Cohere moves to NVIDIA Blackwell, cutting token costs and TTFT by 30–50%
cohere · x · 2026-09-10
- NVIDIA released an "AI Tokenomics" white paper framing inference economics in four pillars: token utility, demand forecasting, supply optimization, and monetization, with case studies on Cohere, Perplexity, and Canva plus a demand-forecasting worksheet.
- Core thesis: data centers are becoming "token factories"; inference is now the dominant workload, and enterprises must learn to produce, manage, and monetize tokens.
- Cohere's case study claims that moving production workloads to NVIDIA Blackwell lowered token costs, increased throughput, and cut time-to-first-token by 30–50% on many workloads.
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