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CME Group is launching futures contracts tied to AI computing power, allowing companies to trade and hedge GPU rental costs based on Silicon Data indexes.
TinyGrad shows off the first tinybox pro v2 black, a $160k machine now available for preorder with shipping in 2-4 weeks, and shares GLM-5.2 benchmarks in the thread.
A report on building the world's first cluster of AMD Ryzen AI Halo processors, which turns out to be underwhelming despite its novelty.
NVIDIA announces the Jetson T3000 and T2000 modules based on the Thor architecture, delivering powerful AI compute for mainstream robotics and edge AI applications, with adoption by leading robotics companies.
Kalshi has created a tool that plots the future price of computing power using prediction markets, aiming to build a forward curve for GPU rental costs.
Meta is developing an internal cloud initiative to sell surplus AI computing power and hosted models to external developers, challenging established cloud providers like AWS, Azure, and Google Cloud.
A comparison between a single RTX Pro 6000 GPU and two DGX Spark systems for AI compute tasks.
GPU utilization in the AI industry is generally below 50%. Former a16z partner Anjney Midha founded AMP, aiming to dispatch computing power like electricity to improve utilization efficiency. The article also discusses Anthropic's success strategy, DeepMind's paper hoarding problem, and the correct approach for non-NVIDIA chips.
Alex Gupta suggests the AI computing era is shifting from mainframe-like data centers to personal hardware, as exemplified by NVIDIA's RTX Spark Superchip for personal AI agents and gaming.
A user asks how people are earning money with local LLM setups, given the high cost of GPU rigs, and explores potential career opportunities in hardware.
OpenAI announces The Stargate Project, a $500 billion infrastructure investment over four years to build AI computing capacity in the United States, with initial funding from SoftBank, OpenAI, Oracle, and MGX, beginning deployment with $100 billion immediately.