Nvidia partners with Rescale to simplify cloud-based AI projects – SiliconANGLE
Nvidia Corp has partnered with Rescale Inc. A high-performance computing startup, to make it easier to run AI applications on public cloud infrastructure.
The partnership was announced today and includes multiple components. Rescale will integrate its technology with many of Nvidia’s AI development and deployment tools. In addition, the startup is rolling out a software capability that can automatically improve the cost and performance of the company’s AI application environment.
San Francisco-based Rescale is backed by more than $150 million in funding from Nvidia and Microsoft Corp. and other prominent investors. It provides a software platform that makes it easy to run High Performance Computing, or HPC, applications in the cloud. HPC applications are hardware-intensive software such as physics simulators that are used to support research and engineering projects.
The namesake Rescale platform automates much of the manual work involved in deploying HPC software to the cloud. It also helps with related tasks, such as securing applications.
“We are moving from what I call intuition-based engineering to a more scientific paradigm,” Edward Hsu, Product Manager at Resale, said at a press conference.
Hsu provided some examples of how the process works. For example, a company that designs a pavilion used to come up with designs and test them in a wind tunnel, which is a long and expensive process. When recycled, he said, 20 to 30 antenna wing designs can be simulated without using a wind tunnel, and now, with new capabilities with Nvidia, they can run all those experiments and use artificial intelligence and machine learning to determine what’s best for this. within reach.
As part of its feature set, Rescale provides a catalog of prepackaged HPC applications. Customers can deploy applications without the extensive manual work normally involved in the task. Through its newly announced partnership with Nvidia, Rescale is expanding its software catalog by adding support for many of the chipmaker’s AI tools.
The first offering that Rescale will add support to is the Nvidia AI Enterprise platform. It is a set of more than ten software tools designed to facilitate the task of building, deploying, and maintaining neural networks.
Many of the tools in the Nvidia AI Enterprise platform focus on making it easier to manage the cloud infrastructure on which the company’s AI software runs. Others could improve the neural network to use Nvidia chips more efficiently. To simplify the work of developers, Nvidia has also included building blocks that facilitate the creation of AI applications for use cases such as bots.
In addition to Nvidia AI Enterprise, Rescale will add support for a number of other software tools to its platform.
One tool, the Nvidia Base Command Platform, provides an interface through which researchers can coordinate the training of a new neural network. Rescale also adds support for another Nvidia software rendering called Nvidia Modulus. The latest demonstration makes it easy to build neural networks to perform research and engineering tasks that involve physical computations.
“By integrating proprietary and data-driven approaches, Physics-ML AI models allow us to explore our design space at speeds and scales many orders of magnitude greater than ever before,” said Nvidia founder and CEO Jensen Huang. “Rescaling is the intersection of these key trends. Nvidia’s Rapid Computing and AI platform perfectly complements the Rescale program to advance industrial scientific computing.”
Along with expanded support for Nvidia software, Rescale today launched a new tool called Compute Recommendation Engine, or CRE. The tool is designed to help companies improve cloud environments in which they run HPC and AI applications.
According to Rescale, CRE can optimize infrastructure resources added to a cloud environment in a way that reduces hardware costs. Instead, the tool is able to configure infrastructure resources to achieve maximum performance. Organizations can customize how CRE balances cost-efficiency with performance based on their requirements.
“Our unique approach designed for the cloud allows us to deliver our services Joris Porte, founder and CEO of Rescale, said:
Rescale says organizations rely on its platform for use cases such as medical research, aircraft development and chip design. The startup developed its new infrastructure optimization tool by drawing on metadata collected from more than 100 million high-performance computing workloads.
With a report from Robert Hof
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