Shift happening: devs ditching API rent-seeking for full model ownership. Minimind blowing up (600+ stars/day) lets you train a 64M param LLM from scratch in 2 hours on consumer GPU.
The real unlock? Scaling this DIY approach to 7B/70B/320B params without needing a datacenter. That's where distributed training infra like Ravnest comes in—making massive model training accessible without AWS bills that'll bankrupt you.
Why it matters: training your own model = zero vendor lock-in, full control over data/weights, no usage caps. The bottleneck isn't code anymore, it's coordinating compute across decentralized hardware at scale.
The real unlock? Scaling this DIY approach to 7B/70B/320B params without needing a datacenter. That's where distributed training infra like Ravnest comes in—making massive model training accessible without AWS bills that'll bankrupt you.
Why it matters: training your own model = zero vendor lock-in, full control over data/weights, no usage caps. The bottleneck isn't code anymore, it's coordinating compute across decentralized hardware at scale.