Amazon Bedrock added cross-Region inference support for OpenAI GPT-5.6 models across more than 25 AWS Regions using inference profiles that route requests to destination Regions. GPT-5.6 variants Sol, Terra, and Luna have a 1 million token context window. This lets apps scale across a larger compute pool for higher throughput (and choose US geographic or global routing) without changing the request APIs aside from using the inference profile ID.
Callosum announced a $100 million funding round to support its cloud service, Tailored Inference, for optimizing AI inference workloads. Tailored Inference claims it can complete some inference tasks 3.7 times faster than GPT-5.6 Luna while improving output quality. The funding enables it to further route task steps to different models and deploy them to the most efficient chips, including integration with Cerebras WSE-3 Turbo accelerators.
CSET’s Sam Bresnick published an op-ed in Barron’s arguing that the Trump administration’s AI strategy could shape U.S. competitiveness with China while it pushes AI and semiconductor exports under national security constraints. The op-ed focuses specifically on the Trump administration. The article points to policy changes that would affect how U.S. AI and chip exports are pursued and governed.
Supermicro’s Open Storage Summit discussion focuses on storage modernization to remove bottlenecks that limit enterprise AI readiness on legacy infrastructures. The interview cites GPU utilization averaging 30% to 50% as a key driver for choosing lower-latency, higher-performing storage stages, including QLC SSDs and NVMe over Fabrics. The work shifts enterprises toward composable, standardized storage stacks with software data orchestration and flash tiers that can feed AI workloads more efficiently and reduce data copy/migration.
The article argues that SpaceX’s proposed “AI1” orbital data center megaconstellation would create a new kind of e-waste by disposing of satellites outside recycling and, at least in part, by deorbiting them to burn up in Earth’s atmosphere. About 40,000 satellites would be deorbited under the May 29 FCC filing, and GPU lifetimes of roughly five years imply around 200,000 would be decommissioned annually. As a result, material value would be removed from Earth’s material life cycle, with dispersed re-entry debris and potential long-term ozone impact from components like aluminum.
Big Tech is shifting AI competition from improving large language models to financing and operating the AI infrastructure that supports many interchangeable models. Since the AI boom began in 2023, Amazon, Microsoft, Alphabet, and Meta have collectively put $1.1 trillion into AI infrastructure. As a result, cloud providers and Wall Street financing are capturing returns while software buyers delay purchases and some investors question whether the spending will ultimately pay off.
The Sequence publishes an opinion on how future AI scaling is governed by real-world energy systems instead of just model parameters. Issue 918 focuses on energy conversion efficiency from photons and atoms into intelligence. It reframes AI “scaling laws” to include how power, cooling, and network losses limit what the next wave can achieve.
Waymo published details about the compute “brain” inside its robotaxis, including chip architecture, processor specifications, and internal components. The system is described as performing up to one quadrillion operations per second. The disclosure adds public information about the hardware powering its driverless fleet and names hardware suppliers used for those computers.
Nebius Group announced plans to sell $4.50 billion in convertible senior notes and its attached share-exchange mechanics drove its Nasdaq-listed stock down 13% on the news. The offer includes $2.75 billion due 2030 and $1.75 billion due 2034, with options that could add up to $675 million. Investors now face earlier dilution/hedging pressure from repeated financings, even though the company still expects to fund large 2026 AI data-center and GPU buildouts.
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