When scalability stops being a bottleneck.

Open LoRA reshapes what's possible with inference. One single GPU can now efficiently handle over 1,000 LoRA adapters simultaneously—that's a massive leap. The kicker? Per-inference energy consumption drops by more than 99%.

Think about what this unlocks: switching between different model configurations becomes not just feasible, but genuinely fast and cheap. No more infrastructure constraints holding back dynamic model deployment. This is what practical scale looks like—when the hardware finally catches up to what we actually need.