NVIDIA: AI Still Has a Hardware Problem


The largest AI models can take months to train on today’s computing platforms. NVIDIA’s new offerings aim to address that issue.

At its annual GTC conference, NVIDIA announced a bevy of new AI-specific GPUs and CPUs, including the Hopper H100 GPU, which they claim will dramatically speed up how companies deploy the most sophisticated AI applications like BERT and GPT-3, which are built using transformer models. But the announcement begs the question: Can all challenges around AI simply be solved with more computing power?

See also: NVIDIA and Partners Target Artificial Intelligence at GTC

Joel Hans

About Joel Hans

Joel Hans is a copywriter and technical content creator for open source, B2B, and SaaS companies at Commit Copy, bringing experience in infrastructure monitoring, time-series databases, blockchain, streaming analytics, and more. Find him on Twitter @joelhans.

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