PNY Announces an Expanded Portfolio of NVIDIA GPU Offerings
PNY Technologies announced today that it plans to expand its portfolio of offerings to include NVIDIA® GPUs. This new PNY offering t gives PNY an industry leading-edge with the inclusion of the latest NVIDIA A100 PCIe and the NVIDIA A40 PCIe GPUS. Built for graphics, data science, big data analytics, scientific computing and the cloud these products are designed to unify AI training and inference and boost performance by up to 20x over CPU-based offerings.
The NVIDIA A40 GPU resets performance and multi-workload capabilities for data centers, combining best-in-class professional graphics with powerful compute and AI acceleration to meet today’s design, creative, and scientific challenges. Driving the next generation of virtual workstations and server-based workloads, NVIDIA A40 brings state-of-the art features for ray traced rendering, simulation, virtual production, and more to professionals anytime, anywhere.
“PNY is poised to become the supplier of choice for the new NVIDIA A100 and A40 PCIe GPUs, along with associated NVIDIA hardware like Mellanox Smart NICs and switches”, according to Steven Kaner, Sr. Vice President of Sales and Marketing for PNY’s Pro Business Unit. “We will proactively stock and support these exciting offerings. Having products in-stock and ready to ship will drastically reduce lead times and speed project development.”
“Cloud computing and AI are driving a shift in data center infrastructure where there has been a significant increase in the use of GPUs for accelerated computing,” said Paresh Kharya, senior director of product marketing at NVIDIA. “NVIDIA A100 GPUs offer a 20x AI performance leap and an end-to-end machine learning accelerator – from data analytics to training to inference.”
From the cloud, to the office, to the data center, or to the edge, NVIDIA’ accelerated compute solutions offer unmatched performance for AI, graphics or HPC intensive workloads, at any scale, with fewer servers, resulting in faster insights and dramatically lower costs. Sensitive data can be stored, processed, and analyzed while operational security is maintained.