10 results found
Nvidia is extending its AI dominance beyond GPUs, focusing on system-level data orchestration within massive data centers. Post-earnings, the company's Vera Rubin architecture, including the Vera CPU, is proving crucial for efficient data management, optimizing performance and energy use. This shift towards smarter data traffic control marks a new competitive front in AI infrastructure, where Nvidia currently holds a commanding lead.
Your Graphics Processing Unit (GPU) is a powerhouse, but it often generates considerable heat and noise in its quest for maximum performance. While chasing the absolute highest frame rates, GPUs can become inefficient,
NVIDIA Nemotron 3.5 Lightning is an open-weights, hybrid MoE (Mamba-2 + MoE + Attention) LLM designed for efficient AI agent development. It supports 1M token context, offers speculative decoding methods like DSpark, and is optimized for NVIDIA Blackwell, Hopper, and Ampere GPUs. Developers can deploy it via vLLM, TensorRT-LLM, or SGLang, leveraging its advanced features like reasoning control and tool-calling through an OpenAI-compatible API.
Quick Verdict: A Resourceful 4K Refresh For gamers holding onto a high-end Nvidia Ampere GPU like the RTX 3090 and who happen to have a spare, lower-tier card such as an RTX 3050, this dual-GPU setup leveraging Lossless
NVIDIA has committed over $40 billion to AI equity investments in the first four months of 2026, including a $30 billion stake in OpenAI. This strategy, which also includes significant investments in companies like CoreWeave, IREN, and Corning, aims to ensure compute capacity is built around NVIDIA's GPUs, influencing the entire AI value chain. While bolstering NVIDIA's data-center revenue, the aggressive approach raises questions about "circular financing" and potential regulatory scrutiny.
Many of us developers dream of building a groundbreaking product, perhaps even a startup. The conventional wisdom often points to seeking venture capital (VC) funding as a prerequisite for scale. But what if there was
Intel and SambaNova's new heterogeneous AI inference platform combines GPUs/AI accelerators, SambaNova RDUs, and Intel Xeon 6 processors. Targeting a broad range of agentic workloads for H2 2026, it promises easy data center integration and competitive performance, aiming to challenge market leaders.
Quick Verdict 15 years ago, AMD's Radeon HD 6990 stormed onto the scene as the undisputed speed king of graphics cards. A marvel of its era, this dual-GPU beast delivered unparalleled performance, reigning as the
Quick Verdict Epic Games' new Fortnite 'Showdown' season, featuring the 'Rivalry' competition, presents an extraordinary opportunity for top-tier players to win high-end hardware like the RTX 5080 GPU and PlayStation 5
Startup founders face immense pressure to accelerate AI adoption amidst tighter funding and rising costs. While cloud credits, GPUs, and foundation models simplify getting started, early infrastructure choices can lead to unforeseen consequences and hidden costs as companies grow. This blog post explores the challenges and the importance of foresight in the fast-paced AI startup landscape.
