Sunnyvale, Calif., United States & Bangalore, Karnataka, India:
Cerebras Systems, the pioneer in accelerating synthetic intelligence (AI) compute, immediately introduced its continued international enlargement with the opening of a brand new India workplace in Bangalore, India. Led by business veteran Lakshmi Ramachandran, the brand new engineering workplace will give attention to accelerating R&D efforts and supporting native clients. With a goal of greater than sixty engineers by 12 months finish, and greater than twenty at present employed, Cerebras is seeking to quickly construct its presence in Bangalore.
“India in general and Bangalore in particular, is extremely well-positioned to be a hotbed for AI innovation. It has world leading universities, pioneering research institutions and a large domestic enterprise market,” stated Andrew Feldman, CEO and Co-Founder of Cerebras Systems. “Cerebras is committed to being a leader in this market. Under Lakshmi’s leadership, we are rapidly hiring top-notch engineering talent for Cerebras Systems India, as well as supporting sophisticated regional customers who are looking to do the most challenging AI work more quickly and easily.”
As a part of the India enlargement, Cerebras appointed Ramachandran as Head of Engineering and India Site Lead at Cerebras India. Based in Bangalore, Ramachandran brings greater than 24 years of technical and management expertise in Software and Engineering. Prior to becoming a member of Cerebras, she was with Intel in numerous engineering and management roles. Most lately, she was Senior Director at Intel’s Data Center and AI group, liable for delivering key capabilities of deep studying software program for AI accelerators. She has in depth expertise in scaling business operations and establishing technical engineering groups in India.
“I am honored to be part of Cerebras Systems’ mission to change the future of AI compute, and to work with the extraordinary team that made wafer scale compute a reality,” stated Ramachandran. “We have already begun to build a world class team of top AI talent in India, and we are excited to be building core components here that are critical to the success of Cerebras’ mission. We look forward to adding more technology and engineering talent as we support the many customer opportunities we have countrywide.”
The Cerebras CS-2 is the quickest AI system in existence and it’s powered by the most important processor ever constructed – the Cerebras Wafer-Scale Engine 2 (WSE-2), which is 56 instances bigger than the closest competitor. As a consequence, the CS-2 delivers extra AI-optimized compute cores, extra quick reminiscence, and extra cloth bandwidth than another deep studying processor in existence. It was goal constructed to speed up deep studying workloads, decreasing the time to reply by orders of magnitude.
With a CS-2, Cerebras lately set a world report for the most important AI mannequin educated on a single gadget. This is necessary as a result of with pure language processing (NLP), bigger fashions educated with massive datasets are proven to be extra correct. But historically, solely the most important and most subtle know-how firms had the assets and experience to coach large fashions throughout a whole lot or 1000’s of graphics processing items (GPU). By enabling the potential to coach GPT-3 fashions with a single CS-2, Cerebras is enabling the whole AI ecosystem to arrange and prepare massive fashions in a fraction of the time.
Customers around the globe are already leveraging the Cerebras CS-2 to speed up their AI analysis throughout drug discovery, clear vitality exploration, most cancers therapy analysis and extra. For instance, pharmaceutical chief GSK is now capable of prepare complicated epigenomic fashions with a beforehand prohibitively massive dataset – made attainable for the primary time with Cerebras. AstraZeneca is iterating and experimenting in real-time by working queries on a whole lot of 1000’s of abstracts and analysis papers – a course of that beforehand took over two weeks with a GPU cluster and is now being achieved in simply over two days with Cerebras. And Argonne National Laboratory is utilizing a CS-2 to determine how the virus that causes COVID-19 works. They are capable of run simulations with a single CS-2 that may require 110-120 GPUs.
The latest worldwide enlargement in India comes on the heels of Cerebras’ international progress throughout Japan and Canada prior to now two years. With clients in North America, Asia, Europe and the Middle East, Cerebras is delivering business main AI options to a rising roster of shoppers within the enterprise, authorities, and excessive efficiency computing (HPC) segments, together with GlaxoSmithKline, AstraZeneca, TotalEnergies, nference, Argonne National Laboratory, Lawrence Livermore National Laboratory, Pittsburgh Supercomputing Center, Leibniz Supercomputing Centre, National Center for Supercomputing Applications, Edinburgh Parallel Computing Centre (EPCC), National Energy Technology Laboratory, and Tokyo Electron Devices.
For extra info on Cerebras India, please go to www.cerebras.internet.
About Cerebras Systems
Cerebras Systems is a workforce of pioneering laptop architects, laptop scientists, deep studying researchers, and engineers of every type. We have come collectively to construct a brand new class of laptop system, designed for the singular goal of accelerating AI and altering the way forward for AI work without end. Our flagship product, the CS-2 system is powered by the world’s largest processor – the 850,000 core Cerebras WSE-2 permits clients to speed up their deep studying work by orders of magnitude over graphics processing items.
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