NVIDIA published an A800 datasheet in October 2022 for the Chinese market only, document 2494651, and never gave the part a page on nvidia.com, so every English-language address for it returns 404. That datasheet covers both form factors in one table and is the source of nearly every figure here. Core counts are the exception: neither NVIDIA nor Lenovo publishes a correct one, so the 6,912 CUDA cores, 108 SMs and 432 Tensor Cores shown are the A100 80GB SXM configuration, which this part shares. Lenovo's product guide prints 8,192 cores and 512 Tensor Cores, which are the full GA100 die rather than the shipping chip and do not agree with the 19.5 TFLOPS of FP32 in the same table. Power is shown as 400 W, NVIDIA's standard configuration; the HGX A800-80GB custom thermal solution SKU is rated up to 500 W and is recorded as the maximum. Sales into the market this part was built for ended with the United States export rules of October 2023, and Lenovo lists its guide as a withdrawn product, so it is marked end of sale rather than available.

NVIDIA A800 SXM4

Architecture: AmpereReleased: 2022Process: 7nmStatus: End of saleSpec confidence: Official
FP32
20
TFLOPS
Memory
80 GB
HBM2e
Bandwidth
2.0 TB/s
memory
TDP
400 W
48.8 FP32 dense TFLOPS/kW of TDP

Overview

The NVIDIA A800 SXM4 is the mezzanine form of the A800, the export-compliance version of the A100 that NVIDIA sold into China, Hong Kong and Macau from late 2022. It is the same GA100 silicon in the same configuration as an A100 80GB SXM, and the compute figures are identical to the decimal place: 9.7 TFLOPS of FP64, 19.5 of FP32, 156 of TF32 and 312 of FP16 and BF16, with 80 GB of HBM2e at 2,039 GB/s and a 400 W board power. One thing changes, and it is the thing the export rules of the day measured. NVLink runs at 400 GB/s per GPU rather than the A100's 600 GB/s, which slows the all-to-all traffic that large-model training depends on while leaving single-GPU throughput untouched. That makes the A800 an unusually clean illustration of what an interconnect ceiling costs: identical silicon, identical arithmetic, a third less bandwidth between chips. Eight of these modules sit on an HGX A800 baseboard, where NVSwitch gives any pair of GPUs a direct 400 GB/s path, which is how they reach the market in machines such as Inspur's NF5688M6. The part had a short life. The United States tightened the rules again in October 2023, adding the A800 itself to the controlled list, and OEM product guides for it are published today as withdrawn.

Performance

Peak theoretical throughput by precision type

PrecisionDense2:4 Sparse
FP64
64-bit floating point
9.7TFLOPS Structured sparsity is a tensor-core feature; this vector precision has no sparse form
FP32
32-bit floating point
20TFLOPS Structured sparsity is a tensor-core feature; this vector precision has no sparse form
TF32
TensorFloat-32
156TFLOPS 312TFLOPS
BF16
Brain Float 16
312TFLOPS 624TFLOPS
FP16
16-bit floating point
312TFLOPS 624TFLOPS
FP8
No verified data available The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision
FP6
No verified data available The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision
FP4
No verified data available The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision
INT8
8-bit integer
624TOPS 1,248TOPS
INT4
4-bit integer
1,248TOPS 2,496TOPS

The A800 SXM4 in the GPU landscape

Peak FP16 TFLOPS (dense) against TDP, single-GPU parts tracked by Flopper

06001,2001,8002,4003,0000 W250 W500 W750 W1000 W1250 W1500 WInstinct MI355XA800 SXM4

Higher and further left is better: more half-precision throughput for less power.

Specifications

Architecture

Ampere

Form Factor

SXM

Launch Year

2022

Process Node

7nm

Memory

80 GB HBM2e

Bandwidth

2,039 GB/s

TDP

400 W

Max power

500 W

Interconnect

400 GB/s NVLink

bidirectional, per GPU

CUDA Cores

6,912

Spec Confidence

Official

Full Specifications

Compute Engine
CUDA Cores 6,912
Tensor Cores 432 (3rd Gen)
Streaming Multiprocessors 108
Memory
Memory 80 GB
Memory Type HBM2e
Bandwidth 2.0 TB/s
Interface Width No verified data available
Interconnect & I/O
GPU-to-GPU NVLink
Interconnect Bandwidth 400 GB/s bidirectional, per GPU
PCIe Gen4 x16
Power & Thermal
TDP 400 W
Max power 500 W
Enterprise Features
ECC Memory Yes
MIG Support Up to 7 MIGs @ 10GB
Sparsity Yes
Compute APIs CUDA, DirectCompute, OpenCL, OpenACC
General
Form Factor SXM
Architecture Ampere
Process Node 7nm
Launch Year 2022

Datasheet & Resources

Data Provenance

Every figure traced to a source

Primary Source

Publisher
NVIDIA
Published
2022-10-01

Data Quality

Spec confidence
Official
Clock basis
Boost
Core precisions with figures
6 of 9
Normalization
All values in TFLOPS

Compare cloud providers offering on-demand GPU instances for AI training, inference, and HPC workloads.

Browse GPU Cloud Providers

Similar GPUs

NVIDIA A100 SXM4 80GB

SXM · 2020
FP32: 20 TFLOPS
Compare vs A100

NVIDIA A100 PCIe 40GB

PCIe · 2020
FP32: 20 TFLOPS
Compare vs A100

NVIDIA A100 PCIe 80GB

PCIe · 2021
FP32: 20 TFLOPS
Compare vs A100

NVIDIA A100 SXM4 40GB

SXM · 2020
FP32: 20 TFLOPS
Compare vs A100

NVIDIA A800 PCIe 80GB

PCIe · 2022
FP32: 20 TFLOPS
Compare vs A800

Systems Using This GPU

Pre-configured systems featuring the NVIDIA A800

SystemGPU CountPeak PerformanceTotal Power
Inspur NF5688M6
NF · rack · 2021
8x A800 No verified data available No verified data available View System

Frequently Asked Questions

How many TFLOPS does the NVIDIA A800 have?

The NVIDIA A800 delivers 20 TFLOPS FP32 and 312 TFLOPS FP16 at peak. Flopper does not currently have a verified FP8 throughput figure for it.

What is the power consumption of the NVIDIA A800?

The NVIDIA A800 has a TDP (Thermal Design Power) rating of 400 watts.

How much memory does the NVIDIA A800 have?

The NVIDIA A800 is equipped with 80 GB of memory with 2,039 GB/s of memory bandwidth.

What architecture is the NVIDIA A800 based on?

The NVIDIA A800 is based on the Ampere architecture, launched in 2022.

Stay Updated on GPU Releases

Get notified when new GPUs are added or specifications are updated.

Loading verification...

No spam, unsubscribe anytime.

Back to GPUs

© 2026 Flopper.io - Compare the hardware powering AI