Baynetics AI Processor – Bayesian AI Accelerator
A hybrid AI processor platform that combines NVIDIA GPU systems with FPGA-based Bayesian acceleration to optimize probabilistic computing, uncertainty-aware AI, and hybrid deep learning workloads. Baynetics accelerates Bayesian Networks, Adaptive Bayesian Networks, distribution sampling, variational inference, and supports custom probability distributions—including Gaussian, Student-t, Beta, and Dirichlet models—through a high-performance PCIe/DMA-connected FPGA accelerator processor tightly integrated with GPU and CPU environments. The platform includes a PyTorch-compatible software stack with APIs, device drivers, and libraries that enable hybrid Deep Learning + Bayesian AI architectures such as Bayesian Neural Networks (BNNs) and Variational Neural Networks (VNNs). Designed for edge and cloud deployments, Baynetics supports NVIDIA Jetson edge devices and NVIDIA data center GPUs while providing scalable acceleration for multi-hypothesis tracking, uncertainty quantification, and real-time probabilistic decision support. By offloading probabilistic inference and uncertainty-management operations from Nvidia GPUs, Baynetics delivers up to 100× performance improvements in select workloads while improving prediction confidence and risk-aware decision making for mission-critical AI applications.