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Nvidia fixes Blackwell chip flaw with help from TSMC, mass production back on schedule
Serving tech enthusiasts for over 25 years. TechSpot means tech analysis and advice you can trust. What just happened? Nvidia has successfully fixed a design flaw in its latest Blackwell AI chips, according to CEO Jensen Huang. The issue, which caused production delays, has been solved with the
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Nvidia's Jensen Huang admits AI chip design flaw was '100% Nvidia's fault' -- TSMC not to blame, now-fixed Blackwell chips are in production
Nvidia's yield-killing design flaw in its Blackwell GPU was fixed months ago, and a refined version of the B100/B200 processors is about to enter mass production. Jensen Huang, Nvidia's CEO, admitted this week that the flaw was entirely caused by Nvidia and said that the company's production
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"100% Nvidia's fault": Jensen Huang admits Blackwell AI chips had a concerning design flaw
Nvidia CEO Jensen Huang has confirmed a design flaw in its top-end Blackwell AI chips which had affected production was an entirely internal problem, which has now been fixed. "We had a design flaw in Blackwell," Huang said at an event in Copenhagen, Reuters reported. "It was functional, but the
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NVIDIA CEO: 'we had a design flaw in Blackwell, it was 100% NVIDIA's fault' not TSMC's fault
NVIDIA CEO Jensen Huang has addressed the issues surrounding its latest Blackwell AI chip, admitting that there was a design flaw that was "100% NVIDIA's fault" and that TSMC helped them through the tough Blackwell AI GPU launch. NVIDIA initially unveiled its new Blackwell chips at GTC 2024
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NVIDIA CEO Says Blackwell "Design Flaws" Were 100% On The Company, TSMC Had No Part To Play & Now Back To Full Production
NVIDIA says that Blackwell's design flaws are 100% on them, saying that TSMC had no part to play and that the Taiwan giant sorted the issue out. NVIDIA Verifies That The Firm Indeed Witnessed Blackwell Design Flaws; However, The Issue Was Rectified At An "Incredible Pace" Team Green's Blackwell
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Cutting through the 'fake news', Nvidia CEO Jen-Hsun Huang says Blackwell's design flaw was '100% Nvidia's fault' and there are no tensions with TSMC
After delays, Nvidia's Blackwell chips are finally shipping to customers, but the roll-out hasn't been completely smooth, as there were recent reports that Nvidia's and TSMC's relationship might be showing signs of stress over some Blackwell chip failures. Now, Nvidia CEO Jen-Hsun Huang has
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'100% Nvidia's Fault': CEO Jensen Huang Says the Company's AI Chip With 'Insane' Demand Had a Crucial Design Flaw
Nvidia's biggest customers are Amazon, Google, Meta, and Microsoft. Nvidia's Blackwell AI chip, the same one that Nvidia CEO Jensen Huang said had "insane" demand, is now free of a design error that caused a production delay. According to a Wednesday Reuters report, Huang said that the design
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Nvidia CEO says a design flaw in its new AI chip was '100% Nvidia's fault'
Expect the stock market 'fear index' to spike heading into the election, strategist says The chipmaker worked with its partner, Taiwan Semiconductor Manufacturing Company (TSM-0.72%), to resolve the engineering setback in its highly anticipated Blackwell AI platform. "It was functional, but the
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Nvidia's Huang Says Blackwell Problem Fixed
Nvidia CEO Jensen Huang said that a design problem with its new Blackwell AI chip had been fixed, adding that the flaw was "100% Nvidia's fault," Reuters reported. He described reports that the issue had caused tensions between Nvidia and TSMC, the Taiwanese chip giant that manufactures chips for
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NVIDIA CEO Jensen Huang admits to a design flaw in the company's latest Blackwell AI chips, which caused production delays. The issue has been resolved with TSMC's assistance, and mass production is back on schedule.

NVIDIA's CEO Jensen Huang has publicly addressed a significant design flaw in the company's latest Blackwell AI chips. "We had a design flaw in Blackwell," Huang stated at an event in Copenhagen. "It was functional, but the design flaw caused the yield to be low. It was 100% Nvidia's fault."
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This admission comes after reports of production delays that potentially affected major customers such as Meta, Google, and Microsoft1
.The Blackwell B100 and B200 GPUs utilize TSMC's CoWoS-L packaging technology, which employs an RDL interposer with local silicon interconnect bridges to achieve data transfer rates of about 10 TB/s. The flaw stemmed from a mismatch in thermal expansion properties between various components, causing system warping and failure
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.Contrary to initial reports suggesting tensions between NVIDIA and TSMC, Huang clarified that TSMC played a crucial role in resolving the issue. "What TSMC did was to help us recover from that yield difficulty and resume the manufacturing of Blackwell at an incredible pace," Huang explained
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. He dismissed claims of friction between the two companies as "fake news"4
.Huang highlighted the complexity of the Blackwell project, stating, "In order to make a Blackwell computer work, seven different types of chips were designed from scratch and had to be ramped into production at the same time."
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This complexity may have contributed to the occurrence of the design flaw.To address the issue, NVIDIA modified the top metal layers and bumps of the GPU silicon, enhancing production yields. While specific details of the fix remain undisclosed, the company confirmed that new masks were required
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. The speed of resolution was noteworthy, as such issues typically take around three months to address in the semiconductor industry2
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With the design flaw now resolved, mass production of the fixed Blackwell GPUs is set to begin in late October. Shipments are expected to start in early 2025, aligning with NVIDIA's fiscal year
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. Demand for Blackwell chips remains high, with major tech companies placing significant orders. Google has ordered over 400,000 GB200 chips in a deal exceeding $10 billion, while Meta has placed a $10 billion order1
.The successful resolution of this design flaw is crucial for NVIDIA as it aims to maintain its dominant position in the AI chip market. The Blackwell platform, described by Huang as "the world's most powerful chip," is set to be up to 30x faster than its Grace Hopper predecessor in AI inference tasks, while also reducing cost and energy consumption by up to 25x
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. This advancement is expected to solidify NVIDIA's leadership in the rapidly growing AI computing solutions market.Summarized by
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