Huawei reveals its latest Nvidia H20 killer packing a frankly ridiculous
1.56 PFLOPS of FP4 compute and up to 112GB of HBM

Date:
Sat, 28 Mar 2026 18:35:00 +0000

Description:
Huawei launches Atlas 350 with Ascend 950PR, offering high FP4 compute, improved memory performance, and competitive positioning against Nvidia H20 hardware.

FULL STORY ======================================================================Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Tech Radar Pro Are you a pro? Subscribe to our newsletter Sign up to the TechRadar Pro newsletter to get all the top news, opinion, features and guidance your business needs to succeed! Become a Member in Seconds Unlock instant access to exclusive member features. Contact me with news and offers from other Future brands Receive email from us on behalf of our trusted partners or sponsors By submitting your information you agree to the Terms & Conditions and Privacy Policy and are aged 16 or over. You are
now subscribed Your newsletter sign-up was successful Join the club Get full access to premium articles, exclusive features and a growing list of member rewards. Explore An account already exists for this email address, please log in. Subscribe to our newsletter Huawei introduces Atlas 350 with significant FP4 compute performance claims New accelerator card focuses on inference workloads and multimodal AI processing Huawei Atlas 350 delivers higher
memory capacity and improved bandwidth efficiency Huawei has officially launched the Atlas 350 accelerator card, featuring its new Ascend 950PR processor, at the Huawei China Partner Conference 2026 in Shenzhen.

The company claims this NPU delivers 1.56 PFLOPS of FP4 compute performance, which is reportedly 2.87 times higher than Nvidia s H20. While exact verification is difficult because Hopper-era GPUs do not support FP4
natively, the Atlas 350 is the first Chinese accelerator optimized for this low-precision format, allowing larger AI models to operate on the same hardware with reduced memory requirements. Article continues below You may like Huawei debuts its Atlas 950 AI SuperPoD at MWC 2026, taking the AI data center fight to Nvidia and AMD The battle of the SuperPods: Nvidia challenges Huawei with Vera Rubin powered DGX cluster that can deliver 28.8 Exaflops
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30 PFLOPs performance and half Terabyte (yes 512GB) HBM Technical upgrades
and memory performance The Ascend 950PR chip introduces improvements over the prior Ascend 910 series, including enhanced microarchitecture, faster memory access, and flexible programming modes.

Huawei equips the Atlas 350 with 112GB of proprietary HBM, known as HiBL 1.0, delivering up to 1.4TB/s bandwidth in current reports, with a 128-byte memory access granularity.

This configuration enables efficient multimodal generation and inference tasks, and reportedly quadruples memory access efficiency for small operators compared with the previous generation.

Its interconnect bandwidth also reaches 2TB/s using the LingQu protocol, 2.5 times higher than the Ascend 910 series. Are you a pro? Subscribe to our newsletter Sign up to the TechRadar Pro newsletter to get all the top news, opinion, features and guidance your business needs to succeed! Contact me
with news and offers from other Future brands Receive email from us on behalf of our trusted partners or sponsors By submitting your information you agree to the Terms & Conditions and Privacy Policy and are aged 16 or over.

Huawei markets the Atlas 350 for recommendation inference, LLM processing,
and multimodal AI workloads.

Seven key partners including Kunlun, Huakun Zhenyu, Shenzhou Kuntai, and Yangtze Computing have developed complete system products leveraging the Atlas 350.

These brands have created customized high-performance inference solutions for enterprise customers. What to read next Microsoft unveils Maia 200, its 'powerhouse' accelerator looking to unlock the power of large-scale AI
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The accelerator is designed to integrate with AI ecosystems, enabling
partners to optimize performance for specific workloads while maintaining compatibility with Huaweis AI software stack.

The Atlas 350 reflects Chinas efforts to establish self-reliance in AI
compute hardware under U.S. export restrictions.

While Huawei cannot access TSMCs CoWoS technology, the company has
implemented alternative advanced packaging solutions for HBM and memory stacking.

Huawei has not announced precise availability dates a common practice with
AI accelerators but it launched the Ascend 950PR in Q1 2026 as promised.

The Atlas 350 is reportedly priced at around 111,000 Yuan, or roughly
$16,000, comparable with Nvidia H20, which can range from $15,000 to $25,000.

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