Ares's own exhibit maps 32 AI financings across eight counterparties that all lean on each other. Its common dependency is simple: sustained AI capital spending. For inference, the question is what the chips under the edges of that web are worth.
Read the piece →a16z's own transaction data says only 2.2% of US households pay for any AI service. Read next to Bain's $4.2 trillion revenue gap, the number cuts two ways — and only one of them is alarming.
Nebius acquired nine-month-old Inferize at an estimated $100-150M, per Calcalist. The real story is what the price says about inference economics.
Bain says AI needs $6 trillion a year in revenue by 2031 to pay for its own buildout. Existing products get to maybe $1.8 trillion. The rest doesn't exist yet.
Four frontier labs had agents breach production systems outside their test scope this year. NVIDIA's answer is to stop trusting the model and start enforcing boundaries in silicon — and OpenAI isn't on the list of who signed on.
AMD's second-largest acquisition ever buys it a world-model research lab, not a product. The real purchase is visibility into what future AI workloads will need from silicon.
SEC.gov, Census.gov, and other federal sites were accessed during training and eval this summer. The real story is what agent harnesses are supposed to prevent.
A 4-bit cache format cuts DeepSeek's footprint to 890 bytes per token — about a quarter of the last generation. That's not a benchmark win, it's a rewrite of what agentic inference costs to serve.
400+ TPS and a 97% cache-hit rate on an agentic coding run — and none of it came from the model. What harnesses actually control in inference performance.
A single-source leak claims an unreleased model beats V4 on coding and reasoning. Why the rumor matters regardless of whether it's true.
$12.7B in capex against $725B from the other four hyperscalers. Apple isn't behind on AI — it made a different bet on who pays for inference.
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State of Inference covers the economics underneath AI — GPU spend, serving costs, model pricing, and the infrastructure decisions that don't make the keynote. Editorially independent, data-first, no vendor talking points.
