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The Register reports that Cerebras, Google, Marvell and Waymo are pursuing specialized silicon to improve AI inference speed, power use or latency, although the underlying disclosures and commercial deployments are not independently confirmed here.
Newswise reports that researchers at SLAC National Accelerator Laboratory developed a neural-network method that can compress scientific data while preserving fine details and allowing users to decode only selected regions.
MarkTechPost reports that Meta introduced MetaRoCE, a proposed RDMA transport designed for large AI clusters that tolerates packet loss and shifts ordering and recovery work to network interface cards. The outlet says the protocol was tested on AMD Pensando programmable NICs, but its specification and broader…
Cornell Chronicle reports that Cornell researchers developed a statistical method to distinguish company-specific AI-related stock bubbles from ordinary volatility, finding strong overvaluation signals for Alphabet and earlier bubble episodes in semiconductor stocks, Tesla and cryptocurrency.
The Information reports that Nvidia has discussed investing in Perplexity at a valuation above $30 billion and is considering a technology-licensing deal. The discussions are not independently confirmed as completed transactions.
Data Center Dynamics reports that Australian firm FlexSysAI has launched a platform that shifts AI workloads between locations in response to electricity-market and grid conditions, with initial trials planned in Australia.
EU-Startups reports that London-based Embedd raised €2.3 million in pre-seed funding to develop software infrastructure that helps semiconductor companies integrate chips into systems intended for physical AI.
Forbes reports that SemiAnalysis’s AgentX benchmark found Nvidia hardware substantially more cost-efficient than AMD on long-context, multi-turn coding-agent workloads, while warning that results vary by model, serving stack and software version.
Tom’s Hardware reports that Intel disclosed additional architecture details for Crescent Island, a 350-watt, air-cooled AI accelerator designed primarily for inference and compute-intensive workloads.
NVIDIA announced Jetson Orin Nano 2, a compact robotics computer it says delivers twice the inference performance of Jetson Orin Nano Super while using 40% less power at the same performance in 15-watt mode. The module and developer kit are expected in the first half of 2027.
Stability AI says it has raised $76 million in Series B funding from investors including Electronic Arts, Sony Music Group, Universal Music Group, Warner Music Group, AMD Ventures and Pacific Alliance Ventures.
Firstpost reports that OpenAI’s custom Jalapeño inference chip delivered higher speed and energy efficiency than Nvidia Blackwell-based systems in company-run tests, with limited deployment planned by the end of 2026 and broader rollout in 2027.
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