TL;DR:
- Vultr and Domino Data Lab have integrated their platforms to offer enhanced AI capabilities.
- The collaboration aims to provide businesses with on-demand computing resources for AI development without exceeding budget constraints.
- The joint offering combines Vultr’s Kubernetes Engine and Domino Nexus to enable the seamless bursting of AI workloads across cloud and on-premises environments.
- Enterprise data science teams gain access to state-of-the-art NVIDIA-powered cloud infrastructure, including GPUs like NVIDIA A100 and H100 Tensor Core, for training and managing deep learning models.
- The partnership focuses on democratizing AI innovation by breaking down data science silos and offering flexible computing options.
- Domino Nexus orchestrates governed, self-service access to data science tools and infrastructure, while Vultr’s Kubernetes Engine ensures scalable and geographically redundant operations.
- Vultr offers various NVIDIA GPU configurations at a lower cost, with minimized data transfer expenses through its global bandwidth pricing plan.
- The integration empowers machine learning and data science practitioners to address pressing challenges in diverse industries.
Main AI News:
Vultr, a leading player in the cloud computing industry, and Domino Data Lab, a provider of an advanced Enterprise MLOps platform, have made an exciting announcement regarding the integration of Domino Nexus with Vultr’s powerful Kubernetes Engine. This integration is set to revolutionize the way businesses leverage generative AI to gain a competitive edge in today’s rapidly evolving landscape.
Nick Elprin, the esteemed CEO and co-founder of Domino Data Lab emphasized the challenges faced by customers in their pursuit of AI-driven advantages. “Customers seeking AI-driven competitive advantage must grapple with staggering GPU demand and cost pressures,” he stated. To address these concerns, the collaboration with Vultr will provide enterprises with on-demand computing capabilities, enabling them to continuously develop cutting-edge AI solutions without exceeding their budgetary constraints.
The primary objective of this partnership is to expedite innovation while effectively managing compute costs, performance, and availability. By seamlessly enabling the bursting of cutting-edge AI workloads to GPU-accelerated compute clusters across both cloud and on-premises environments, Vultr and Domino aim to empower businesses to achieve their goals efficiently and effortlessly.
This announcement builds upon the recent partnership between Vultr and Domino Data Lab, granting enterprise data science teams unprecedented access to state-of-the-art NVIDIA-powered cloud infrastructure on Vultr’s platform. Leveraging the power of NVIDIA A100 and H100 Tensor Core GPUs, these teams can now train, deploy, and manage their deep learning models with exceptional speed, flexibility, and affordability. It’s worth noting that Vultr and Domino are esteemed members of the esteemed NVIDIA Partner Network program.
The groundbreaking joint offering is supported by the robust Vultr Kubernetes Engine (VKE) and Domino’s versatile hybrid- and multi-cloud architecture known as Nexus. This combination effectively breaks down data science silos and provides flexible computing options with a keen focus on cost, performance, and scalability. By emphasizing openness, flexibility, and adherence to open standards, this collaboration democratizes AI innovation, catering to teams of all sizes, budgets, and locations.
At the heart of this integration lies Domino Nexus, a unified MLOps platform that orchestrates governed, self-service access to commonly used data science tools and infrastructure across all environments, including Vultr. This seamless integration addresses critical challenges related to infrastructure capacity and data sovereignty during model training, ensuring smooth operations for businesses.
Domino’s Kubernetes-native platform effortlessly runs on VKE, benefitting from the CNCF-certified and MACH-compliant infrastructure. Users can now enjoy automated container orchestration with support for geographically redundant clusters, enabling them to scale their data science workloads across Vultr’s global locations with confidence. The fear of vendor lock-in or service disruptions becomes a thing of the past, as businesses can operate seamlessly and effectively.
Vultr, renowned for its wide array of NVIDIA A100 and NVIDIA H100 Tensor Core GPU configurations, allows enterprises to optimize their infrastructure based on the demands of their AI workloads while significantly reducing costs. Furthermore, Vultr’s global bandwidth pricing plan minimizes data transfer expenses, ensuring that customers can focus on driving innovation rather than being encumbered by financial concerns.
J.J. Kardwell, the visionary CEO of Vultr, expressed the company’s commitment to democratizing access to high-performance cloud computing. “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,” he explained. Together with Domino Data Lab, Vultr has created an unparalleled solution that empowers machine learning and data science practitioners to tackle the world’s most pressing problems across a diverse range of industries.
Conlcusion:
The integration between Vultr and Domino Data Lab represents a significant advancement in the market of AI-driven business analytics. This partnership offers businesses a powerful combination of on-demand computing resources, cutting-edge GPU technology, and seamless workload management across cloud and on-premises environments. By democratizing AI innovation and providing flexible computing options, this collaboration enables organizations to accelerate their data science capabilities while effectively managing costs.
With enhanced access to state-of-the-art infrastructure and tools, businesses can unlock new opportunities for driving innovation, gaining a competitive edge, and addressing critical challenges across various industries. This partnership sets the stage for transformative advancements in the market, empowering businesses to harness the full potential of AI and revolutionize their analytical capabilities.
