Nvidia’s LaunchPad enterprise AI development program goes global
At its ongoing GTC conference, IT giant Nvidia announced the expansion of its AI LaunchPad program, making it available in 10 locations around the world – Silicon Valley, Dallas, Washington, DC, London, Paris, Amsterdam, Frankfurt, Paris, Singapore, and Tokyo.
Initially limited to Equinix data centers in North America, LaunchPad provides businesses with immediate access to the Nvidia infrastructure and software suite to support their entire AI lifecycle, from development to prototyping and workload testing.
“The Nvidia LaunchPad program helps businesses around the world quickly determine their AI needs on the same stack they can buy and deploy, giving them a head start with Nvidia support even before a single server ships. “Manuvir Das, head of corporate IT at Nvidia, said in a statement.
Dutch Cancer Institute adopts LaunchPad
The Netherlands Cancer Institute (NKI) in Amsterdam is one of the first global organizations to test AI workloads on LaunchPad. According to IDC, by 2025, at least 90% of new business applications will integrate AI, and by 2024, more than 50% of user interface interactions will use computer vision, speech, natural language processing and AR / VR.
The end-to-end LaunchPad solution helps enterprises achieve this by providing both the core AI infrastructure – compute, network, and storage – for model training with Nvidia DGX systems as well as an IT infrastructure. inference and edge AI with Nvidia certified systems, built on the Nvidia EGX platform and deployed in Equinix data centers. Equinix Fabric also provides secure connectivity between these distributed training and inference locations.
On top of that, LaunchPad provides businesses with the software orchestration services needed to move their data and AI models between distributed locations. Organizations can manage their AI development workflow with Nvidia Base Command and edge deployment with Nvidia Fleet Command. Additionally, they can also use the Nvidia Enterprise AI software suite to power enterprise AI workloads in VMware vSphere environments.
“Our experience with Nvidia LaunchPad has shown that advanced AI workloads can be virtualized on consumer accelerated servers with Nvidia AI Enterprise and VMware vSphere, meaning that AI-based breakthroughs in cancer treatment may be more accessible to a wider range of healthcare providers, ”Jonas Teuwen, group leader, AI for Oncology at NKI, said.
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