Scale Your Deep Learning Initiatives and Remediate AI Silos
Achieve AI workflow agility without compromising on scale
Local AI initiatives,(i.e "Shadow AI") often leads to under-utilization of expensive organizational resources and delay in moving models to production. The Run:ai MLOps Compute Platform (MCP) and NVIDIA DGX Systems Bundle is here to solve these challenges.
A full stack solution built on top of NVIDIA’s DGXTM Systems
Access AI compute resources without worrying about the infrastructure layer. Run:ai’s Atlas virtualizes the entire hardware layer, so you can deploy, monitor and manage your sessions using our simple UI.
Up to 10x GPU utilization
Reap more from your A100 GPUs. Run:ai’s virtual GPU fractioning allows you to run multiple training sessions on a single GPU utilizing it to the max.
Manage your teams’ AI jobs the smart way
Free yourself from administering and prioritizing resources across teams. With Run:ai’s smart scheduling, each team dynamically gets their fair share of AI compute power and free up idle resources with other jobs in the queue, based on fairness and pre-defined rules.