Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

When Nvidia first showed off its Compute Unified Device Architecture (CUDA) parallel computing platform in 2006, it was a multibillion-dollar bet that failed to turn a profit for a decade. Today, it ...

Nvidia is an entrenched leader, and Vera Rubin could set an even higher bar when it arrives. Broadcom's AI chip business could multiply as several high-profile chip deals begin to take off. Both ...

Programming languages are evolving to bring the software closer to hardware. As hardware architectures become more parallel (with the advent of multicore processors and FPGAs, for example), sequential ...

The artificial intelligence (AI) era continues to gain momentum. Total capital expenditures among top AI companies could hit $700 billion this year. All these investments have driven a chip supercycle ...

Nvidia's recent $700 million acquisition of Run:ai enhances GPU access and infrastructure flexibility. The acquisition of OctoAI for $250 million bolsters Nvidia's generative AI tools portfolio.