Sold and deployed almost entirely inside mainland China. Huawei is on the US Entity List and Ascend silicon is export-controlled wherever it is located, so it cannot be rented from any provider on this site.
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Huawei Atlas 200I A2 20 TOPS

Type: NPUArchitecture: Da VinciForm factor: ModuleReleased: 2023Spec confidence: Official
Memory
12 GB
LPDDR4X
Bandwidth
51 GB/s
memory
TDP
25 W

Overview

The Huawei Atlas 200I A2 is an edge acceleration module built on the Ascend 310B, measuring just 82 by 60 by 7 millimetres and intended to be soldered down into a customer board. This is the higher of the two bins Huawei publishes, rated at 20 TOPS INT8 and 10 TFLOPS FP16 within 25 watts. Those figures reconcile almost exactly with Huawei's own hardware documentation: a single Da Vinci V300 AI core running at 1.224 GHz across 4,096 FP16 MACs gives 10.02 TFLOPS, and the same core across 8,192 INT8 MACs gives 20.05 TOPS, a 0.3 percent agreement between a 2019 conference deck and a 2023 driver guide. The module pairs the AI core with four TaiShan V200M CPU cores at 1.6 GHz and offers LPDDR4X in 12, 8 or 4 GB configurations at 51.2, 34.1 and 34.1 GB/s respectively; note that the bandwidth ladder is not monotonic in Huawei's own table, with 8 GB and 4 GB sharing a figure. Media support is 40 channels of 1080p30 decode.

Performance

Peak theoretical throughput by precision type

PrecisionPeak
FP64
No verified data available
FP32
No verified data available
TF32
No verified data available
BF16
No verified data available
FP16
16-bit floating point
10TFLOPS
FP8
No verified data available
FP6
No verified data available
FP4
No verified data available
INT8
8-bit integer
20TOPS

The Atlas 200I A2 20 TOPS 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 MI355XAtlas 200I A2 20 TOPS

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

Specifications

Architecture

Da Vinci

Form Factor

Module

Launch Year

2023

Process Node

No verified data available

Memory

12 GB LPDDR4X

Bandwidth

51.2 GB/s

TDP

25 W

Max power (Flopper estimate)

~29 W est. Flopper estimate: 25 W TDP x 1.15. The vendor publishes no maximum board power for this part.

Da Vinci AI Core

1

Spec Confidence

Official

Full Specifications

Compute Engine
Da Vinci AI Core 1
Boost Clock 1.22 GHz
Memory
Memory 12 GB
Memory Type LPDDR4X
Bandwidth 51 GB/s
Interface Width No verified data available
Power & Thermal
TDP 25 W
Max power (Flopper estimate) ~29 W est.
Enterprise Features
Compute APIs CANN, MindSpore, MindX, ACL
Physical & Media
Card Length 82 mm
General
Form Factor Module
Architecture Da Vinci
Process Node No verified data available
Launch Year 2023

Datasheet & Resources

Data Provenance

Every figure traced to a source

Primary Source

Publisher
Huawei
Published
No verified data available

Data Quality

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

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Frequently Asked Questions

How many TFLOPS does the Huawei Atlas 200I A2 have?

The Huawei Atlas 200I A2 delivers 10 TFLOPS FP16 at peak. Flopper does not currently have verified FP32 and FP8 throughput figures for it.

What is the power consumption of the Huawei Atlas 200I A2?

The Huawei Atlas 200I A2 has a TDP (Thermal Design Power) rating of 25 watts.

How much memory does the Huawei Atlas 200I A2 have?

The Huawei Atlas 200I A2 is equipped with 12 GB of memory with 51.2 GB/s of memory bandwidth.

What architecture is the Huawei Atlas 200I A2 based on?

The Huawei Atlas 200I A2 is based on the Da Vinci architecture, launched in 2023.

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