Google's data centers are processing seven times more AI tokens than last year, driven by the rise of agentic AI workloads, according to Mark Lohmeyer, vice president and general manager of AI and com…
Alphabet raised its 2026 capital expenditure guidance to $195–$205 billion, up from $180–$190 billion, and reported Q2 revenue of $119.8 billion, up 24% year-over-year. CEO Sundar Pichai confirmed a f…
Google is developing a new AI chip called 'Frozen v2' that could run its Gemini AI model six to ten times more efficiently than current Tensor Processing Units (TPUs), according to a report from The I…
Alphabet is developing an inference chip code-named 'Frozen v2' that hardwires Gemini's architecture into silicon, according to a report by The Information. Google engineers project the chip will deli…
Google's Tunix post-training library introduces a high-throughput framework for agentic reinforcement learning that keeps TPUs fully utilized during multi-turn training. Tunix uses an asynchronous tra…
Ray 2.55 makes Google Cloud TPUs a first-class accelerator, with official pre-built images and support across core libraries. The distributed-computing framework now treats TPU slices as schedulable r…
Google is developing a new server chip informally called 'Frozen v2' that will hardcode the architecture of its Gemini AI model directly into silicon, aiming to achieve 6 to 10 times greater efficienc…
Alphabet shares rose as much as 2% to $353.12 on July 20 after The Information reported Google is designing a server chip called Frozen V2 that hardwires Gemini's neural network architecture into sili…
Google Cloud Vice President of Technology and Customer Engineering for APAC Moe Abdula said the company has not faced infrastructure supply constraints amid surging AI demand, citing strong supplier p…
Google announced Gemma 4 E2B for TPU, a model optimized to run natively on the Pixel 10's Tensor G5 TPU, at I/O Connect India. The multimodal model enables offline AI chat, image identification, and a…
Google's TPU clusters use 2D or 3D torus topologies with 4 or 6 nearest neighbors per chip, while NVIDIA GPU clusters rely on fat-tree topologies over InfiniBand, according to a July 14, 2026 technica…
Google Cloud has been named a Leader in the inaugural 2026 Gartner Magic Quadrant for AI Infrastructure, positioned highest for Ability to Execute and furthest for Completeness of Vision. The recognit…
Google Cloud demonstrated elastic training on TPUs, where a worker failure during multi-node LLM training was recovered in under two minutes without restarting the job. Using the JAX AI stack (MaxText…
Argus maintained a Buy rating on Alphabet on June 23, 2026, with a $440 price objective, reinforcing investor confidence in Alphabet's AI, cloud, and compute-infrastructure spending. The analyst note …
Chris Lattner created MLIR (Multi-Level Intermediate Representation) in 2018 at Google to solve the problem of fragmented compiler infrastructure across different hardware targets and programming mode…
Google told Meta around March that it could not meet the full Gemini AI capacity Meta sought to purchase, delaying some of Meta's internal AI projects. The shortfall underscores how compute scarcity i…
Alphabet is expanding its Tensor Processing Unit (TPU) business through a $5 billion joint venture with Blackstone to build 500 MW of TPU compute capacity by 2027, as Google Cloud revenue is projected…
OpenAI and Broadcom unveiled Jalapeno, OpenAI's first custom ASIC designed specifically for large language model inference, marking a shift from general-purpose GPUs to specialized silicon to address …
A developer recommends Unsloth as the most cost-effective method for fine-tuning small language models in 2026, citing its ease of use and low VRAM requirements compared to the theoretically cheaper b…
OpenAI unveiled Jalapeno, its in-house LLM inference accelerator chip developed with Broadcom, achieving tape-out in nine months. The chip is designed to accelerate inferencing for OpenAI's LLM stack …