San Francisco Compute: Affordable H100 Compute for Startups and Researchers
Analysis
This Hacker News post introduces a new compute cluster in San Francisco offering 512 H100 GPUs at a competitive price point for AI research and startups. The key selling points are the low cost per hour, the flexibility for bursty training runs, and the lack of long-term commitments. The service aims to significantly reduce the cost barrier for AI startups, enabling them to train large models without the need for extensive upfront capital or long-term contracts. The post highlights the current limitations faced by startups in accessing affordable, scalable compute resources and positions the new service as a solution to this problem.
Key Takeaways
- •Offers affordable H100 compute for AI startups and researchers.
- •Provides flexibility for bursty training runs.
- •Eliminates the need for long-term contracts.
- •Aims to significantly reduce the cost barrier for AI startups.
“The service offers H100 compute at under $2/hr, designed for bursty training runs, and eliminates the need for long-term commitments.”