Blade Watch

Platform

TORONTO, Canada, August 20, 2009 – 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.

I was interested to see this, it’s great news that Platform have released their kits to integrate GPU functionality in their HPC solution, I know a lot of people have been working on GPUs as a vehicle for grid/analytics and hpc solutions, providing extra functionality to plug these devices into the grid has to be a good thing. I’m off to read up more.

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