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Anthropic Considers Custom AI Chips as Compute Shortage Intensifies
The effort remains in early stages, and the company has not yet committed to building custom chips or assembling a dedicated team.
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The effort remains in early stages, and the company has not yet committed to building custom chips or assembling a dedicated team.
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The compute resources will be used to train and deploy Anthropic’s flagship Claude AI models.
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The chip will be manufactured by TSMC using its advanced 3-nanometer process.
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The card enables full AI workloads to run on its onboard MLSoC architecture, reducing reliance on host CPUs and improving throughput.
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The company revealed plans to release four MTIA generations within two years, a pace that reflects the rapid evolution of AI systems and the computing infrastructure needed to support them.
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In October, The Left Shift published an exclusive report on Meta's talks with Google about a potential multi-million-dollar deal for Google's TPUs.
Funding
SambaNova claims this enables enterprises to run larger models with higher responsiveness and lower operational costs.
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The valuation for the round has not been disclosed.
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The company said the funding will be used to expand its engineering and operations teams, scale manufacturing, and bring its inference-focused hardware and software stack to a broader set of enterprise customers.
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Microsoft claims the accelerator offers up to 30 percent better performance per dollar than its current hardware.
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They allegedly sent 400 NVIDIA A100 GPUs to China via transshipment hubs in Malaysia and Thailand.
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The technology, expected to be unveiled at a forthcoming AI industry conference, could raise chip utilisation rates to around 70 percent, up from the current 30–40 percent.