Nvidia is reportedly targeting Arm-based PC processors, betting the next wave of AI PCs needs tighter CPU-GPU-NPU integration than x86 alone.

NVIDIA Corporation’s record Q4 revenue and surging free cash flow signal strong AI momentum. Click here for this earnings update of NVDA stock.

As enterprises pour billions into GPU infrastructure for AI workloads, many are discovering that their expensive compute resources sit idle far more than expected. The culprit isn't the hardware. It’s the often-invisible data delivery layer between storage and compute that's starving GPUs of the information they need.

NVIDIA begins shipping Vera Rubin VR200 AI rack samples, promising HBM4 memory, 100 PFLOPS performance, and up to 10× lower inference costs.

For AI data centers, this translates into significantly improved FLOPs per watt, enhanced Power Usage Effectiveness (PUE), and greater capital efficiency per rack.

Akash Systems this week announced it has delivered the world's first diamond-cooled GPUs to NxtGen AI, an Indian cloud provider. NxtGen has received Nvidia H200 GPU servers equipped with Akash's proprietary diamond cooling technology.

AI token processing has soared recently on OpenRouter, while Nvidia GPU rental prices have jumped.

Below are the top five decentralized GPU platforms that AI developers should not ignore in 2026. Akash is a reverse auction marketplace where GPU providers compete for developer workloads, which in turn reduces costs. This model ensures that costs remain far below those of hyperscalers.

GPUs are crucial to modern computing. You're probably reading this on a screen that's making use of a GPU. But what is a GPU? What are they good for? Join us for a layman's overview. A graphics processing unit (aka a GPU, graphics card, or video card) is a ...

A remarkably efficient way to handle two very different workloads

The two companies announced that their offering will provide customers with a powerful alternative to GPU-centric AI inference solutions. ・As part of the deal, SambaNova will be built on Intel Xeon‑based infrastructure and optimized for large language and multimodal models.