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Huawei reveals giant new AI chip cluster as Nvidia’s China issues rise

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A person walks past a display of an Atlas 900 AI cluster at the Huawei stand during the World Artificial Intelligence Conference at the Shanghai World Expo and Convention Center in Shanghai on July 28, 2025.

Hector Retamal | Afp | Getty Images

BEIJING — Chinese telecommunications giant Huawei announced Thursday new computing systems for powering artificial intelligence with its in-house Ascend chips, as it steps up pressure on U.S. rival Nvidia.

The company said it plans to launch its new “Atlas 950 SuperCluster” as soon as next year.

The U.S. has sought to cut China off from the most advanced semiconductors for training AI models. To cope, Chinese companies have turned more to grouping large numbers of less efficient, often homegrown, chips together to achieve similar computing capabilities.

Under Huawei’s AI computing infrastructure, a supercluster is connected to multiple superpods, which, in turn, are built from multiple supernodes. Supernodes, which form the base, are built on Ascend chips, using system design to overcome technical limitations imposed by U.S. sanctions.

Huawei said its new Atlas 950 supernode would support 8,192 Ascend chips, and that the Atlas 950 SuperCluster would use more than 500,000 chips.

A more advanced Atlas 960 version, slated for launch in 2027, would support 15,488 Ascend chips per node. The full supercluster would have more than 1 million Ascend chips, according to Huawei.

It was not immediately clear how the systems compared with those powered by Nvidia chips. Huawei claimed in a press release that the new supernodes would be the world’s most powerful by computing power for several years.

“Huawei’s announcement on its computing breakthrough is well timed with recent increasing emphasis by the Chinese government on self-reliance on China’s own chip technologies,” said George Chen, partner and co-chair, digital practice, The Asia Group.

While he cautioned that Huawei might exaggerate its technical capabilities, Chen pointed out that the Chinese company’s ambition to be a world AI leader “cannot be underestimated.”

Watch CNBC's full interview with Treasury Secretary Scott Bessent

Research firm SemiAnalysis found in April that Huawei’s self-developed CloudMatrix system was able to perform better than Nvidia’s — despite each Ascend chip delivering only about one-third the performance of an Nvidia processor. Huawei built its advantage by having five times as many chips.

“Computing power has and will continue to be the key for AI,” Eric Xu, vice chairman and rotating chairman of Huawei, said Thursday in a statement, translated by CNBC. He was speaking at the opening of the company’s annual Huawei Connect event in Shanghai. The event runs through Saturday.

Two years ago at the same event, Huawei announced its Atlas 900 SuperCluster. The company currently sells a “Atlas 900 AI Cluster” with “thousands” of Ascend chips.

Rising pressure on Nvidia

Huawei’s announcement comes as China promotes homegrown alternatives to Nvidia. Earlier this week, the two countries wrapped up trade talks in Spain that included a path toward resolving the long-contested U.S. operations of social media app TikTok, owned by Beijing-based startup ByteDance.

In another aggressive signal, China on Monday announced it was extending a probe into Nvidia over alleged monopolistic practices.

Pressure has only risen since on the U.S. chipmaker. Its shares fell more than 2% Wednesday after the Financial Times, citing sources, said China has ordered local tech giants to stop tests and orders of the Nvidia RTX Pro 6000D chip.

Nvidia CEO Jensen Huang told reporters he was “disappointed” to hear the news of the reported ban. He’s previously described Huawei as a “formidable” competitor.

In this photo illustration a Huawei logo is displayed on a smartphone with a Chinese flag in the background.

How Huawei ascended from telecoms to become China’s ‘jack of all trades’ AI leader

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Cross-Border Settlement Innovation and Real-Time Payment Architecture

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The global banking system is undergoing a comprehensive modernization of cross-border payment infrastructure. Driven by real-time settlement networks, open banking APIs, and interoperable messaging standards, financial institutions and multinational corporations are eliminating multi-day delays and reducing transaction costs associated with legacy international wire transfers.

Transition to Real-Time Gross Settlement Networks
Historically, international business-to-business (B2B) payments relied on complex correspondent banking relationships involving intermediary fees and processing delays. In 2026, the widespread adoption of ISO 20022 messaging protocols alongside interconnected Real-Time Gross Settlement (RTGS) systems allows direct, end-to-end processing of cross-border transfers.

Commercial banks are providing corporate clients with continuous, 24/7 payment clearing capabilities. Real-time transaction confirmation and automated FX rate locking allow international businesses to settle cross-border trade obligations within minutes, significantly reducing counterparty risk.

Central Bank Digital Currency (CBDC) Interoperability
Wholesale Central Bank Digital Currency (CBDC) pilot initiatives are reaching operational maturity across several key financial centers. Collaborative multi-CBDC platforms enable participating central banks and commercial institutions to settle foreign exchange and international trade transactions directly on shared distributed ledgers.

These wholesale digital currency networks eliminate traditional clearinghouse delays and minimize foreign exchange slippage. Enterprise treasury departments benefit from enhanced liquidity management, as cross-border cash balances can be deployed and repatriated instantaneously.

Corporate Treasury Transformation
For enterprise treasurers, instant cross-border settlement transforms cash management strategies:
– Working Capital Optimization: Reduced transaction float allows companies to lower precautionary cash reserves and optimize short-term liquidity investments.
– Automated Reconciliation: Enriched data formats embedded in ISO 20022 payment messages streamline automated general ledger posting and invoice matching.
– Reduced Processing Overhead: Account-to-account (A2A) real-time clearing bypasses costly intermediary correspondent banking fees.

Strategic Financial Priorities
1. Upgrade Treasury Systems: Ensure internal core enterprise software supports real-time ISO 20022 payment messaging standards.
2. Leverage Instant Clearing Rails: Utilize direct payment networks to lower cross-border transaction fees and eliminate settlement delays.
3. Evaluate Multi-Currency Liquidity: Modernize liquidity management frameworks to capitalize on 24/7 real-time settlement capabilities.

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Private Credit Expansion and Regulatory Oversight in 2026 Capital Markets

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The global private credit market has solidified its role as a fundamental pillar of enterprise finance, expanding rapidly across middle-market lending, asset-backed finance, and infrastructure financing. As non-bank financial institutions capture a larger share of corporate debt origination, global regulatory bodies are increasing oversight to evaluate market transparency and systemic risk interconnections.

Growth Drivers in Direct Lending
Direct lending platforms have continued to attract substantial institutional allocations from pension funds, sovereign wealth entities, and insurance companies seeking attractive risk-adjusted yields. Private debt funds offer corporate borrowers customized financing structures, faster execution timelines, and confidentiality compared to syndicated loan markets.

In 2026, private credit managers are increasingly financing larger corporate transactions, providing multi-billion-dollar credit facilities for buyout deals and corporate restructurings. The flexibility of private debt contracts—featuring unitranche pricing and tailored covenant packages—has made direct lending the preferred capital source for middle-market enterprise sponsors.

Regulatory Scrutiny and Systemic Risk Assessment
The rapid growth of non-bank intermediation has drawn heightened scrutiny from financial regulators in North America and Europe. Because private debt agreements are negotiated privately without public exchange disclosures, central banks are evaluating potential vulnerabilities related to asset valuation consistency and fund liquidity profiles.

Regulatory agencies are introducing guidelines aimed at improving reporting standards for private investment vehicles managing institutional assets. Key focus areas include monitoring leverage ratios within private credit funds and evaluating indirect credit exposures between commercial banking institutions and private debt funds.

Navigating Elevated Refinancing Costs
With benchmark interest rates remaining elevated, private debt borrowers face higher debt service obligations on floating-rate credit facilities. Financial advisory firms report an increase in proactive liability management strategies, including payment-in-kind (PIK) interest options, equity infusions from sponsors, and covenant modifications.

Private credit managers with deep operational capabilities are actively working alongside portfolio companies to optimize working capital and maintain cash flow coverage ratios during periods of higher borrowing costs.

Key Financial Takeaways
1. Mainstream Asset Class: Private credit has expanded beyond niche alternative asset status into a core corporate finance solution.
2. Enhanced Transparency Standards: Regulatory frameworks are evolving toward greater disclosure requirements for private debt managers.
3. Proactive Risk Management: Lenders and sponsors must prioritize debt sustainability and active portfolio monitoring amid high benchmark rates.

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Venture Capital and Startup Valuations in 2026: Focus on Unit Economics and Sustainable Growth

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The global venture capital (VC) ecosystem is operating under a disciplined investment framework in 2026. Following years of valuation adjustments and shifting liquidity environments, venture capital firms and private equity investors are prioritizing proven unit economics, positive cash flow pathways, and capital efficiency over rapid, unconstrained user acquisition.

The Shift Toward Disciplined Startup Valuations
Early-stage and growth-stage startup valuations have stabilized at sustainable historical averages. Venture capital partners are conducting rigorous due diligence processes before deploying capital, scrutinizing gross margins, customer acquisition costs (CAC), net revenue retention (NRR), and lifetime value (LTV) metrics.

While total capital deployed remains robust, seed and Series A funding rounds are taking longer to finalize. Founders are expected to demonstrate clear product-market fit and defensible intellectual property rather than relying on top-line revenue projections unsupported by strong underlying economics.

M&A Activity and Liquidity Solutions
The market for venture-backed exits is seeing renewed momentum through strategic mergers and acquisitions (M&A) and secondary market liquidity facilities. Established corporate enterprises are acquiring high-performing technology startups to integrate proprietary artificial intelligence models and specialized software solutions into their product ecosystems.

Simultaneously, secondary market transactions have become an essential liquidity mechanism for early employees and institutional investors. Specialized secondary funds are purchasing pre-IPO shares at discounted valuations, providing liquidity opportunities while companies remain private for longer durations.

Sector Allocation: Deep Tech, Clean Energy, and Enterprise Automation
Venture capital investment is heavily concentrated in deep technology and capital-intensive engineering sectors. High-growth investment themes include:
– Next-Generation Semiconductors: Hardware startups designing specialized AI processors and energy-efficient microchip architectures.
– Clean Technology: Battery chemistry innovations, carbon capture solutions, and grid-scale energy storage startups.
– Enterprise Process Automation: Software platforms that automate complex workflows in healthcare, financial services, and industrial logistics.

Key Insights for Entrepreneurs and Investors
1. Prioritize Capital Efficiency: Startups focused on achieving operational profitability receive higher valuation premiums from institutional investors.
2. Strategic Exit Planning: Corporate M&A is serving as a primary exit route for venture-backed startups navigating prolonged IPO windows.
3. Focus on High-Moat Technologies: Deep tech and proprietary software architectures are securing the majority of growth-stage capital allocations.

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