On-demand rapid scaling of AI and ML workloads on GPU
Computer vision (CV) and natural language processing (NLP) applications can greatly benefit from the massive parallel processing performance that GPUs provide.
However, rapidly scaling of AI and machine learning workloads across GPUs in a cost-effective and reliable way is one of the biggest challenges of existing solutions.
With UbiOps data analytics teams can instantly run and scale AI and machine learning workloads on-demand, and at the same time minimize GPU costs.
UbiOps ensures that there’s on-demand GPU availability with the option to scale instantly.
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.
With UbiOps there is no need for an upfront investment in DevOps and IT.
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.
What our users think
‘’The GPU functionality has accelerated our services enormously. Our computer vision models are now 5 times faster.’’
Ruben Stam, Data Scientist at Royal BAM Group
Pay only for what you use
GPU nodes have on-demand pricing so you only pay if your model is active. You don’t need to have GPU nodes running all the time, saving a lot of money on cloud costs.
- Scale up and down rapidly and automatically on multi-GPU clusters, including scale-to-zero.
- Make your application ready for peak workloads while remaining cost-efficient.
UbiOps is Nvidia Premier Inception partner and joined NVIDIA AI Accelerated Program
We are working together with Nvidia to help our users make the most out of GPU acceleration for their AI models and workloads.
Run your models on our Nvidia CUDA-enabled runtimes and install your own dependencies on top.
Why choose UbiOps?
Built for running AI & ML solutions at scale
UbiOps lets you run, manage and scale all your data science, AI & ML workloads from one place.
Run models on multi-node GPU and CPU clusters and scale to and from zero for efficient resource usage. Save costs and scale your application automatically.
Save countless hours on IT and cloud engineering
UbiOps removes the need for tying together and maintaining your own serving infrastructure. Saving countless hours of cloud engineering and IT work.
UbiOps can be used as SaaS tool, but we also support secure on-premise installations.
UbiOps is ISO27001 certified, and is used by large multinationals such as Bayer AG and Royal BAM Group, and European government organizations such as the National Cyber Security Centre that require the highest standards in terms of reliability and security.
Book your personalized demo
Get to know UbiOps: your turn-key production environment to deploy your machine learning models and run training jobs