That’s because you can simply pass the same GPU to multiple containers instead of going through the headache of setting up ...

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 ...

Researchers at the Georgia Tech Research Institute (GTRI) and the Georgia Tech School of Electrical and Computer Engineering are working on a project funded by the Air Force and DARPA to modify the ...

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 ...

NVIDIA Corporation’s NVDA growth story has so far been defined by its dominance in artificial intelligence (AI) data centers ...

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 ...

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 ...

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, ...

The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...

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, ...