Machine Learning Accelerators

Run:AI builds a virtualization layer for AI workloads. By abstracting workloads from the underlying infrastructure, Run:AI creates a shared pool of resources that can be provisioned on the fly, enabling full utilization of expensive GPU to compute. IT teams retain control and gain real-time visibility – including seeing and provisioning run-time, queuing, and GPU utilization – from a single web-based UI. This virtual pool of resources enables IT leaders to view, allocate, and compute resources across multiple sites.

Latent AI is an early stage venture spinout of SRI International dedicated to building solutions to transform AI processing. The Latent AI Efficient Inference Platform (LEIP) brings AI to the edge by optimizing for compute, energy, and memory without requiring changes to existing AI/ML infrastructure and frameworks.

OctoML offers efficient and secure deployments of machine learning and deep learning models as a managed service.

Deci builds synthetic data sets to supplement data when more is needed to build AI and machine learning models. Deci’s deep learning platform enables data scientists to transform their AI models into production-grade solutions on any hardware, crafting the next generation of AI for enterprises across the board.

Deeplite is an AI software company dedicated to enabling AI for everyday life. Deeplite uses AI to automatically make other AI models faster, smaller and more energy-efficient creating highly compact, high-performance deep neural networks for deployment on edge devices such as cameras, sensors, drones, phones, and vehicles.

Neural Magic develops an inference engine that data scientists can run on computers running CPUs, rather than specialized chips like GPUs or TPUs.