Polestilling

Polestilling

Tidsstempel: 23. mai 2023 9:07
Kilde node: 2685389

Webinar Dette er ikke tid for næringslivet å ta en rolig pit-stop, som den raske økningen i generative AI- og HPC-brukstilfeller på tvers av bransjer og forretningssektorer viser.

Flere og flere bedrifter bruker generativ AI for å forbedre kundeinteraksjoner, forbedre dataoppdagelse og effektivisere driften. Men et av de store problemene de står overfor er kravet til avansert infrastruktur som integrerer høyytelseslagring og akselerert databehandling for å levere rask innsikt fra den overveldende mengden data som genereres.

NAS solutions from VAST Data and accelerated computing from NVIDIA can help confront the challenges that the machine learning and deep learning applications and workloads present. Take a look at the Register's latest webinar - Leverer generativ kunstig intelligens i 2023 - hosted by James Hayes in discussion with VAST Data's John Mao, VP, Global Business Development, and NVIDIA's Tony Paikeday, Senior Director of Product Marketing, Artificial Intelligence Systems to learn more.

Hear them undertake an interactive discussion on the key issues facing enterprises leveraging AI, consider the major infrastructure challenges as businesses race to prototype and deploy AI-powered applications into their business models. You'll also get a look at just how VAST Data and NVIDIA can provide AI solutions with validated DCX SuperPOD architectures.

Because provisioning for performance-optimized data storage systems and large scale computing infrastructure is key to serving your AI-powered business initiatives. Collaborating closely, NVIDIA and VAST Data have created the NVIDIA DGX SuperPOD certification – a solution capable of virtually limitless levels of scale and performance that is also simple and resilient in operation. Together they can help any enterprise to set up GPU-powered platforms – computing, networking and storage - that easily enables AI-ready clouds whenever required.

Klikk her. for å se webinaret.

Sponset av VAST Data.

Tidstempel:

Mer fra Registeret