A production-grade framework for building, training, and serving neural networks with hardware-accelerated security built in.
Multi-precision tensor operations with automatic differentiation and JIT compilation
Hardware-accelerated cryptography, memory hardening, and tamper-evident audit logging
ZeRO-1/2/3, pipeline/tensor/expert parallelism with NCCL communication
Pre-configured LLaMA, Mistral, Qwen2, and DeepSeek V2 with weight converters
INT8/INT4/FP8, AWQ, GPTQ — deploy models with minimal precision loss
Continuous batching, quantized inference, REST API, and CLI tools
Eight layers spanning from bare-metal kernels to hardware backends
Tensor engine, automatic differentiation, memory pool, thread pool
ARC, SER, HSS, NPE, FM algorithms
LLaMA, Mistral, Qwen2, DeepSeek V2 configs & weights
Distributed (ZeRO/TP/PP/EP), mixed precision, gradient checkpoint
INT8/INT4, FP8, AWQ, GPTQ inference optimization
Continuous batching, quantized serving, CLI tools
Crypto, memory hardening, network security, RLHF safety
CUDA (Flash Attention, GEMM), CPU fallback, ROCm, Vulkan
Start building secure, production-grade AI systems today.