Sipsa Inference – lossless serving at 50% off
SHA-256 verifiable manifests prove lossless compression mathematically, not just statistically.

4-month VAE research artifact; reconstruction quality matters less than you'd think.
ML researchers, diffusion model practitioners, computer vision engineers
Stability AI's VAE releases · OpenAI's DALL-E latent space research
SHA-256 verifiable manifests prove lossless compression mathematically, not just statistically.
Cross-corpus Zstd dictionary + per-record AES-256-GCM, but cryptography audit is missing.
5x speedup over Megatron-LM with native Kunlun XPU support.
Long-form video essay on local LLM progress when text summaries exist.
Data-oblivious quantization beats Product Quantization on online updates.
Span-based history tracking with corpus-trained zstd dictionaries beats standard dedup.