Vultr, a privately-held cloud computing company, and Domino Data Lab, provider of an Enterprise MLOps platform, announced the integration of Domino Nexus with Vultr’s Kubernetes Engine to help businesses achieve competitive advantage in the era of generative AI.
"Customers seeking AI-driven competitive advantage must grapple with staggering GPU demand and cost pressures," said Nick Elprin, CEO and co-founder at Domino Data Lab. "Our integration with Vultr provides enterprises on-demand compute to keep developing cutting-edge AI without budget overspend.”
The companies aim to accelerate innovation while balancing compute cost, performance, and availability with seamless bursting of cutting-edge AI workloads to GPU-accelerated compute clusters across cloud and on-premises environments.
According to the vendors, this announcement delivers on Vultr and Domino’s recently announced partnership, which gives enterprise data science teams unparalleled access to state-of-the-art NVIDIA-powered cloud infrastructure on Vultr, including NVIDIA A100 and H100 Tensor Core GPUs to train, deploy, and manage their own deep learning models with speed, flexibility and affordability. Vultr and Domino are both members of the NVIDIA Partner Network program.
The new joint offering is underpinned by Vultr Kubernetes Engine (VKE) and Domino’s hybrid- and multi-cloud architecture, Nexus, to break down data science silos and open flexible compute options, with cost, performance, and scale in mind. Built around a commitment to openness, flexibility, and open standards, it further democratizes AI innovation for teams of any scale, budget and location.
Domino Nexus' unified MLOps platform orchestrates governed, self-service access to common data science tooling and infrastructure across all environments, including Vultr—alleviating infrastructure capacity and data sovereignty challenges during model training.
Domino’s Kubernetes-native platform runs seamlessly on VKE, with the CNCF-certified and MACH-compliant VKE providing automated container orchestration with support for geographically redundant clusters, so users can operate with confidence to easily scale data science workloads across Vultr’s worldwide locations without fear of vendor lock-in or outages.
Vultr offers a variety of full and fractional NVIDIA A100 and NVIDIA H100 Tensor Core GPU configurations, enabling enterprises with the agility to optimize infrastructure based on AI workload demands at a significantly lower cost. Data transfer costs are minimized with Vultr’s global bandwidth pricing plan.
“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,” said J.J. Kardwell, CEO of Vultr. “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.”
For more information about this news, visit www.vultr.com or www.dominodatalab.com.