How many GPUs can you cut?
Enter your model, traffic, and GPU setup. See exactly how much you save with UltraCompress vs bf16 full precision and AWQ 4-bit — in GPU count, VRAM, and monthly dollars at public cloud rates.
Memory comparison
| Method | BPW | Model VRAM | GPUs needed | PPL ratio | Verified |
|---|
Note on estimates. GPU counts assume weight-only memory. Real deployments also need KV cache, activations, and batch memory overhead. Actual savings depend on your batch size, sequence length, and serving framework. These estimates are conservative — real savings are often larger because UC's smaller memory footprint leaves more room for larger batches.
Plus: audit-grade deployment
Not just cheaper. Verifiable.
Every UC pack includes a SHA-256 manifest that proves reproducible reconstruction. The compressed artifact you validate end-to-end is provably the artifact you deploy — cryptographically. This is the verification primitive that regulated buyers need for compliance.
Want to validate these numbers on your hardware?
Phase 0 POC: bring a model, we deliver a UC pack in 5 business days. You benchmark it yourself.