Articles

  • Jan 15, 2025 | cerebras.ai | James Wang

    Conventional wisdom in semiconductor manufacturing has long held that bigger chips mean worse yields. Yet at Cerebras, we’ve successfully built and commercialized a chip 50x larger than the largest computer chips – and achieved comparable yields. This seeming paradox is one of our most frequently asked questions: how do we achieve a usable yield with a wafer-scale processor? The answer lies in rethinking the relationship between chip size and fault tolerance.

  • Jan 7, 2025 | ai-supremacy.com | James Wang |Michael Spencer

    Hello Humans! I’m still in battery saving mode so updates may be a little less frequent than usual across my channels. As we kick off 2025, a writer I’ve admired last year agreed to write this guest post. None other than of the Newsletter Weight Thoughts. James Wang Introduces his Newsletter and upcoming Book (0:41 seconds) James Wang is also writing a book, which really grabbed my attention because I like his style of writing.

  • Dec 17, 2024 | idc.com | James Wang

    You need a subscription to access this IDC Link. Log in to see if you have access. For more information please or call one of our worldwide offices.

  • Dec 7, 2024 | idc.com | James Wang

    When you purchase this document, the purchase price can be applied to the cost of an annual subscription, giving you access to more research for your investment.

  • Nov 18, 2024 | cerebras.ai | James Wang

    Frontier AI now runs at instant speed. Last week we ran a customer workload on Llama 3.1 405B at 969 tokens/s – a new record for Meta’s frontier model. Llama 3.1 405B on Cerebras is by far the fastest frontier model in the world – 12x faster than GPT-4o and 18x faster than Claude 3.5 Sonnet. In addition, we achieved the highest performance at 128K context length and shortest time-to-first-token latency, as measured by Artificial Analysis.

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