PitchBook News - Nvidia's diverse ecosystem

Nvidia's prodigious earnings reports are not the only way to track the rise of GPU-centric datacenters.

Signals of that progress also surface from the commercial and financial breakthroughs by complementary equipment and software vendors, including the largest AI VC exit in Q1 from Astera Labs along with outlier valuation growth from Nvidia customer Lambda.

Our Q1 2024 AI & Machine Learning Report shows how companies accelerating Nvidia hardware stand out from the rest of AI in producing VC exits, including Nvidia's own investments and the pipeline for future IPOs.

A gap in the market arises from the shifting balance of spending from training models to deploying them, compounded by the long wait times and high costs for Nvidia's best resources, even as its new designs lower operational costs significantly. A diverse ecosystem of hardware and software vendors can step in to address customer demand for cloud cost containment.

 

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