Huawei builds Atlas 950 SuperCluster with more than 500,000 Ascend chips

2025/09/19 03:25

Huawei Technologies launched its Atlas 950 SuperCluster, an AI system that uses more than 500,000 of its Ascend chips to compete with U.S. chipmaker Nvidia.

China is boosting its AI chip industry and limiting the use of Nvidia products. Huawei’s SuperCluster and SuperPod link thousands of Ascend chips to deliver fast, powerful AI computing, making up for each chip’s lower power.

Huawei connects supernodes and SuperPods to increase power

Huawei connected several SuperPods to build its SuperCluster. Every SuperPod holds multiple supernodes, each connecting thousands of Ascend AI chips that handle large amounts of computing quickly and efficiently. 

The company wants to deploy the Atlas 950 supernode in 2026, and each unit will support 8,192 chips. It will then release the next-generation Atlas 960 supernode in 2027, holding 15,488 chips.

When Huawei connects all the supernodes into SuperPods and then into a full SuperCluster, the Atlas 950 SuperCluster will use more than 500,000 chips, and the Atlas 960 SuperCluster could use over one million chips. The company wants to make up for the fact that each Ascend chip is not as strong as the top chips made by Nvidia or other competitors.

Huawei says its Atlas 950 SuperCluster will have 6.7 times more computing power than Nvidia’s NVL144 system and be 1.3 times more powerful than Elon Musk’s xAI Colossus supercomputer. The company has already delivered over 300 Atlas 900 supernodes to 20+ customers in industries that need large-scale AI computing, such as telecom and factories. Huawei also uses its strong networking technology and China’s stable power supply to ensure all the connected chips run smoothly without slowing down or overheating. 

Some experts say Huawei exaggerated the system’s performance, but most agree that it is serious about challenging its top competitors in global AI computing. 

Huawei releases new Ascend chips through 2028

Huawei will release a new version of Ascend AI chips every year, and each model will steadily increase the company’s computing power and double the performance of the previous one. The company will roll out the Ascend 950PR early next year, then the Ascend 950DT in late 2026, the Ascend 960 in late 2027, and finally the Ascend 970 in late 2028. 

Instead of depending on very powerful single chips that are harder and more expensive to produce, the company will gradually expand its computing power over time.

Huawei also wants to introduce its high-bandwidth AI memory to help the chips process data faster and manage bigger workloads. The company’s SuperClusters can deliver faster computing, handle more data simultaneously, and run complex AI tasks by combining the new Ascend chips with high-bandwidth memory. This approach will also allow China to reduce its dependence on foreign AI chips and memory since U.S. export restrictions and sanctions have already cut off access to high-end technology.

As earlier reported by Cryptopolitan, Nvidia’s CEO Jensen Huang cautioned that America’s self-imposed distance from China’s booming artificial intelligence sector could hand the market to Huawei.

During a wide-ranging interview at Paris’s Viva Technology event, Huang said that U.S. restrictions on exporting high-end AI chips to China may backfire, boosting Huawei’s domestic dominance and potentially positioning it to serve global markets.

According to Huang, Nvidia’s current processors lead the industry by roughly one product cycle. Still, he warned that if US firms refuse to engage with Chinese customers, “Huawei has got China covered, and Huawei has got everybody else covered.”

Huawei is committed to long-term growth as it plans a multi-year rollout to expand its SuperClusters and meet growing AI demands over time. This strategy will also allow the company to upgrade existing SuperClusters as they release new versions into the market and prepare Huawei to meet global AI demand.

Want your project in front of crypto’s top minds? Feature it in our next industry report, where data meets impact.

Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.
Share Insights

You May Also Like

Google's AP2 protocol has been released. Does encrypted AI still have a chance?

Google's AP2 protocol has been released. Does encrypted AI still have a chance?

Following the MCP and A2A protocols, the AI Agent market has seen another blockbuster arrival: the Agent Payments Protocol (AP2), developed by Google. This will clearly further enhance AI Agents' autonomous multi-tasking capabilities, but the unfortunate reality is that it has little to do with web3AI. Let's take a closer look: What problem does AP2 solve? Simply put, the MCP protocol is like a universal hook, enabling AI agents to connect to various external tools and data sources; A2A is a team collaboration communication protocol that allows multiple AI agents to cooperate with each other to complete complex tasks; AP2 completes the last piece of the puzzle - payment capability. In other words, MCP opens up connectivity, A2A promotes collaboration efficiency, and AP2 achieves value exchange. The arrival of AP2 truly injects "soul" into the autonomous collaboration and task execution of Multi-Agents. Imagine AI Agents connecting Qunar, Meituan, and Didi to complete the booking of flights, hotels, and car rentals, but then getting stuck at the point of "self-payment." What's the point of all that multitasking? So, remember this: AP2 is an extension of MCP+A2A, solving the last mile problem of AI Agent automated execution. What are the technical highlights of AP2? The core innovation of AP2 is the Mandates mechanism, which is divided into real-time authorization mode and delegated authorization mode. Real-time authorization is easy to understand. The AI Agent finds the product and shows it to you. The operation can only be performed after the user signs. Delegated authorization requires the user to set rules in advance, such as only buying the iPhone 17 when the price drops to 5,000. The AI Agent monitors the trigger conditions and executes automatically. The implementation logic is cryptographically signed using Verifiable Credentials (VCs). Users can set complex commission conditions, including price ranges, time limits, and payment method priorities, forming a tamper-proof digital contract. Once signed, the AI Agent executes according to the conditions, with VCs ensuring auditability and security at every step. Of particular note is the "A2A x402" extension, a technical component developed by Google specifically for crypto payments, developed in collaboration with Coinbase and the Ethereum Foundation. This extension enables AI Agents to seamlessly process stablecoins, ETH, and other blockchain assets, supporting native payment scenarios within the Web3 ecosystem. What kind of imagination space can AP2 bring? After analyzing the technical principles, do you think that's it? Yes, in fact, the AP2 is boring when it is disassembled alone. Its real charm lies in connecting and opening up the "MCP+A2A+AP2" technology stack, completely opening up the complete link of AI Agent's autonomous analysis+execution+payment. From now on, AI Agents can open up many application scenarios. For example, AI Agents for stock investment and financial management can help us monitor the market 24/7 and conduct independent transactions. Enterprise procurement AI Agents can automatically replenish and renew without human intervention. AP2's complementary payment capabilities will further expand the penetration of the Agent-to-Agent economy into more scenarios. Google obviously understands that after the technical framework is established, the ecological implementation must be relied upon, so it has brought in more than 60 partners to develop it, almost covering the entire payment and business ecosystem. Interestingly, it also involves major Crypto players such as Ethereum, Coinbase, MetaMask, and Sui. Combined with the current trend of currency and stock integration, the imagination space has been doubled. Is web3 AI really dead? Not entirely. Google's AP2 looks complete, but it only achieves technical compatibility with Crypto payments. It can only be regarded as an extension of the traditional authorization framework and belongs to the category of automated execution. There is a "paradigm" difference between it and the autonomous asset management pursued by pure Crypto native solutions. The Crypto-native solutions under exploration are taking the "decentralized custody + on-chain verification" route, including AI Agent autonomous asset management, AI Agent autonomous transactions (DeFAI), AI Agent digital identity and on-chain reputation system (ERC-8004...), AI Agent on-chain governance DAO framework, AI Agent NPC and digital avatars, and many other interesting and fun directions. Ultimately, once users get used to AI Agent payments in traditional fields, their acceptance of AI Agents autonomously owning digital assets will also increase. And for those scenarios that AP2 cannot reach, such as anonymous transactions, censorship-resistant payments, and decentralized asset management, there will always be a time for crypto-native solutions to show their strength? The two are more likely to be complementary rather than competitive, but to be honest, the key technological advancements behind AI Agents currently all come from web2AI, and web3AI still needs to keep up the good work!
Share
PANews2025/09/18 07:00
Share
The HackerNoon Newsletter: Startups, Meet Your New Distribution Channel: AI (9/18/2025)

The HackerNoon Newsletter: Startups, Meet Your New Distribution Channel: AI (9/18/2025)

How are you, hacker? 🪐 What’s happening in tech today, September 18, 2025? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, NeXTSTEP OS Released, Influenced Mac OS X in 1989, ICANN Formed to Oversee Internet Governance in 1998, U.S. Air Force Established as Separate Branch in 1947, and we present you with these top quality stories. From ML-Based Batch Estimation for Dynamic Pricing in Same-Day Delivery Services to How I Built a 3D Farm and Printed Over 2 Tons of Products For The Ukrainian Army, let’s dive right in. Startups, Meet Your New Distribution Channel: AI By @startupsoftheweek [ 6 Min read ] Learn how startups can win in the AI era—become the answer in ChatGPT Perplexity, build AI-native ops, and grow faster with smarter distribution. Read More. How to Make Your Fetch Requests Production-Ready By @hacker5295744 [ 12 Min read ] In this article, we will explore how to make your fetch requests production-ready using a library called ffetch. Read More. Humans Are the Improbability Drive AI Can’t Copy By @IHODLem [ 2 Min read ] AI runs on probability, humans thrive on impossibility. Douglas Adams’ improbability drive proves why the spark of surprise is ours alone. Read More. ML-Based Batch Estimation for Dynamic Pricing in Same-Day Delivery Services By @andrewnarts [ 9 Min read ] Five years ago, same-day delivery felt like a luxury. Today, it’s a baseline expectation. Read More. How I Built a 3D Farm and Printed Over 2 Tons of Products For The Ukrainian Army By @arthur.tkachenko [ 7 Min read ] Yuriy Sakhno is a volunteer helping the Ukrainian military with 3D printing. Read More. 🧑‍💻 What happened in your world this week? It's been said that writing can help consolidate technical knowledge, establish credibility, and contribute to emerging community standards. Feeling stuck? We got you covered ⬇️⬇️⬇️ ANSWER THESE GREATEST INTERVIEW QUESTIONS OF ALL TIME We hope you enjoy this worth of free reading material. Feel free to forward this email to a nerdy friend who'll love you for it.See you on Planet Internet! With love, The HackerNoon Team ✌️
Share
Hackernoon2025/09/19 00:03
Share