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Vultr, Independent Cloud Computing Leader, Announces NVIDIA H100 Tensor Core GPU Launch and Partnerships with Domino Data Lab and Anaconda to Accelerate Large-Scale Deployment of Data Science – LeLézard.com

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With the rapidly growing demand for GPUs for development and large-scale deployments of artificial intelligence (AI) and machine learning, Vultr, the largest private cloud computing company, announces the launch of the NVIDIA HGX H100, NVIDIA’s revolutionary new architecture for accelerated computing. Vultr also announced today that it has signed a three-way strategic alliance with leading data science and machine learning platforms Anaconda Inc. and Domino Data Lab to simplify the task and accelerate the work of data scientists and machine learning engineers.

The NVIDIA HGX H100 expands Vultr’s cloud-based NVIDIA GPU offering, which includes the A100, A40, and A16, and complements Vultr’s comprehensive Infrastructure-as-a-Service (IaaS) support intended for accelerated workloads is. From generative AI, deep learning, supercomputing, video rendering, and graphics-intensive applications to virtual and augmented reality, Vultr’s rich line of GPUs expands the comprehensive range of affordable cloud computing solutions that make Vultr the ideal cloud computing provider. Enterprise infrastructures with extensive use of AI and machine learning.

The expansion of our NVIDIA GPU portfolio coupled with our partnerships with Domino and Anaconda demonstrates our commitment to supporting innovation in AI and machine learning,” said JJ Kardwell, CEO of Constant, Vultr’s parent company. We’ve partnered with leading providers of solutions for data scientists and machine learning engineers to provide easy and affordable access to the highest-performing infrastructure for accelerated computing.

Seamless integration of Vultr, Domino, and Anaconda products and services provides machine learning engineers with a platform-like approach to accelerate data science results and reduce time-to-value. In less than 60 seconds, data scientists can create a complete and secure Anaconda development environment on the Domino MLOps platform (running on the Vultr framework) and start developing and testing new machine learning models immediately. This unique alliance eliminates the complexity of setting up infrastructure and integrated development environments, allowing data science teams and machine learning engineers to focus on innovation rather than development.

The most innovative data scientists will be able to tackle the world’s toughest challenges with easy access to the tools they know and love and better collaboration resulting in faster model iterations and deployments, said Thomas Robinson, Chief Operating Officer by Domino Data Lab. Through our collaboration with Anaconda and Vultr, we are paving the way for disruptive innovation, including full support for AI/AA lifecycles, which will accelerate time to value for data science teams.

Together, Domino and Vultr provide near-instant, on-demand access to our integrated development environment – from anywhere that requires serious data science, said Al Gashi, senior vice president, global revenue, Anaconda. Customers can access the open source tools their team needs to innovate and scale their machine learning projects with confidence. Through this partnership, data science teams can focus on what they do best and keep the world running with AI-powered innovation.

“The launch of Vultr’s NVIDIA HGX H100 on its open platform offers customers the power of next-generation accelerated computing,” said Dave Salvator, director of accelerated computing products, NVIDIA. AI and machine learning developers can easily access the NVIDIA HGX H100 and NVIDIA’s rich AI platform through Vultr to power their AI solutions.

Vultr’s mission is to make high-performance cloud computing easy to use, affordable and locally accessible for businesses and developers around the world. From the largest supercomputer clusters to partial GPU virtual machines, Vultr makes the industry’s best GPUs affordable by freeing users from the expensive overprovisioning that comes with tech-glove cloud offerings. Customers can access GPUs in the cloud with hourly, monthly, or long-term reserved capacity based on their needs.

Vultr now offers the most powerful accelerated computing resources for unprecedented performance. NVIDIA GPUs are also part of Vultr’s extensive offering of virtualized and bare metal cloud computing solutions, as well as Kubernetes, managed databases, block and object storage, and more. This unified collection of products and services makes Vultr the all-in-one vendor of choice for organizations of all sizes driving mission-critical AI and machine learning initiatives.

About Constant and Vultr

Constant, Vultr’s parent company, is dedicated to making high-performance cloud computing easy to use, affordable and locally accessible for businesses and developers around the world. Vultr, Constant’s flagship product, is the largest private cloud computing platform in the world. Popular with developers, Vultr serves more than 1.5 million customers in 185 countries with its flexible, scalable and global cloud computing, cloud GPU, bare metal and cloud storage solutions. Founded by David Aninowsky, Constant has grown into one of the world’s largest cloud computing platforms without ever resorting to equity financing. For more information: www.constant.com and www.vultr.com.

About Anaconda

With over 30 million downloads, Anaconda is the world’s most popular data science platform and the foundation of modern machine learning. As a pioneer in using Python in data science, Anaconda supports its vibrant community and continues to lead open source projects that enable the innovations of tomorrow. Our enterprise tools are the solution of choice to secure and manage commercial use of Python, enabling commercial enterprises, research institutes, and academic institutions around the world to harness the power of open source to achieve a competitive, cutting-edge research to operate and build a smarter, better world.

About Domino Data Lab

Domino Data Lab enables organizations to be model-driven with its MLOps Enterprise Data Management platform, used by more than 20% of Fortune 100 companies. Domino helps organizations be model-driven by accelerating the development and delivery of data science work while improving collaboration and governance. With Domino, companies around the world can develop better medicines, increase crop yields, build better cars and much more. Founded in 2013, Domino is backed by Coatue Management, Great Hill Partners, Highland Capital, NVIDIA, Sequoia Capital and other leading investors. Visit www.dominodatalab.com for more information.

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Vultr Independent Cloud Computing Leader Announces NVIDIA H100 Tensor Core