Post-training and self-hosted inference costs are falling fast; low precision is the future
ypatil125 · x · 2026-11-10
The author argues that the cost of post-training and serving your own models is dropping rapidly, with the mission of putting powerful infrastructure in the hands of every Applied AI team. The quoted thread adds that low precision is the future: frontier open models like 4.1 Flash and K3 already serve inference at low precision, and training (forward, backward passes, even optimizer states) will soon move to 8-bit and 4-bit regimes.
Related event: Low Precision Becomes the Trend for AI Inference and Training(2 posts)→
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