More capability per compute cycle. A fine-tuned 7B parameter model running on your GPU can outperform a 400B cloud model on your specific tasks — at 1/10th the cost, 10x the speed, with zero data exposure.
cheaper per query
faster inference
params often enough
per query on-prem
Match model size to task complexity. Not every problem needs a frontier model. Most need a well-tuned specialist.
We test models against YOUR data, not generic benchmarks. Real performance on your tasks, not marketing claims.
Llama 3 8B, Qwen 2.5 7B, Phi-3 Mini. Models that run on a single GPU and rival models 50x their size on domain tasks.
4-bit, 8-bit quantization. Flash attention. Speculative decoding. Maximum inference speed with minimal quality loss.
Transfer knowledge from large teacher models to small student models. Custom distillation for your specific use cases.
Detailed cost per query analysis across model sizes and deployment options. Find the sweet spot for your economics.