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Rack Scale Composable Infrastructure for Mixed Workload Data Centers

A more flexible, application-centric, datacenter architecture is required to meet the needs of rapidly changing HPC applications and hardware. In this guest post, Katie Rivera of One Stop Systems explores how rack-scale composable infrastructure can be utilized for mixed workload data centers. 

One Stop Systems Launches Rack Scale GPU Accelerator System

Today One Stop Systems expanded its line of rack scale NVIDIA GPU accelerator products with the introduction of GPUltima-CI. “The GPUltima-CI power-optimized rack can be configured with up to 32 dual Intel Xeon Scalable Architecture compute nodes, 64 network adapters, 48 NVIDIA Volta GPUs, and 32 NVMe drives on a 128Gb PCIe switched fabric, and can support tens of thousands of composable server configurations per rack. Using one or many racks, the OSS solution contains the necessary resources to compose any combination of GPU, NIC and storage resources as may be required in today’s mixed workload data center.”

One Stop Systems Rolls Out High Bandwidth NVMe Ion Flash Storage Array

Today One Stop Systems introduced the new 2U Ion Accelerator Flash Storage Array. The new array offers flexible capacity while maintaining the high-bandwidth and low-latency pedigree of Ion Accelerator arrays deployed in hundreds of global installations. This OSS shared flash storage array boasts the latest Ion Accelerator 5.0 software, NVMe drives, networking options and dual Intel Xeon Scalable Processors to support the most demanding applications.

One Stop Systems Plans for IPO

HPC vendor One Stop Systems has announced plans to raise $20 million in an initial public offering (IPO) on Wednesday, January 31. Founded in 1998, the company plans to issue 2,900,000 shares at a price of $6.00-$8.00 per share. “OSS designs, manufactures and markets high-end systems for high performance computing applications. We combine state-of-the art components from major technology providers to design and manufacture purpose-built systems that allow our customers to exploit Big Data opportunities faster and more efficiently.”

SkyScale HPC Cloud steps up with Volta GPUs

Last week at SC17, SkyScale announced its partnership with Rescale, the foremost cloud simulation and HPC solution provider, and availability of NVIDIA Tesla V100 GPU accelerators on its GPU as a Service cloud platform. Enhancing SkyScale’s dedicated, cloud-based ultra-fast multi-GPU platforms for deep learning and HPC applications, the Tesla V100 offers the performance of 100 CPUs in a single GPU—enabling data scientists, researchers, and engineers to tackle the most difficult deep learning and HPC challenges.

Japanese HPC Cloud Startup XTREME Design Raises $2.75M

Today Japanese HPC Cloud Startup XTREME Design announced the completion of a $2.75M financing agreement in Series-A round funding led by World Innovation Lab (WiL). “XTREME Design provides access to supercomputing resources for companies that didn’t previously have it, and has tremendous growth potential right now within High Performance Technical Computing and beyond.”

Composable Infrastructure: Composing Greater HPC Breakthroughs

Composable infrastructure allows any number of CPU nodes to dynamically map the optimum number of GPU and NVMe storage resources to each node required to complete a specific task.  In this sponsored post, Katie Rivera of One Stop Systems, explores the power of GPUs and the potential benefits of composable infrastructure for HPC. 

OSS Showcases New HDCA Platforms with Volta GPUs at GTC Europe

At GTC Europe this week, One Stop Systems (OSS) will exhibit two of the most powerful GPU accelerators for data scientists and deep learning researchers, the CA16010 and SCA8000. NVIDIA GPU computing is helping researchers and engineers take on some the world’s hardest challenges,” said Paresh Kharya, group product marketing manager of Accelerated Computing at NVIDIA. “One Stop Systems’ customers can now tap into the power of our Volta architecture to accelerate their deep learning and high performance computing workloads.”

Solving AI Hardware Challenges

For many deep learning startups out there, buying AI hardware and a large quantity of powerful GPUs is not feasible. So many of these startup companies are turning to cloud GPU computing to crunch their data and run their algorithms. Katie Rivera, of One Stop Systems, explores some of the AI hardware challenges that can arise, as well as the new tools designed to tackle these issues. 

One Stop Systems on Inc. 5000 List of Fastest Growing Private Companies

Today One Stop Systems announced that the company ranks in the top half of the Inc. 5000 list of Fastest Growing Private Companies. This is the 7th time OSS has been on the Inc. 5000 list. Of the tens of thousands of companies that have applied to the Inc. 5000 over the years, only a fraction have made the list more than once. A mere two percent have made the list seven times. “We’re proud to be part of the small fraction of companies that have made the Inc. 5000 list seven times,” said Steve Cooper, CEO of OSS. “One Stop Systems continues to provide leading edge technology products to the high performance computing market, propelling its growth.”