As you might have already guessed, the answer to that question really depends on what you're trying to achieve. If you're doing low-level programming for GPUs, the CUDA moat is very real. Existing ...

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For a walkthrough about the design of the RAPIDS Memory Manager, read Fast, Flexible Allocation for NVIDIA CUDA with RAPIDS Memory Manager on ... See the RAPIDS Installation Guide for system ...

After offering access to Groq's inference service for free, 625,000 developers are using the company's APIs.

SemiAnalysis pitted AMD's Instinct MI300X against Nvidia's H100 and H200, observing several differences between the chips.

as Nvidia looked to expand the use case for these chips, it created a free software program that allowed developers to program its chips for other tasks. While it took time, this led to CUDA ...

The Jetson Orin Nano Super is Nvidia's latest single board computer, bringing a low-powered AI development board home.

The full Nvidia GB202 specs are expected to include 24,576 CUDA cores if all its parts are fully enabled, spread across 192 streaming multiprocessor (SM) units, giving it 192 RT cores. However ...

Broadcom's ASIC AI chips offer cost advantages, but the stock appears overbought. Read why AVGO warrants caution with high ...

Nvidia looks poised to continue to benefit from the AI infrastructure buildout. TSMC will benefit from increased prices and the continued strong demand for AI chips. Alphabet is finally starting ...

There are two reasons for the company has become so dominant: (1) Nvidia GPUs are supported by an unmatched ecosystem of software development tools called CUDA, and (2) Nvidia GPUs consistently ...