Two new cluster supercomputers unveiled this week will help enterprises work with demanding artificial intelligence (AI) workloads. The Cray CS-Storm 500GT and the Cray CS-Storm 500NX offer accelerator-optimized solutions for running machine learning and deep learning applications, according to a press release.
Cray said that its new computer systems “are designed for organizations looking for the fastest path to new discoveries, a building block approach to scalability, and the assurance of collaborating with a trusted partner with a long history of designing and deploying tightly-integrated, highly-scalable systems,” according to the press release. The machines feature NVIDIA Tesla GPU accelerators, and give customers a larger range of options for computational and data-intensive applications.
“Customer demand for AI-capable infrastructure is growing quickly, and the introduction of our new CS-Storm systems will give our customers a powerful solution for tackling a broad range of deep learning and machine learning workloads at scale with the power of a Cray supercomputer,” said Fred Kohout, Cray’s senior vice president of products and chief marketing officer, in the press release. “The exponential growth of data sizes, coupled with the need for faster time-to-solutions in AI, dictates the need for a highly-scalable and tuned infrastructure.”
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The CS-Storm machines provide up to 187 tera operations per second (TOPS) per node, 2,618 TOPS per rack for machine learning application performance, and up to 658 double precision TFLOPS per rack for HPC application performance, according to the release. The machines are delivered as fully integrated cluster computers, complete with the Cray Programming Environment, Cray Sonexion scale out storage, and full cluster systems management.
The Cray CS-Storm 500GT can support as many as 10 NVIDIA Tesla P40 or P100 PCIe accelerators, using balanced or single-root configurations for CPU-to-GPU communications. The CS-Storm 500NX includes support for eight Tesla P100 SXM2 accelerators, and uses the NVIDIA NVLink high speed interconnect for GPU-to-GPU communications.
“Early adopters of big data analytics and AI have learned a painful lesson as they have struggled to scale their applications and keep pace with data growth and use more sophisticated models,” said Shahin Khan, founding partner at OrionX Research, in the press release. “You must have the right systems from the beginning to be able to scale, otherwise inefficiencies accumulate and multiply.”
The 3 big takeaways for TechRepublic readers
1. This week, Cray released two new cluster supercomputers that offer accelerator-optimized solutions for running machine learning and deep learning applications.
2. The computer systems are designed for enterprises looking to scale up their AI work.
3. The machines also feature NVIDIA Tesla GPU accelerators, and give customers a larger range of options for computational and data-intensive applications.