
Inference.ai
Virtualize and fractionalize GPUs to exponentially scale your AI and machine learning workloads.
Inference.ai provides GPU virtualization technology designed to significantly increase the number of workloads that can be run on existing GPU infrastructure. By fractionalizing GPUs, the platform allows users to optimize their hardware utilization, enabling more concurrent tasks and experiments without requiring additional physical GPUs. This solution is ideal for AI researchers, machine learning engineers, and data scientists who need to accelerate their development cycles, manage multiple projects simultaneously, and maximize the efficiency of their computational resources. The core benefit is the ability to achieve a 10x increase in workload capacity, leading to faster iteration, reduced costs, and improved productivity in demanding AI/ML environments. The platform offers a console for accessing and managing these virtualized GPU resources. This allows users to provision and de-provision fractionalized GPUs as needed, providing flexibility and scalability for various computational demands. It addresses the common challenge of underutilized or inefficiently allocated GPU resources in AI development, making high-performance computing more accessible and cost-effective for a wider range of projects.




