DeepSeek releases DSpark, a free open-source AI framework that boosts large language model inference speeds by up to 85% using confidence-scheduled speculative decoding, delivering over 50% throughput gains in live production and supporting popular open-weight models like Qwen and Gemma.
Claude AI models, including Opus 4.8 and Haiku 4.5, are now live on Microsoft Azure Foundry, giving enterprise teams advanced reasoning, coding, and agentic workflow capabilities with seamless Azure security, billing, and governance integration.
Browser Use, the open-source Python library with 102K GitHub stars, launches version 0.13 featuring a Rust-powered AI agent that completes web tasks 3-5x faster, supporting top frontier LLMs from OpenAI, Anthropic, and Google with state-of-the-art accuracy.
Cursor launches a native iOS app in public beta, enabling developers to start, monitor, and control AI coding agents remotely from their phones, complete with push notifications, Live Activities, diff reviews, and pull request merging — with cloud agents running in isolated VMs and a 75% discount on Composer 2.5 …
Google is restricting Meta's access to its Gemini AI models due to a computing capacity shortage, disrupting Meta's internal AI projects and forcing staff to use AI tokens more efficiently, with several other Google clients also feeling the impact.
Coder now enables enterprises to run Claude Code inside self-hosted, remotely managed cloud workspaces, eliminating local machine security risks by offering pre-hardened environments with centralized governance, audit logging, and the ability to scale thousands of parallel AI agents securely.
Qualcomm surges 15% after unveiling its Dragonfly C1000 data center CPU for agentic AI, nearly doubling its non-handset revenue forecast to $40 billion by fiscal 2029, with Meta signed as a launch customer and $15 billion targeted from data center sales alone.
OpenAI unveils its first-generation AI inference chip, Jalapeño, developed with Broadcom, already powering GPT-5.3-Codex-Spark workloads with superior performance per watt, reducing reliance on Nvidia while positioning OpenAI as a major player across the entire AI hardware and datacenter stack.
OpenAI and Broadcom unveil 'Jalapeño,' a custom AI accelerator chip purpose-built for LLM inference that reportedly breaks speed records with a nine-month development cycle and delivers superior performance per watt, with deployment planned by end of 2026.
OpenAI and Broadcom announce a landmark multi-year partnership to co-develop and deploy 10 gigawatts of custom AI accelerator chips by 2029, with rack deployments beginning in 2026 to meet surging global AI demand for OpenAI's 800 million weekly active users.