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Monday, November 18, 2013
NVIDIA Launches Tesla K40 Accelerator for Supercomputing
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NVIDIA today unveiled the NVIDIA Tesla K40 GPU accelerator, a high-performance accelerator designed for scientific,
engineering, high performance computing (HPC) and enterprise
applications.
The Tesla K40 provides double the memory and up to 40 percent
higher performance than its predecessor, the Tesla K20X GPU
accelerator. It is also 10 times higher performance than
today's fastest CPU.
Nvidia's latest accelerator is also featuring NVIDIA GPU Boost
technology, which converts power headroom into a
user-controlled performance boost.
It is based on the NVIDIA Kepler compute architecture and
offers 4.29 teraflops single-precision and 1.43 teraflops
double-precision peak floating point performance, according to
Nvidia.
The Tesla K40 GPU also includes 12GB of GDDR5 memory clocked at 3GHz; 2,880
CUDA parallel processing cores; Dynamic Parallelism and; a PCIe
Gen-3 interconnect support.
Nvidia did to raise the thermal threshold for the new card as both the K20X and K40 are 235W solutions. The also K40's base core clock has been also increased to 745 MHz, with boost clocks reaching the 810 and 875 MHz:
The Texas Advanced Computing Center (TACC) at The University of
Texas at Austin plans to deploy "Maverick," a new interactive,
remote visualization and data analysis system powered by NVIDIA
Tesla K40 GPU accelerators. Maverick is expected to be fully
operational in January 2014.
Nvidia says that more than 240 software applications take
advantage of GPU acceleration.
The NVIDIA Tesla K40 GPU accelerator is available now and in
the coming months from a variety of server manufacturers,
including Appro, ASUS, Bull, Cray, Dell, Eurotech, HP, IBM,
Inspur, SGI, Sugon, Supermicro and Tyan, as well as from NVIDIA
reseller partners.
Nvidia wants to bring its GPU accelerator technology beyond the
realm of supercomputing and into the heart of enterprise-scale
data centers. The company today said that it plans to
collaborate with IBM on GPU-accelerated versions of IBM's portfolio of enterprise software applications on IBM Power
Systems.
NVIDIA and IBM also plan to integrate the joint-processing
capabilities of NVIDIA Tesla GPUs with IBM POWER processors.
The partnership between NVIDIA and IBM builds on the OpenPOWER
Consortium, in which IBM, NVIDIA, Google, Mellanox and Tyan aim
to establish an open ecosystem based on IBM's POWER
architecture.
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