Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Originally designed to accelerate computer image processing, graphics processing units (GPUs ...

In the past, the CPU was the undisputed center of computing. But today, the GPU has taken that crown—not by replacing the CPU entirely, but by surpassing it in relevance, performance, and versatility ...

Servers built for machine learning will need a key ingredient - graphics processing units (GPUs). GPUs could comprise up to 75% of the value of these servers as machine learning becomes a primary ...

Google added another arrow to the quiver of solution providers deploying next-gen services Monday by introducing Nvidia P4 graphics processors to its cloud. The P4 GPUs are good fits to accelerate ...

Nvidia has been more than a hardware company for a long time. As its GPUs are broadly used to run machine learning workloads, machine learning has become a key priority for Nvidia. In its GTC event ...

Isn’t it curious that two of the top conferences on artificial intelligence are organized by NVIDIA and Intel? What do chip companies have to teach us about algorithms? The answer is that nowadays, ...

Signal processing algorithms, architectures, and systems are at the heart of modern technologies that generate, transform, and interpret information across applications as diverse as communications, ...

Machine translation of human languages has been a dream of researchers ever since computers powerful enough for the job became available. That was long before the internet became a thing, and ...