Summary by TwinMind · 5m 14s
Summary by TwinMind · 5m 14s
$10B OpenAI & Microsoft Cluster in 2025 – Dylan Patel & @Asianometry
$10B OpenAI & Microsoft Cluster in 2025 – Dylan Patel & @Asianometry
Dwarkesh Patel
Dwarkesh Patel
Training Regime Parallelization Evolution
- Training compute shifting toward synthetic data generation and search processes
- Post-training techniques emerging to utilize available compute capacity
- Multi-data center training becoming viable solution for scale
Microsoft-OpenAI Infrastructure Expansion
- Microsoft signed $10+ billion deals with fiber companies (Lumen, Zayo, others)
- Permits filed for inter-data center connections
- 5 regions being connected comprising multiple data centers each
- Total power consumption: north of 1 gigawatt (close to 1 million GPUs)
GPU Power Consumption Scaling
- H100 GPU: 700W base, 1,200-1,400W total system power
- Next-gen Nvidia GPUs: 1,200W base, 2,000W total system power
- Power per GPU increasing with each generation
Current and Planned Cluster Deployments
- Existing 100K H100 clusters:
- OpenAI in Arizona
- xAI in Memphis
- Multiple others under construction
- Planned GB200 clusters:
- 5+ planned 100K GB200 clusters by Microsoft/OpenAI partners
- Potential 500K GB200 cluster (1 gigawatt capacity)
- Timeline: online next year
2025-2026 Scaling Projections
- 2025: 100K GPUs largest current cluster
- Next year: 300K-500K GPUs per cluster (up to 700K upper bound)
- GB200s are 2-3x faster than H100s
- H100-equivalent basis: 1 million chips next year in single cluster
- Multi-site efficiency loss: 20-50% (exact figure unknown)
Long-term Infrastructure Plans
- 2026: Single 1-gigawatt site planned
- Microsoft 5-gigawatt total capacity across multiple locations
- Each location: multiple sites, some single sites
- Total capacity: easily north of 2-3 gigawatts
- Integration of old chips with new chips under consideration
Financial Requirements
- OpenAI needs $50-100 billion funding for planned cluster scale
- Expected fundraising: end of 2024/early 2025
- Sam Altman's strengths: recruiting and fundraising capabilities
Competitive Landscape
- Anthropic has similar plans with Amazon
- Multiple providers involved: QTS, Cooper, others
- Self-built data centers also being constructed
- Old crypto mining sites being repurposed (CoreWeave Texas, Oracle Crusoe Texas)
- Locations: Wisconsin, Arizona, Texas, others
