Introducing the Atom Project
What it is.
The Atom Project is our Transformers Key-Value Cache compression system, that allows extremely long context lengths in under 13.8% of the original Key-Value caches total VRAM Usage.
The Benchmarks
Currently, we have validated and benchmarked the Atom system.
7.24× compression | 86% memory savings | Zero artifacts
Benchmarked Across Leading Models
Qwen2.5-3B
Llama 3.2-3B
Phi-3 Mini 4K Instruct
Mistral 7B
Compressed variant outperformed the original model's KV Cache in 3/8 rigorous tests
Real-World Impact
10,000 token context:
- Standard: 97 MB
- With Atom: 13 MB
- 84 MB saved per conversation
Enables: 7× longer contexts or 7× more concurrent users in same memory
Validated Quality
- ✓ Zero repetition artifacts
- ✓ Superior context integrity
- ✓ <1% latency overhead
- ✓ Production-ready
Our Outlook for Atom
We are beginning our roll-out for the Atom system, and are seeking credible third party evaluators to validate the system under NDA (Non-Disclosure Agreement), as well as currently open to licensing opportunities with AI Labs and companies with large compute costs.
Our goal with Atom is to cut the costs of AI Inference to allow the field to progress with less compute and more savings.
