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.
Huawei logo

Huawei Atlas 300V

Type: NPUArchitecture: Da VinciForm factor: PCIeReleased: 2022Spec confidence: Official
Memory
24 GB
LPDDR4X
Bandwidth
205 GB/s
memory
TDP
72 W

Overview

The Huawei Atlas 300V is a video analysis card built on a down-binned Ascend 310P, rated at 100 TOPS INT8 and 50 TFLOPS FP16. Those figures are five sevenths of the 140 TOPS and 70 TFLOPS that the Atlas 300I Pro and Atlas 300V Pro achieve from the same chip at the same 72 watts, the same 204.8 GB/s of LPDDR4X bandwidth and the same board size, so this is a genuine clock or core bin rather than a rounding or transcription difference. The card pairs 24 GB of LPDDR4X with an eight-core 1.9 GHz host CPU and supports ECC, and its media block handles 80 channels of 1080p30 decode, or 10 channels of 4K60, plus 24 channels of 1080p30 encode.

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
50TFLOPS
FP8
No verified data available
FP6
No verified data available
FP4
No verified data available
INT8
8-bit integer
100TOPS

The Atlas 300V 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 300V

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

Specifications

Architecture

Da Vinci

Form Factor

PCIe

Launch Year

2022

Process Node

No verified data available

Memory

24 GB LPDDR4X

Bandwidth

204.8 GB/s

TDP

72 W

Max power (Flopper estimate)

~83 W est. Flopper estimate: 72 W TDP x 1.15. The vendor publishes no maximum board power for this part.

Spec Confidence

Official

Full Specifications

Chip Design
Chiplets 1
Memory
Memory 24 GB
Memory Type LPDDR4X
Bandwidth 205 GB/s
Interface Width No verified data available
Interconnect & I/O
PCIe 4.0 x16
Power & Thermal
TDP 72 W
Max power (Flopper estimate) ~83 W est.
Enterprise Features
ECC Memory Yes
Compute APIs CANN, MindSpore, MindX, PyTorch (torch_npu), ACL
Physical & Media
Card Length 169.5 mm
General
Form Factor PCIe
Architecture Da Vinci
Process Node No verified data available
Launch Year 2022

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

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

Browse GPU Cloud Providers

Similar GPUs

Huawei Ascend 910A

OAM · 2019
FP32: 16 TFLOPS
Compare vs Ascend 910A

Huawei Atlas 300I Duo 48GB

PCIe · 2022
FP32: No verified data available
Compare vs Atlas 300I Duo

Huawei Atlas 300I Duo 96GB

PCIe · 2022
FP32: No verified data available
Compare vs Atlas 300I Duo

Huawei Atlas 300V Pro

PCIe · 2022
FP32: No verified data available
Compare vs Atlas 300V Pro

Huawei Atlas 300I Pro

PCIe · 2021
FP32: No verified data available
Compare vs Atlas 300I Pro

Frequently Asked Questions

How many TFLOPS does the Huawei Atlas 300V have?

The Huawei Atlas 300V delivers 50 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 300V?

The Huawei Atlas 300V has a TDP (Thermal Design Power) rating of 72 watts.

How much memory does the Huawei Atlas 300V have?

The Huawei Atlas 300V is equipped with 24 GB of memory with 204.8 GB/s of memory bandwidth.

What architecture is the Huawei Atlas 300V based on?

The Huawei Atlas 300V is based on the Da Vinci 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