SkyScale’s Tim Miller contends that the recent combination of One Stop Systems and Bressner create an ideal European ‘AI on the Fly’ embedded HPC partner for OEMs addressing the growing HPC at the Edge and HPC on the move markets. In this guest post, Miller explores how high performance embedded computing can address the growing HPC at the Edge and HPC on the move markets.
Parabricks and SkyScale Raise the Performance Bar for Genomic Analysis
“In the modern world of genomics where analysis of 10’s of thousands of genomes is required for research, the cost per genome and the number of genomes per time are critical parameters. Parabricks adaption of the GATK4 Best Practice workflows running seamlessly on SkyScale’s Accelerated Cloud provides unparalleled price and throughput efficiency to help unlock the power of the human genome.”
SkyScale: GPU Cloud Computing with a Difference
In this guest post, Tim Miller, president of SkyScale, covers how GPU cloud computing is on the fast track to crossing the chasm to widespread adoption for HPC applications. “Two good examples of very different markets adopting GPU computing and where cloud usage makes sense are artificial intelligence and high quality rendering.”
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.”
Analytics for Massive Datasets Using High Density GPU Accelerators
Cloud computing providers are now allowing users to rent GPU power in the cloud for big data analytics instead of building or buying their own hardware. In this week’s Sponsored Post, Katie Rivera, of One Stop Systems, explains the technology behind analytics for massive datasets using high density GPU accelerators.
One Stop Systems Showcases HPC as a Service at GTC 2017
In this video from GTC 2017, Jaan Mannik from One Stop Systems describes the company’s new HPC as a Service offering. As makers of high density GPU expansion chassis, One Stop Systems designs and manufactures high performance computing systems that revolutionize the data center by increasing speed to the Internet while reducing cost and impact to the infrastructure.
SkyScale Announces “World’s Fastest Cloud Computing Service”
Today SkyScale announced the launch of its world-class, ultra-fast multi-GPU hardware platforms in the cloud, available for lease to customers desiring the fastest performance available as a service anywhere on the globe. “Employing OSS compute and flash storage systems gives SkyScale customers the overwhelming competitive advantage in the cloud they have been asking for,” said Tim Miller, President of SkyScale. “The systems we deploy at SkyScale in the cloud are identical to the hundreds of systems in the field and in the sky, trusted in the most rigorous defense, space, and medical deployments with cutting-edge, rock-solid performance, stability, and reliability. By making these systems accessible on a time-rental basis, developers have the advantage of using the most sophisticated systems available to run their algorithms without having to own them, and they can scale up or down as needs change. SkyScale is the only service that gives customers the opportunity to lease time on these costly systems, saving time-to-deployment and money.”