Intelligence at the edge. Run massive parameter models locally with zero latency and absolute privacy.
Optimized for tensor operations from the ground up.
Write once, infer anywhere. Seamlessly dispatch tensor graphs to NVIDIA GPUs, AMD ROCm, or custom TPUs without changing a line of code.
Differential privacy by default. Train models on sensitive user data without ever accessing the raw records, ensuring GDPR compliance.
Run Llama-class models on 8GB RAM. Quantization and pruning pipelines optimized for consumer hardware.
Deterministic outputs. Kernel-level policy enforcement prevents models from generating harmful or hallucinated content in critical flows.