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RISC-V Upstart Targets ML Inference Performance, Power Efficiency | Jeffrey Burt, The Next Platform

By September 28, 2021No Comments

There is a growing number of vendors big and small going hard to the hoop to make processors for artificial intelligence workloads. AI and machine learning are key enablers of automation and analytics that play an increasingly crucial role in a highly distributed IT environment that spans on-premises datacenters, public and private clouds and the growing edge space.

The market for AI chips continues to be dominated by the large established players. In a report last month, market research firm Omdia said Nvidia, which several years ago made machine learning central to its growth plans, continued to be the top vendor in 2020, holding an 80.6 percent share of the $4 billion in global revenue generated, with $3.2 billion. Omdia expects worldwide revenue for AI chips in datacenters and the cloud will hit $37.6 billion in 2026.

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