AI Chips news and analysis on Web Pulse: 3115 curated articles tracking the latest AI Chips developments, tools, and research, updated continuously from vetted sources.
The rapid buildout of AI infrastructure has created a structural shortage of DRAM and NAND flash memory, causing enterprise IT budgets to become unpredictable and server costs to rise by over 125% in the first half of 20…
A buyer who spent roughly $10,000 on both a Mac Studio M3 Ultra with 512 GB of unified memory and a dual NVIDIA DGX Spark setup ran the same 397-billion-parameter model on each machine and measured the performance differ…
NVIDIA GPUs with Confidential Computing are now used for confidential inference in Apple's Private Cloud Compute, expanding beyond Apple's data centers to Google Cloud. The collaboration supports server-side inference fo…
The AI industry is shifting its focus from building ever-larger models to making them affordable enough for real-world deployment, according to executives speaking at Fortune Brainstorm Tech. Adaption CEO Sara Hooker arg…
European AI companies like Mistral AI are pursuing sovereign AI strategies to maintain control over models, data, and compute power, but remain dependent on U.S.-made chips as no European equivalent exists, according to …
Efinix has launched the Titanium Edge family of FPGAs for edge AI applications, based on soft or hard RISC-V cores with AI instruction extensions. The company's XLR logic cell dynamically reconfigures between logic and r…
NVIDIA CEO Jensen Huang told Stanford students that his company achieved a 1,000,000x improvement in computing performance over the past decade through co-design — simultaneously optimizing hardware, software, and networ…
Broadcom reported $22.19 billion in revenue for its fiscal second quarter, a 47.9 percent increase year over year, driven by surging demand for its custom AI chip design and networking components. The company is on track…
Chris Lattner, a lead engineer on Apple's original OpenCL implementation, explains why OpenCL and other C++-based GPU programming models failed to become dominant in AI, citing slow committee-driven development and the c…
DeepSeek v4, an open-source model from a Chinese lab, achieved a 100x performance improvement on AMD hardware within 26 days of its Day 0 release, driven by the AMD SGLang engineering team. The InferenceX team tracked pe…
GPU clouds face a fundamental tension as they attempt to carve expensive hardware into shareable units for enterprise AI workloads, but the hardware was never designed for safe multitenant use, fast fault recovery, or cl…
NVIDIA's RTX 5090, priced at $1,999, offers 32 GB of GDDR7 memory with 1,792 GB/s bandwidth, making it the fastest consumer GPU for both gaming and local AI inference. The card excels at running 32B-class models at 40-60…
Apple overhauled its Apple Intelligence platform at WWDC 2026, announcing a strategic partnership with Google to co-develop Foundation Models and running its most powerful cloud AI on NVIDIA GPUs hosted in Google Cloud. …
NVIDIA has introduced the NVFP4 training recipe in TransformerEngine, enabling 4-bit mixed-precision pre-training on Blackwell GPUs with no measurable accuracy loss compared to FP8 baselines. The recipe, demonstrated in …
IEEE held its annual Honors Ceremony in New York City on 24 April, celebrating engineers behind innovations including text-to-donate technology, AI-powered diagnostic tools, and the graphics processing unit. Nvidia cofou…
SK Hynix and Nvidia have entered a multi-year strategic co-development agreement to create next-generation memory technology for AI factories, GPU servers, edge workstations, and robotics platforms. The partnership expan…
Chip stocks pulled back on Tuesday as President Trump announced plans to meet with AI executives, signaling potential policy shifts in the artificial intelligence sector.
Google has purchased compute capacity from SpaceX, while Broadcom's earnings outlook and Apple's political maneuvering around AI are shaping the tech landscape. The deals signal bullish momentum for Nvidia as demand for …
XAI has formed partnerships with Anthropic and Google to provide massive datacenter capacity, with fees reaching $1.25 billion per month for 300 MW of capacity. The deals, which include cancellation clauses, are seen as …
NVIDIA and Doosan Group are expanding their collaboration to advance physical AI, robotics, and AI factory infrastructure across Doosan Robotics, Doosan Bobcat, Doosan Enerbility, and Doosan Corporation Electro-Materials…