This guest blog was submitted by Sumit Gupta, senior director of NVIDIA’s Tesla High Performance Computing business.
The demand for greater levels of computational performance remains insatiable in the high performance computing (HPC) and technical computing industries, as researchers, geophysicists, biochemists, and financial quants continue to seek out and solve the world’s most challenging computational problems.
However, access to high-powered HPC systems has been a constant problem. Researchers must compete for supercomputing time at popular open labs like Oak Ridge National Labs in Tennessee. And, small and medium-size businesses, even large companies, cannot afford to constantly build out larger computing infrastructures for their engineers.
Imagine the new discoveries that could happen if every researcher had access to an HPC system. Imagine how dramatically the quality and durability of products would improve if every engineer could simulate product designs 20, 50 or 100 more times.
This is where NVIDIA and SoftLayer come in. Together, we are bringing accessible and affordable HPC computing to a much broader universe of researchers, engineers and software developers from around the world.
GPUs: Accelerating Research
High-performance NVIDIA Tesla GPUs (graphics processing units) are quickly becoming the go-to solution for HPC users because of their ability to accelerate all types of commercial and scientific applications.
From the Beijing to Silicon Valley — and just about everywhere in between — GPUs are enabling breakthroughs and discoveries in biology, chemistry, genomics, geophysics, data analytics, finance, and many other fields. They are also driving computationally intensive applications, like data mining and numerical analysis, to much higher levels of performance — as much as 100x faster.
The GPU’s “secret sauce” is its unique ability to provide power-efficient HPC performance while working in conjunction with a system’s CPU. With this “hybrid architecture” approach, each processor is free to do what it does best: GPUs accelerate the parallel research application work, while CPUs process the sequential work.
The result is an often dramatic increase in application performance.
SoftLayer: Affordable, On-demand HPC for the Masses
Now, we’re coupling GPUs with easy, real-time access to computing resources that don’t break the bank. SoftLayer has created exactly that with a new GPU-accelerated hosted HPC solution. The service uses the same technology that powers some of the world’s fastest HPC systems, including dual-processor Intel E5-2600 (Sandy Bridge) based servers with one or two NVIDIA Tesla M2090 GPUs:
SoftLayer also offers an on-demand, consumption-based billing model that allows users to access HPC resources when and how they need to. And, because SoftLayer is managing the systems, users can keep their own IT costs in check.
You can get more system details and pricing information here: SoftLayer HPC Servers
I’m thrilled that we are able to bring the value of hybrid HPC computing to larger numbers of users. And, I can’t wait to see the amazing engineering and scientific advances they’ll achieve.
-Sumit Gupta, NVIDIA – Tesla