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▶ 5:47 · Open Source AI · Open weights critical for enterprise sovereignty and safety research
episode briefing
SemiAnalysis

Training a 400B Model on 2,048 Blackwell GPUs for $20M | Researcher Conversations at GTC

2026-07-15 · 1 company · 4 thematic
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speakers
lucas atkins

Lucas Atkins is CTO and head of research at RCAI, an AI research company focused on pre-training open-weight models for developers and enterprises. He previously worked on post-training of open-source models like Mistral and Qwen.

now playing · Open Source AI
Open Source AItailwindscore 8/10lucas atkins
Open weights critical for enterprise sovereignty and safety research
Enterprises need full control over model pipeline to avoid vendor lock-in and margin pressure; open weights enable transparent safety research beyond the few hundred researchers at frontier…
AI Talent & Labor Markettailwindscore 6/10lucas atkins
Small open labs attract talent by offering full-stack ownership and visibility
Researchers prefer small open-weight labs where they own the entire training pipeline and see their work published, unlike at large frontier labs where work is siloed and only visible via A…
AI Economics & Business Modelstailwindscore 7/10lucas atkins
Open model labs should undercut frontier labs on cost/speed for 80% of tasks
Open-weight labs shouldn't chase frontier benchmarks like theorem proving; instead they should optimize for reliability, speed, and cost on economically viable tasks, requiring far less com…
AI Hardware & Chip Architecturemixedscore 6/10lucas atkins
B300 GPU adoption limited by immature kernel ecosystem despite availability
RCAI chose B300s for speed but faced lack of optimized kernels and at-scale benchmarks; relied on DeepSeek's Hopper-era sparse kernels as performance reference, highlighting software maturi…