Nvidia reveals AI software dev platform, new AI servers
Nvidia wants to enable enterprises to run AI workloads on traditional hardware
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Nvidiahas announced several Artificial Intelligence (AI) computing initiatives designed for enterprises at itsComputex 2021launch.
AI has been a key focus point ofNvidia’s presence at the event, and the company argues that its announcements will enable all kinds of enterprises to power their AI workloads on traditional datacenter infrastructure.
Nvidia’s first announcement is a cloud-hosted Base Command AI software development platform, which it has developed in collaboration with NetApp. Furthermore, the company has also launched several AI-optimized x86 servers from leading computer manufacturers, as part of its Nvidia-certified systems program.
“The open, growing ecosystem of Nvidia-Certified Systems provides unprecedented customer choice in servers validated by Nvidia to power world-class AI,” said Nvidia’s head of Enterprise Computing, Manuvir Das.
Enterprise AI
The new AI-optimized servers come from about a dozen hardware vendors including the likes of Asus,DellTechnologies, Gigabyte,Hewlett PackardEnterprise,Lenovo, and others.
The company further added that while x86 servers based on the Nvidia Ampere architecture GPUs are available now, systems using BlueField-2 Data Processing Units (DPUs) will come out later this year, and moreArm-powered machines will arrive in 2022.
Nvidia also shared that these new systems are certified to run its AI Enterprise software suite of data analytics software on VMware vSphere, Nvidia Omniverse Enterprise for design collaboration and advanced simulation, andRed Hat OpenShiftfor AI development, with additional support for Cloudera data engineering and machine learning modeling tools.
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Cloud AI
In addition to the servers, Nvidia also unveiled its Base Command Platform (BCP), which is touted as a cloud-hosted development hub to enable enterprises to accelerate the delivery of their AI projects.
Nvidia suggests that BCP enables developers to leverage the cloud to tap into the computing power of Nvidia’s DGX SuperPOD AI supercomputers using NetApp’s data management tools.
The platform is designed for large-scale, multi-user and multi-team AI development workflows, and enables several researchers and data scientists to work together simultaneously.
BCP is available to early access customers through a $90,000 monthly subscription, and Nvidia shares thatGoogle Cloudplans to add support for BCP in its marketplace later this year.
ViaVentureBeat
With almost two decades of writing and reporting on Linux, Mayank Sharma would like everyone to think he’sTechRadar Pro’sexpert on the topic. Of course, he’s just as interested in other computing topics, particularly cybersecurity, cloud, containers, and coding.
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