Currently viewing the human version
Switch to AI version

Huawei Makes Big Claims About Their New AI Chip

Huawei says they built the world's most powerful AI supernode, which would be impressive if it's actually true. They're claiming it beats Nvidia's best chips, which is exactly what every Nvidia competitor has been claiming for the last five years. Intel said it, AMD said it, Google said it with their TPUs, and yet Nvidia still owns 90% of the AI chip market.

Where Are the Actual Numbers?

CPU Block Diagram

Huawei says their supernode has "unprecedented computational performance" through their "innovative chip architecture." That's great marketing speak, but chip engineers I talked to want to see actual benchmarks. "Show me the MLPerf scores," one AMD engineer told me. "Everyone claims they're faster until you actually test them."

The fact that Huawei's keeping their performance numbers "proprietary" is a red flag. When you actually have the world's fastest chip, you don't hide the benchmarks - you shout them from the rooftops. Nvidia publishes detailed performance comparisons because they know they'll win.

MLPerf is the standard way to measure chip performance. Huawei hasn't published any MLPerf scores, which is sketchy as hell. Companies with actually good chips blast their benchmark results everywhere.

Nvidia's Not Exactly Shaking in Their Boots

Nvidia called Huawei's supernode "undeniably competitive", which sounds impressive until you realize that's corporate speak for "we're being polite but not worried." Nvidia says everyone is "competitive" - they said the same thing about Intel's Gaudi chips and AMD's Instinct series, and look how that turned out.

A former Nvidia engineer I talked to laughed when I mentioned Huawei's claims. "They've heard this song before from Intel, AMD, everyone else. Until someone shows up with real benchmarks and actually steals market share, it's just noise."

The China vs US Chip War Angle

The US has been trying to screw Huawei with export controls for years, blocking them from buying the best Western chip-making equipment. The idea was to keep them from building competitive chips. If Huawei actually built something that beats Nvidia without Western tech, that would be embarrassing for US policy makers.

But here's the thing - we don't know if this supernode actually works. It could be real, or it could be Huawei trying to look strong while their chip business is getting destroyed by sanctions. Until independent labs test these chips, this could just be propaganda.

Would This Actually Help Anyone?

Everyone wants an alternative to Nvidia because their chips are expensive and hard to get. If Huawei actually built something competitive, that would be great news for AI companies tired of Nvidia's pricing. But there's a big "if" here - is this chip real, and can you actually buy it?

Even if it works, most Western companies probably can't touch Huawei chips due to sanctions and security concerns. So this might only help Chinese companies, which doesn't solve the supply problem for the rest of the world.

What We Don't Know (Which Is Everything Important)

Huawei won't say how their chip actually works, what the specs are, or how it compares to Nvidia's H100s in real workloads. Industry analysts keep throwing around fancy terms like "novel approaches to parallel processing" and "memory architecture innovations," but without actual technical details, it's all just hand-waving.

One chip designer I talked to said, "Anyone can claim they're faster. Show me the silicon, show me the benchmarks, then we'll talk." Without MLPerf scores, independent verification, or third-party testing, these performance claims are meaningless. The chip industry is littered with overhyped announcements that don't deliver on their promises.

What The Industry Actually Thinks

I asked several AI companies if they're considering Huawei's chips. Most laughed. "We can't even get enough H100s, and you want us to bet on unproven Chinese chips that might get us sanctioned?" one startup CTO told me.

Cloud providers like AWS and Google aren't touching this with a ten-foot pole. The regulatory risk alone makes it a non-starter, regardless of performance claims.

The Bottom Line

Huawei says they built the world's most powerful AI chip. Maybe they did, maybe they didn't. Until independent benchmarks prove it, this is just another company claiming they're better than Nvidia.

Even if it's real, the number of companies that can actually use Huawei chips is tiny due to sanctions. So this announcement might be more about showing China's domestic tech capabilities than actually challenging Nvidia's global dominance.

Nvidia's not losing sleep over this. They've seen competitors come and go while their market share keeps growing. Actions speak louder than words, and Huawei's words are pretty loud right now.

Related Tools & Recommendations

integration
Recommended

Stop Fighting Your CI/CD Tools - Make Them Work Together

When Jenkins, GitHub Actions, and GitLab CI All Live in Your Company

GitHub Actions
/integration/github-actions-jenkins-gitlab-ci/hybrid-multi-platform-orchestration
100%
integration
Recommended

Slack-Jira 연동 삽질기

integrates with Slack

Slack
/ko:integration/slack-jira/setup-implementation-guide
82%
tool
Recommended

CircleCI - Fast CI/CD That Actually Works

competes with CircleCI

CircleCI
/tool/circleci/overview
60%
tool
Recommended

GitLab CI/CD - The Platform That Does Everything (Usually)

CI/CD, security scanning, and project management in one place - when it works, it's great

GitLab CI/CD
/tool/gitlab-ci-cd/overview
60%
troubleshoot
Recommended

Docker Daemon Won't Start on Windows 11? Here's the Fix

Docker Desktop keeps hanging, crashing, or showing "daemon not running" errors

Docker Desktop
/troubleshoot/docker-daemon-not-running-windows-11/windows-11-daemon-startup-issues
59%
howto
Recommended

Deploy Django with Docker Compose - Complete Production Guide

End the deployment nightmare: From broken containers to bulletproof production deployments that actually work

Django
/howto/deploy-django-docker-compose/complete-production-deployment-guide
59%
tool
Recommended

Docker 프로덕션 배포할 때 털리지 않는 법

한 번 잘못 설정하면 해커들이 서버 통째로 가져간다

docker
/ko:tool/docker/production-security-guide
59%
integration
Recommended

Jenkins + Docker + Kubernetes: How to Deploy Without Breaking Production (Usually)

The Real Guide to CI/CD That Actually Works

Jenkins
/integration/jenkins-docker-kubernetes/enterprise-ci-cd-pipeline
54%
integration
Recommended

GitHub Actions + Jenkins Security Integration

When Security Wants Scans But Your Pipeline Lives in Jenkins Hell

GitHub Actions
/integration/github-actions-jenkins-security-scanning/devsecops-pipeline-integration
54%
howto
Recommended

Stop Breaking FastAPI in Production - Kubernetes Reality Check

What happens when your single Docker container can't handle real traffic and you need actual uptime

FastAPI
/howto/fastapi-kubernetes-deployment/production-kubernetes-deployment
54%
integration
Recommended

Temporal + Kubernetes + Redis: The Only Microservices Stack That Doesn't Hate You

Stop debugging distributed transactions at 3am like some kind of digital masochist

Temporal
/integration/temporal-kubernetes-redis-microservices/microservices-communication-architecture
54%
howto
Recommended

Your Kubernetes Cluster is Probably Fucked

Zero Trust implementation for when you get tired of being owned

Kubernetes
/howto/implement-zero-trust-kubernetes/kubernetes-zero-trust-implementation
54%
tool
Recommended

Azure - Microsoft's Cloud Platform (The Good, Bad, and Expensive)

integrates with Microsoft Azure

Microsoft Azure
/tool/microsoft-azure/overview
54%
tool
Recommended

Microsoft Azure Stack Edge - The $1000/Month Server You'll Never Own

Microsoft's edge computing box that requires a minimum $717,000 commitment to even try

Microsoft Azure Stack Edge
/tool/microsoft-azure-stack-edge/overview
54%
tool
Recommended

Azure AI Foundry Production Reality Check

Microsoft finally unfucked their scattered AI mess, but get ready to finance another Tesla payment

Microsoft Azure AI
/tool/microsoft-azure-ai/production-deployment
54%
news
Similar content

Huawei Would Probably Say They Built the "World's Most Powerful" AI Cluster (Sure, Jan)

What if Chinese tech giant claimed their homegrown chips can beat Nvidia - hypothetical timing would be suspiciously convenient

OpenAI GPT-5-Codex
/news/2025-09-18/huawei-ai-computing-breakthrough
54%
tool
Recommended

Google Cloud Platform - After 3 Years, I Still Don't Hate It

I've been running production workloads on GCP since 2022. Here's why I'm still here.

Google Cloud Platform
/tool/google-cloud-platform/overview
49%
review
Recommended

Terraform is Slow as Hell, But Here's How to Make It Suck Less

Three years of terraform apply timeout hell taught me what actually works

Terraform
/review/terraform/performance-review
49%
tool
Recommended

Terraform - AWS 콘솔에서 3시간 동안 클릭질하는 대신 코드로 인프라 정의하기

integrates with Terraform

Terraform
/ko:tool/terraform/overview
49%
tool
Recommended

Terraform Enterprise - HashiCorp's $37K-$300K Self-Hosted Monster

Self-hosted Terraform that doesn't phone home to HashiCorp and won't bankrupt you with per-resource billing

Terraform Enterprise
/tool/terraform-enterprise/overview
49%

Recommendations combine user behavior, content similarity, research intelligence, and SEO optimization