Now, an opportunity to easily add GPU computing capabilities to the existing datacentre systems is right here for researchers and IT managers to grab it.
Nvidia, along with its partners, has announced the release of the latest ready-to-power-up, off-the-shelf solution – the Tesla GPU Preconfigured Cluster.
Paired with Tesla S1070 GPU 1U Systems and x86 CPU Servers, the newly introduced cluster boasts to offer up to 30 times greater performance over CPU-only solutions. Now, the targeted audience can effortlessly deploy smaller, more computationally dense systems.
Claiming to devour considerably less power, the energy-efficient Tesla GPU Preconfigured Cluster has the ability to address the ever-growing demands of computational fluid dynamics, molecular dynamics, seismic processing and financial computing.
According to Andy Keane, general manager of the Tesla business at Nvidia, “There are 15 to 20 million engineers, scientists and researchers around the world struggling for time on supercomputers, which has led to a huge pent-up demand for computation. With the launch of the Tesla Preconfigured Cluster, every one of them can easily deploy a GPU-powered supercomputing cluster that dramatically reduces their power consumption while still advancing the pace of their work.”
Further, it also runs bigger and more complex models as well as molecular dynamics algorithms up to 100X faster.
In addition to the support for C-based CUDA toolkit, it packs in 960 (240 per processor) streaming processor cores with a run rate of 1.296 to 1.44 GHz, IEEE 754 single & double floating point precision, 16GB memory, PCIe x16 or x8 system interface and 800W of power consumption. It is compatible with Linux OS with Windows Server 2003 and 2008.
However, the price of the Tesla GPU Preconfigured Cluster is still a mystery.
