Startups Directory

Positron AI designs purpose-built FPGA-based hardware (Atlas) optimized for generative AI inference workloads, achieving 93% memory bandwidth utilization versus 10-30% in GPU systems while consuming less than a third of the power of Nvidia H100s. The company serves enterprises and cloud providers running transformer-based models at scale, from content moderation to token-as-a-service platforms. Their next-generation chip (Asimov/Titan) targets memory-intensive applications like video, trading, and multi-trillion parameter models with 6x more RAM than competing solutions.

EnCharge AI develops analog in-memory computing hardware that performs AI computations directly within memory cells, eliminating energy-intensive data movement between processing and storage. The company's EN100 accelerator delivers 200+ TOPS of AI compute in an 8.25W power envelope for laptops and workstations, achieving up to 20x better performance per watt than competing solutions. Available in M.2 and PCIe form factors, EN100 brings advanced AI capabilities to edge devices and client platforms with unprecedented efficiency.