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NVIDIA has introduced Rubin CPX, a new class of GPU designed to process massive AI workloads such as million-token coding and long-form video applications. The launch took place at the AI Infra Summit in Santa Clara, where the company also shared new benchmark…

Multi-Instance GPU (MIG) technology, a hardware feature that allows graphics processors to be split into smaller, isolated compute instances, is fast becoming the foundation of GPU-as-a-Service (GPUaaS).Indian cloud providers NeevCloud and NxtGen say the…

What happens when you take a low-cost Dell OptiPlex office PC, toss in two cheap GPUs, and use a little-known app called Lossless Scaling to generate extra frames?
Well… it turns out this thing actually works. 😳 In this video, I’m upgrading a budget Dell…

ESDS Software Solution Limited has launched a sovereign-grade GPU-as-a-Service offering. Unveiled during the company’s 20th Annual Day, the service aims to meet the growing compute demands of AI/ML, GenAI and LLM workloads across enterprises, BFSI, research…

NVIDIA enters 2026 in a position few technology companies have occupied before. Once best known for gaming graphics, it now sits at the centre of how AI is trained, deployed and scaled across industries.  In early 2025, the giant reached a $4 trillion market…

Nvidia's CEO Jensen Huang's vision has sparked advancements in AI and medicine, earning him the IEEE Medal of Honor.

How GPU acceleration streamlines data preparation, model training, and visualization

There are big variations among the same chips in AI clouds

Learn more about LLM inference here → https://ibm.biz/~Ewjm0UejN

Why do LLMs crawl when traffic spikes? 🤔 Legare Kerrison explains how KV cache and paged attention reshape GPU memory across prefill and decode to speed up LLM inference. Learn how smarter…