The Linux Foundation's new Tokenomics Foundation claims it will bring order to spiraling AI costs. But with frontier model providers conspicuously absent and token pricing growing more complex by the quarter, the initiative reveals more about what enterprises can't control than what they can.
Everyone's focused on GPUs for AI, but the shift to autonomous agents is quietly turning compute on its head. The bottleneck isn't model inference anymore—it's orchestration, sandboxing, and tool execution. All CPU workloads.
Snowflake is betting big on AI with a $6 billion, five-year commitment to AWS for compute and GPU resources. Under CEO Sridhar Ramaswamy, the data warehouse company is repositioning itself as an AI platform, leveraging cost-efficient Graviton processors to subsidize expensive model training workloads.
While Elon Musk battles Sam Altman in federal court, he just rented his entire Memphis AI supercomputer to Anthropic. The deal exposes how compute capacity—not model performance—now defines competitive advantage in frontier AI.