Instantly scale AI and machine learning workloads on GPU on-demand
Scale up and down rapidly and automatically across multi-GPU clusters, and minimize GPU costs at the same time
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.
Speed up your workloads with GPUs on UbiOps
What our users think
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 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.
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.
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Get to know UbiOps: your turn-key production environment to deploy your machine learning models and run training jobs