xAI has added 100,000 chips and will train Grok 4 with 200,000 Nvidia H100s and H200s ... than the H100 in tasks like fine-tuning Llama 2 and pre-training GPT-37 FP8 Tensor Core performance reaches 9 ...

Why is it absolutely vital to choose the right platform to train AI models? Well, sometimes, it can be a challenge with ...

Nvidia Corporation's earnings will likely grow much more smoothly in 8-10 years from now as the robotics tech develops and ...

The team at xAI, partnering with Supermicro and NVIDIA, is building the largest liquid-cooled GPU cluster deployment in the world.

Amazon Web Services and Google Cloud rely heavily on Nvidia GPUs for AI infrastructure, while Microsoft too is a large buyer ...

The tech integrates 2.5D packaging technology and 3D silicon stacking to usher in the next generation of “superchips” for AI.

AlexNet, created by Alex Krizhevsky, Sutskever and Geoffrey Hinton, used a deep convolutional neural network (CNN)—a powerful ...

Nvidia introduced the Blackwell GPU architecture to support the next generation of RTX 50-series g. This new architecture builds upon the Ada Lovelace design, offering enhancements aimed at improving ...

After years of head-scratching omissions, the OnePlus 13 pulls everything together in such a way that makes it hard to put ...

Developers say they have been able to train the model with five times less ... and leveraged Nvidia A100 and tensor core GPUs for large-scale training. “Because of the size of the data and ...

Intel lost over 60% of its value in 2024, the biggest drop in its 53 years as a public company. Broadcom’s stock price more ...

This new chip boasts an Ampere architecture GPU with 1,024 CUDA cores and 32 Tensor cores, a hexa-core ARM Cortex-A78AE ... of GPUs working in tandem to train and run efficiently.