Vultr, a cloud computing company, and Domino Data Lab, a provider of an Enterprise MLOps platform, have announced the integration of Domino Nexus with the latter’s Kubernetes Engine.

The integration is designed to empower businesses in the era of generative artificial intelligence (AI), enabling them to accelerate innovation while effectively managing compute cost, performance, and availability. It allows seamless bursting of cutting-edge AI workloads to graphics processing unit (GPU) accelerated compute clusters across both cloud and on-premises environments.

Nick Elprin — Domino Data Lab CEO and co-founder said: “Customers seeking AI-driven competitive advantage must grapple with staggering GPU demand and cost pressures.

“Our integration with Vultr provides enterprises on-demand compute to keep developing cutting-edge AI without budget overspend.”

The collaboration between Vultr and Domino builds upon their recent partnership, which grants enterprise data science teams unprecedented access to NVIDIA-powered cloud infrastructure on Vultr. This includes access to NVIDIA A100 and H100 Tensor Core GPUs, providing the capability to train, deploy, and manage deep learning models with exceptional speed, flexibility, and affordability. Both Vultr and Domino are members of the NVIDIA Partner Network program.

The joint offering leverages Vultr Kubernetes Engine (VKE) and Domino’s hybrid- and multi-cloud architecture, Nexus, to eliminate data science silos and provide flexible compute options with a focus on cost, performance, and scalability. By prioritizing openness, flexibility, and open standards, this solution democratizes AI innovation, enabling teams of any size, budget, and location to participate.

Customers of Domino Nexus can now access Vultr cloud compute environments as part of their existing Domino deployments, thanks to the data plane functionality of this joint MLOps and Compute (Cloud and GPU) solution. Full Domino platform deployments on Vultr will be available by Summer 2023.

Vultr and Domino Data Lab will showcase this collaborative solution at the Rev 4 data science and analytics conference, which will take place from 31 May and 2 June 2023 in New York City.

JJ Kardwell — Vultr CEO said: “Vultr is committed to democratizing access to high performance cloud computing, so that our customers can focus on driving innovation without worrying about cost, data sovereignty, and security.

“With Domino Data Lab, we have created a best-in-class solution that will empower machine learning and data science practitioners to solve the world’s most pressing problems across a wide range of industries.”

  artificial intelligence, cloud computing, Domino Data Lab, JJ Kardwell, Kubernetes, machine learning, Nick Elprin, Vultr