10 stories on Chips & Infrastructure.
Fireworks told its first company conference it serves more than 40 trillion tokens daily to customers' customized models, a slice it says grew over 2x since summer.
Why it matters: Hosted inference for customized open models is growing quickly, so companies weighing open versus closed model APIs now have a larger, more established set of hosting options.
AI companies are turning retired jet engines into natural gas generators, and xAI has installed eight converted turbines at its Mississippi data center.
Why it matters: Data center operators facing grid delays may turn to repurposed turbines, but the efficiency and emissions trade-offs can create permitting and reputational risk.
AI infrastructure stocks fell overnight after Hinojosa, who campaigned on a moratorium on new Texas AI data center development, defeated Governor Greg Abbott.
Why it matters: Buyers who plan private deployments or rely on cloud providers may face location-related capacity and pricing risk if Texas restricts new data centers.
Factories are prioritizing complex, higher-priced boards for AI servers, and one Taiwanese maker says laminate prices are at least 12 times their July level.
Why it matters: Board shortages can delay or raise the price of PCs, cameras and medical equipment even when chips are available, so hardware buyers should plan for longer lead times.
An analysis describes the Marvell and Lumentum combination as an optical interconnect consolidation with AI networking implications.
Why it matters: Consolidation in optical interconnects could affect the supply and pricing of networking components that AI clusters depend on.
SemiAnalysis says 2027 datacenter capacity is largely locked in, while a prolonged Texas permit freeze is now the top risk to 2028.
Why it matters: Companies planning capacity for 2028 may face permit delays in Texas, which makes siting options and supplier commitments more important.
OpenAI says its Grid Protectors Program will work with utilities so future compute campuses support grid reliability and protect consumer electricity costs.
Why it matters: Companies planning large AI compute sites may face closer coordination with utilities on grid reliability and how new demand affects electricity prices.
OpenAI is weighing a new name for its data centers as part of a public relations push planned after the midterm elections.
Why it matters: Local opposition to data centers is becoming a political issue, so companies planning new AI infrastructure may need to show concrete community benefits.
Google's Project Suncatcher prototype ran its Gemma 4 open model in orbit to generate a haiku, testing solar-powered computing in space.
Why it matters: Space-based computing is still at prototype stage, so most companies cannot count on it for near-term AI workloads.
Foxconn chairman Young Liu says the company holds about 40% of the global AI server market.
Why it matters: Concentration of AI server manufacturing in one supplier affects pricing, lead times and supply risk for companies buying AI infrastructure.