Costs
Google runs AI in orbit. Can it run a data center there?
A Google satellite has returned a Gemma 4 response. Beyond the haiku, Suncatcher tests the power, cooling and communications needed to keep computing in space.
Costs & the Economics of Inference
Costs: what AI inference really costs
Cost per token, GPU cloud pricing, H100/H200/B200 rental, the cloud / local / edge trade-off: the real economics of AI inference, with the numbers.
10 articles
Articles: Costs
Costs
GPU cloud in France and Europe: choosing an H100, H200 or B300 instance
Compare exact instance sizes, GPU counts, regions and operating costs before renting a European GPU server from Scaleway, OVHcloud or another provider.
Costs
LLM inference cost: when can a GPU beat an API?
Calculate API and self-hosted inference costs with a fixed quality target, input/output mix, full operating cost and a server capacity check.
Costs
Alibaba wants to supply the chip, model and cloud. What choices remain?
Alibaba is bringing chips, models and agent services together. Open weights preserve some choice; adaptations and application state determine what can move elsewhere.
Costs
Google and NVIDIA want more data centres connected by promising flexible demand
Google, NVIDIA and Emerald AI want power flexibility to unlock faster grid connections. Who guarantees the promised reductions?
Costs
NVIDIA wants to buy Hugging Face: who will control open AI distribution?
NVIDIA promises to keep Hugging Face open. Who will shape the easiest paths to choosing and deploying a model?
Costs
MLPerf Endpoints: can inference providers finally be compared?
MLPerf Endpoints measures an inference service through its API at several load levels. Version 0.7 finally traces the curve between throughput, TTFT, TPOT and quality, but it does not normalize cost yet.
Costs
What stops a driving model from crossing a border
A driving model is a function of its data distribution. But the cost of moving it is not where intuition puts it: perception recalibrates for almost nothing, behaviour does not, and validation dominates everything. The entry price for a market is a simulation bill.
Costs
Stargate, Spud and subscriptions: the compute lever behind OpenAI's comeback
10 gigawatts 'secured years ahead of schedule', 0.3 gigawatt plugged in at Abilene. Behind OpenAI's comeback in AI coding, a compute bet that must be read in three states: the secured, the built, the plugged-in. And a subscription economics that agents cracked open.
Costs
GPT-5.6 and the Codex merger: anatomy of OpenAI's comeback
On July 8, 2026, OpenAI disavowed the reference benchmark for agentic coding. On the 9th, it merged Codex into the ChatGPT app and launched GPT-5.6. Behind the sequence, a comeback that turns less on intelligence than on prices, subscriptions and the harness.