Explore AIstify's latest reporting, research, and expert analysis tagged with "ai hardware", collected in one continuously updated archive.
Palantir and Nvidia unveiled a sovereign AI OS reference architecture designed to deliver turnkey AI data centers. The platform integrates Nvidia Blackwell systems with Palantir’s enterprise AI software stack.
Meta introduced four new in-house MTIA chips designed for AI training and inference as the company accelerates data center expansion. The chips aim to improve performance and reduce reliance on external hardware suppliers.
Nvidia and Nebius have formed a strategic partnership to build hyperscale AI cloud infrastructure, with Nvidia investing $2 billion to support gigawatt-scale AI computing capacity.
AI chips are specialized processors designed to run artificial intelligence models efficiently. This guide explains what AI chips are, how they work, and why they are essential for modern AI systems.
Broadcom expects artificial intelligence chip sales to surpass $100 billion by 2027 as demand surges from major technology companies building AI infrastructure.
Inference is the process in which a trained AI model applies learned patterns to new input and produces a prediction, decision, or generated response.
Xiaomi plans to release a new smartphone processor each year and launch an AI assistant for international markets as it expands its chip design and AI ecosystem.
Honor confirmed its Robot Phone will launch in the second half of the year, featuring a 200MP camera with a built-in three-axis mechanical gimbal system.
Dell shares jumped 19% after the company topped fourth-quarter expectations and issued strong revenue guidance, driven by surging demand for AI servers amid a memory shortage.
Meta CEO Mark Zuckerberg’s appearance at Prada’s Milan Fashion Week show has sparked speculation about a potential Prada-branded version of Meta’s AI glasses. The company has not confirmed any collaboration.
Burger King is testing an AI-powered headset system called Patty, designed to monitor operations, assist employees, and track service patterns in real time.
Nvidia reports record Q4 revenue of $68.1B and net income of $43B, driven by strong AI data center demand and continued hyperscale investment.
Meta plans to buy up to $100 billion in AMD GPUs and CPUs, issuing performance-based warrants as it ramps AI data centers and diversifies compute infrastructure.
Nvidia reports earnings amid robust AI chip demand, with $630B Big Tech spending supporting growth, though competition from in-house chips poses risks.
Meta is reportedly planning to add facial recognition to its smart glasses, allowing users to identify people via AI, despite ongoing privacy and safety concerns.