Lake Forest, CA, Nov. 10, 2020 – PSSC Labs, a developer of artificial intelligence (AI), high performance computing (HPC) and big data computing solutions, today announced that Nvidia, inventor and leading provider of GPUs for AI and machine learning, has named PSSC Labs a Preferred Partner. Through this partnership PSSC Labs will provide custom configured computing solutions including the latest Nvidia Data Center GPU technology, all built and designed by HPC professionals with unmatched expertise delivering turn-key solutions for specific applications.
Partnering with Nvidia allows PSSC Labs to enhance their product offerings in the AI, machine learning, and streaming analytics spaces. Nvidia Data Center GPUs are among the best on the market, bringing the power of real-time ray tracing and AI to applications that organizations use every day. By providing HPC and AI servers equipped with this technology, PSSC Labs is putting truly next-gen performance right into the hands of their clients.
With Nvidia as a partner, PSSC Labs is also able to better support their many design and engineering customers. Many of these organizations utilize PSSC Labs’ Axceleron HPC and AI Workstations, which are equipped with Nvidia Quadro series GPUs for industrial design, advanced special effects and complex scientific visualization for design and engineering firms.
On a larger scale, the PSSC Labs PowerWulf ZXR1+ HPC Cluster, and the PowerServe Uniti Servers, are built to fit Nvidia Data Center GPUs (previously named the Tesla series). Servers outfitted with these GPUs are designed to accelerate demanding HPC and hyperscale data center workloads. The Nvidia accelerators are delivering the horsepower needed to run simulations faster than ever before without sacrificing performance.
“Our clients want the fastest, best performing AI and HPC systems out there, and this partnership with Nvidia will help us to deliver on that,” says Alex Lesser, VP at PSSC Labs. “PSSC Labs takes the time to listen to exactly what the client needs, and then we build out the system from there. With Nvidia, we don’t have to ask our clients whether they value speed or performance more, because they’re getting both.”
