Tech

20VC: Who Wins the Inference Market | Has Open-Source LLM Inference Peaked? | What Happens to the Cost of Compute | The Real Limits of Post-Training and RL with Erik Bernhardsson, Modal CEO

Read full article at source ↗

Based on the episode description, not a full transcript. Source evidence retrieved 02/11/2026, 07:47:26 UTC.

Briefings

Erik Bernhardsson, CEO of Modal, discusses the future of AI inference markets, open-source LLMs, and the economics of GPU infrastructure. The company raised $1.2B with a $15.75B valuation, growing ARR over 15x. Key topics include whether open-source inference has peaked, the cost of compute, and the viability of custom silicon versus NVIDIA's CUDA moat.

Key points

• Modal raised $750 million in Series D led by Accel at a $15.75 billion valuation.
• Modal's ARR surpassed $1 billion, growing more than 15x year-on-year.

Context

Erik Bernhardsson, Co-Founder and CEO of Modal, the AI infrastructure platform for training models, running inference, and powering AI agents, discusses the future of AI inference markets, open-source LLMs, and the economics of GPU infrastructure.

Limitations

Evidence covers only the podcast agenda and Erik's Q&A topics. Specific financial figures, market share data, or causal claims regarding open-source adoption are not provided in the source text.

Generated by Bittrees-hosted qwen35-2b sha256:aaf42c8b7c3c on 02/11/2026, 08:45:49 UTC. Based on publisher-provided feed evidence; may not cover the full original article. Check the source for details.

View archived briefing on IPFS
bafybeiaxnqbhl3em5en2pmifmgwj3rfb6kveuqzejaxn73dp3cqtn3xayq