Platform Computing Introduces Toolkit to Support NVIDIA GPU Hardware

August 20, 2009

TORONTO, Aug. 20 /PRNewswire/ — Platform Computing, the leader in cluster, grid and cloud computing software, announced that it is providing new GPU kits for its Platform Cluster Manager and Platform HPC Workgroup products to support NVIDIA’s CUDA-enabled GPUs, including NVIDIA’s market leading Tesla GPUs for high performance computing. Platform Computing’s GPU kits make it easier for administrators to build, provision, manage and schedule workloads on NVIDIA GPU-based HPC clusters.

“With the market need for GPU clusters rapidly increasing, working with an HPC leader like Platform is key as it creates an easy-to-use set of tools for building clusters with NVIDIA’s Tesla solutions,” said Andy Keane, General Manager of the Tesla Business Unit, NVIDIA. “Together, these products will enable commercial, academic, and research institutions to easily deploy GPU clusters, leading to revolutionary cost and power savings.”

GPU-based clusters are the most rapidly growing segment of the HPC market because they provide significantly more compute capacity at a fraction of the cost. NVIDIA Tesla-based GPUs feature up to 240 cores and 1 teraflop of processing power per processing GPU, as opposed to just 4 cores of processing power found in traditional server CPUs. Platform’s Cluster Manager and HPC Workgroup Manager simplify building, managing and scheduling GPU based clusters. Deployed with a single-click install, Platform Computing’s GPU kits allow users to quickly provision the clusters they need using NVIDIA’s solutions.

“Cray’s customers have seen tremendous improvements in their HPC workload throughput using Cray CX1 deskside supercomputers with NVIDIA Tesla GPUs,” said Ian Miller, Senior Vice President of the Productivity Solutions Group and Marketing, Cray. “Using Platform Computing’s GPU kits for Platform Cluster Manager and Platform HPC Workgroup Manager makes it even easier for our customers to provision, manage and schedule workloads on Cray CX1 deskside supercomputers.”

“Platform and NVIDIA have complementary offerings that enable partners like Cray to provide high performance computing clusters with the right tools to solve today’s challenging problems,” said Tripp Purvis, Vice President, Business Development, Platform Computing. “The GPU kits for Platform Cluster Manager and Platform HPC Workgroup Manager are designed to make NVIDIA powered GPU clusters user friendly right out of the box, so administrators can rapidly provision, manage and schedule clusters to handle increasingly intensive applications faster, more efficiently and with fewer energy requirements.”

For more information on Platform Cluster Manager and Platform HPC Workgroup Manager GPU kits for NVIDIA Tesla, please see: http://www.platform.com/Products/platform-cluster-manager.


NVIDIA (Nasdaq: NVDA) is the world leader in visual computing technologies and the inventor of the GPU, a high-performance processor which generates breathtaking, interactive graphics on workstations, personal computers, game consoles, and mobile devices. NVIDIA serves the entertainment and consumer market with its GeForce(R) products, the professional design and visualization market with its Quadro(R) products, and the high-performance computing market with its Tesla(TM) products. NVIDIA is headquartered in Santa Clara, Calif. and has offices throughout Asia, Europe, and the Americas. For more information, visit www.nvidia.com.

About Platform Computing

Platform Computing is the leader in grid and cloud computing software that dynamically connects IT resources to workload demand according to business policies. Over 2,000 of the world’s largest organizations rely on our solutions to improve IT productivity and reduce data center costs. Platform has strategic relationships with Cray, Dell, HP, IBM, Intel, Microsoft, Red Hat, and SAS. Building on 17 years of market leadership, Platform continues to help data centers be more efficient, responsive and dynamic. Visit www.platform.com.

SOURCE Platform Computing

Source: newswire

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