB ✗500 GB ✗

Math: FP16 = params × 2 bytes; INT8 = params × 1 byte; INT4 = params × 0.5 bytes. MoE models sum every expert (full weights on disk), not the per-token active subset.

Export controls

US Commerce Department rules that restrict where NVIDIA A800 can be sold. Effective dates and full text below, with the official Federal Register filings and news coverage for each.

  1. The US Bureau of Industry and Security's Oct 7 2022 interim final rule restricted export of advanced AI accelerators to China, keyed to a performance threshold (>=4,800 TOPS or >=600 GB/s interconnect). Directly blocked NVIDIA A100 and H100 sales to Chinese entities without a license, triggering the A800 and H800 China-specific variants NVIDIA released within weeks.

    Sources: BIS press release, Oct 7 2022 · Federal Register, Oct 13 2022 (rule text)

  2. The Oct 17 2023 update closed the workaround NVIDIA used with A800 and H800: BIS replaced the interconnect-bandwidth threshold with a performance-density metric (total processing performance x performance density) and added a Notified Advanced Computing regime for chips that fell just below the ceiling. Direct effect: A800 and H800 could no longer be exported to China. Triggered NVIDIA's H20 as the next-generation China-specific variant.

    Sources: BIS press release, Oct 17 2023 · Federal Register, Oct 25 2023 (rule text)

Common questions

How much does NVIDIA A800 cost?

NVIDIA A800 doesn't have a public launch list price. Vendors like this one usually price through direct sales rather than a public sheet. See list price per TFLOP for chips that do publish.

How much memory does NVIDIA A800 have?

80 GB of HBM2e, running at 2,039 GB/s. Straight from the vendor datasheet. See chips with the most memory for context.

How much power does one NVIDIA A800 draw?

400 W at the chip. A full server draws more once you add CPU, memory, networking and cooling: see the rack power number above. Compare to other chips on perf-per-watt.

Which open-source LLMs fit on one NVIDIA A800?

Of 13 open-source LLMs we track, 3 fit at FP16, 7 at INT8, and 9 at INT4 (for example Llama 3.1 8B, Llama 3.1 70B and Llama 3.3 70B). Full table above with each model's memory need.

Is NVIDIA A800 subject to US export controls?

Yes. 2 US Commerce Department rules restrict where this chip can be sold, most recently BIS Oct 17 2023 tightening of AI chip export controls (2023-10-17). Details and effective dates in the export-control section above.

See every answer we publish →

Key facts

Class
Compute SoC (AI accelerator)
Designer
NVIDIA
Safety-critical?
No (data-center inference / training)
Record as of
2026-09-27
Specifications (8 fields, click to expand)

Straight from the vendor datasheet. Dense throughput shown first; sparse (2:4) numbers in parentheses where the vendor publishes them. Full datasheet linked below.

Process node
TSMC N7
TDP
400 W
Memory
80 GB HBM2e
Memory bandwidth
2,039 GB/s
FP16 (dense)
312 TFLOPS
Form factor
SXM4
Announced
2022-11-01
Released
2022-12-01

Source: vendor datasheet

Generation

Foundry & process

Process node
TSMC N7

Sources

Adoption rows appear as we confirm each chip-in-robot pairing from a public source. See every chip we track for the full catalog or the NVIDIA page.