
SiWave provides straightforward, high-performance ML inference for hardware accelerators. It develops ML inference models optimized for FPGAs and ASICs, leveraging FPGA-accelerated libraries and kernel-level optimizations to speed up AI workloads. The company operates in the B2B space, delivering hardware-software acceleration for enterprise AI deployments. Its technology focuses on core inference models and hardware-specific optimizations to meet latency and throughput requirements. SiWave targets AI data centers and embedded systems markets with growing demand for hardware-accelerated AI inference.

SiWave provides straightforward, high-performance ML inference for hardware accelerators. It develops ML inference models optimized for FPGAs and ASICs, leveraging FPGA-accelerated libraries and kernel-level optimizations to speed up AI workloads. The company operates in the B2B space, delivering hardware-software acceleration for enterprise AI deployments. Its technology focuses on core inference models and hardware-specific optimizations to meet latency and throughput requirements. SiWave targets AI data centers and embedded systems markets with growing demand for hardware-accelerated AI inference.