Shashank is the Chief AI Officer at MooresLab AI, where he helps chip companies leverage Agentic AI to accelerate silicon engineering tasks. From training large language models with hundreds of ...

The main processor (CPU, “Central Processing Unit”), the main memory (RAM, “Random-Access Memory”), and the dedicated graphics card with its graphics processor (GPU, “Graphics Processing Unit”) are ...

As the world rushes to make use of the latest wave of AI technologies, one piece of high-tech hardware has become a surprisingly hot commodity: the graphics processing unit, or GPU. A top-of-the-line ...

Nvidia's $20B Groq deal and Groq 3 LPU debut at GTC 2026 signal a shift from GPU-only inference to heterogeneous AI computing ...

Nvidia debuts the Groq 3 language processing unit, a dedicated inference chip for multi-agent workloads - SiliconANGLE ...

Graphics cards or graphics processing units (GPU) are crucial if you are building a PC or looking to make a graphical upgrade to your current computer. Many computers get by with an integrated ...

If you’re buying a new GPU (graphics processing unit), you should definitely have an understanding of how it all works. Although the terms GPU and graphics card are often used interchangeably, ...

Sparse matrix computations are pivotal to advancing high-performance scientific applications, particularly as modern numerical simulations and data analyses demand efficient management of large, ...

The difference between a CPU (Central Processing Unit) and a GPU (Graphics Processing Unit) primarily lies in their design and functionality. CPUs are designed to handle a wide range of computing ...

Nvidia's operating expansion has been textbook, which includes a monopoly-like share of the graphics processing units (GPUs) used in high-compute data centers. External competition from the likes of ...

While Advanced Micro Devices (AMD for short) plays second fiddle to Nvidia in the graphics processing unit (GPU) market, it ...