2 posts
The pure-Rust NVIDIA CUDA Toolkit replacement adds nine new GPU deep-learning crates — generative diffusion, graph neural nets, Mamba SSMs, vision transformers, audio/speech, time-series, Bayesian DL, federated learning, and NAS — growing to ~320K lines across 37 crates with 9,568 passing tests. No CUDA SDK, no nvcc.
Kizzasi 0.1.0 is the first release of an Autoregressive General-Purpose Signal Predictor (AGSP) in Pure Rust — neuro-symbolic prediction for audio, sensors, robotics, and video that fuses State Space Models (Mamba/RWKV/S4) with TensorLogic constraints.