EchoStreams Teams Up with Orange Silicon Valley, SQream Technologies, and Caltech to Demonstrate GPU Accelerated Database Applications in Big Science

By SQream

11.17.2016 twitter linkedin facebook

SALT LAKE CITY– November 16, 2016 — SC16 – SQream Technologies, a GPU accelerated database startup from Israel, teaming up with Orange Silicon Valley, EchoStreams, and Caltech, and using the world’s highest density “Supercomputer-in-a-Box” (Klimax-210) from Cocolink (S. Korea), has developed a system deployed on the exhibit floor of Supercomputing 2016 (SC16) in Salt Lake City that runs SQream’s powerful GPU accelerated database on a compact 100 TeraFLOP 4 RU Supercomputer to load and process 20 TB/hr of science data.

By using the server platform’s capability of hosting up to 20 NVIDIA GPUs, and codes developed by Caltech researchers at the LHC, the team plans to demo and benchmark systems handling up to 50 TB/hr. This is a feat for a single database node that will prove to be extremely useful to Big Science programs such as the high energy physics experiments at the LHC, as well as other Big Data experiments in basic energy sciences, as well as genomics, climate, and other domain sciences.

High energy physics experiments, with their high volume, velocity, and variability of data already approaching an exabyte under management at sites around the world, are a unique platform to architect this new class of exascale architecture, and meet the future needs of data intensive sciences. The experiments at the LHC are instrumented with close to a hundred million electronic channels and are exposed to data rates of up to a petabyte per second. The data need to be carefully filtered in real time and analyzed to provide crucial knowledge on fundamental questions, including the nature of the dark matter that makes up 85% of the matter density in the universe, and the long-term stability of our universe.

“As we enter the era of the High-Luminosity LHC in the next decade, we will be in entirely new territory in terms of Big Data in science,” said Caltech’s Professor Harvey Newman, who leads a research program that uses high energy physics as a testbed for exascale ecosystem architectures of the future.

“SQream is excited to take on the world’s biggest data science challenges – exploring the basic ingredients of the universe, together with Orange, Caltech, and EchoStreams,” said Ami Gal, CEO and Co-Founder at SQream Technologies.

“We are pleased to be part of this collaboration with Caltech, Orange, and SQream. EchoStreams working closely with Cocolink provides a very High Performance Computing (HPC) Klimax-210, supporting up to 20 GPU in a 4U server all in the same PCIe root complex. This enables researchers to fully utilize all GPU computing capabilities without any compromise,” said Andy Lee, Director of Product Marketing at EchoStreams.

“We are working on providing solutions to Big Data processing challenges in science such as the ones of the largest science data repository in the world: the distributed data of the Large Hadron Collider program. Such science applications can be extremely valuable and the principles can be ported downstream to various industry verticals in the Telecom and Enterprise domain,” said Gabriel Sidhom, Vice President of Technology and Development at Orange Silicon Valley.

The team is currently demonstrating Cocolink Klimax-210 at Supercomputing 2016 in Salt Lake City, Utah, November 14th through 17th at booth #2537.

About Orange Silicon Valley

Orange Silicon Valley (OSV) is the Bay Area division of Orange, one of the world’s leading telecommunications operators, serving 263 million customers across 30 countries. Through research, development, and strategic analysis, OSV actively participates in the disruptive innovations that are changing the way we communicate. OSV contributes to and engages with the regional Silicon Valley ecosystem through numerous programs, such as the Orange Fab startup accelerator, Orange Institute, and ongoing collaborations with OSV partners.

OSV thrives on collaboration, working closely with Silicon Valley & San Francisco to foster innovation and seek out disruption. In an accelerating present OSV anticipates that the future is closer than we think. OSV acts as guides to the digital revolution occurring in the San Francisco Bay Area, regularly hosting startups, businesses, and corporate leadership from around the world.

About SQream

Big Data analytics software vendor SQream Technologies ( introduces a high-performing, next-generation GPU-powered database delivering the solutions required for today’s terabyte to petabyte scale pressing data needs. SQream DB quickly relieves Big Data and complex analytics pains, while leveraging existing resources. With minimum cost, hardware, and infrastructure changes, SQream enables entities that are dealing with rapidly scaling data to easily ingest, store, and analyze extremely high data volumes at a very low latency. With SQream, the power of a full-rack database machine is condensed into a standard 2U server, delivering the highest cost-performance in Big Data analytics.

About EchoStreams

EchoStreams Innovative Solutions LLC is a US-based, white-box OEM/ODM solution platforms provider committed to turn creative ideas into purpose-built innovative and disruptive solutions. EchoStreams partners with technology leaders and solution integrators to offer purpose-built solutions to companies who are supporting the world’s IT infrastructures. EchoStreams’ solution platforms can be found on, and fully integrated turnkey solutions can be OEM’ed through qualified integrators and value-add distributors listed on our website.

About Caltech Exascale

Caltech’s team of high energy scientists and network engineers at the LHC work on R&D of future exascale architectures. Prof. Newman, heading the group, has been architecting, developing, and operating state-of-the-art international networks and collaborative systems serving the high energy and nuclear physics communities. The group’sco-Pi Prof. Spiropulu is working on data-driven solutions for science domain challenges that involve Big Data. More information: