Instantly scale AI workloads on GPUs

Scale up and down rapidly and automatically across multi-GPU clusters, and minimize GPU costs at the same time

On-demand rapid autoscaling of AI workloads on GPUs

GenAI and computer vision applications greatly benefit from the massive parallel processing performance that GPUs provide.

However, rapidly scaling of such workloads across GPUs in a cost-effective and reliable way is one of the biggest challenges for AI teams.

With UbiOps AI teams can instantly run and scale AI workloads on-demand, and at the same time minimize GPU costs

Instant scaling

UbiOps ensures that there’s on-demand GPU availability with the option to scale instantly.

Pay-as-you-go

UbiOps’ scale-to-zero functionality ensures that you don’t need to pay for GPU resources if your application is not processing data. Saving your team from under- and over-provisioning of GPUs.

No DevOps

With UbiOps there is no need for an upfront investment in DevOps.

High throughput

UbiOps is designed for high throughput, real-time workloads and reliable processing with 99.99% uptime.

Speed up your workloads with GPUs on UbiOps

Enable GPU with the click of a button

To switch between CPU or GPU nodes you only need to check a box. It’s that easy.

Deploy your code easily

With UbiOps you can deploy your data science code to production in no-time using our browser UI, CLI or Python/R clients.

Nvidia CUDA enabled runtimes

Make us of our pre-built runtimes to get started quickly. Easily install other packages and dependencies on top.