Something to make Arm, Intel and AMD squirm; Nvidia, Qualcomm, Google and Samsung will deliver AI-focused presentations at RISC-V Summit

The caller RISC-V Summit successful Santa Clara, California, saw awesome manufacture players for illustration Nvidia, Qualcomm, Google, and Samsung present presentations focused connected AI and nan expanding domiciled of nan RISC-V architecture.

The engagement of specified large sanction players put a spotlight connected nan increasing momentum down RISC-V, which is progressively being seen arsenic viable challenger to proprietary architectures for illustration Arm and x86.

Nvidia, which has utilized RISC-V successful its GPU microcontrollers for astir a decade, presented a 20-minute keynote titled “One Architecture, Dozens of Applications, Billions of Processors,” presented by its VP of Multimedia Architecture/ASIC, Frans Sijstermans exploring nan institution has utilized RISC-V to amended its products, highlighting nan architecture’s increasing power successful GPU design.

Building caller AI accelerators

Having antecedently announced its semipermanent committedness to RISC-V, Qualcomm besides took to nan shape to talk Sail and different replacement approaches to providing a azygous root of truth for nan RISC-V ISA. The institution besides participated successful a keynote sheet connected nan early of AI and security, alongside Nvidia and others.

Samsung highlighted really it has successfully integrated RISC-V CPUs into its embedded systems, and offered insights connected really Samsung Foundry is helping customers innovate pinch RISC-V. The institution besides discussed ways it has optimized spot and chiplet capacity to create smarter, much businesslike systems.

One of nan definite highlights of nan arena was a talk from Google DeepMind’s Cliff Young and Martin Maas, who said connected nan benefits of building caller AI accelerators pinch RISC-V. Google’s TPUs are based connected nan architecture, and nan convention covered nan pair’s experiences astatine Google designing and deploying successful accelerators and nan challenges faced on nan way.

Although wide server and PC take whitethorn return time, RISC-V is gaining momentum successful some nan AI and automotive sectors, pinch different acme speakers discussing much astir this and screen really upcoming computing trends could beryllium shaped by nan architecture, including RISC-V’s domiciled successful generative AI and high-performance computing.

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