As an NVIDIA Partner Network member, Liqid is always excited to share amazing news from the leading provider of visual computing technologies for AI. NVIDIA recently announced its $100m investment in a new UK-based supercomputer prominently featuring NVIDIA GPUs to help to foster a revolution in digital biology that will “harness partnerships across the U.K. for breakthroughs with a ‘global impact,” according to NVIDIA CEO & Founder Jensen Huang.
The supercomputer, called Cambridge-1, will be the most powerful in the UK and utilized by organizations across the country, including AstraZeneca, GSK, King’s College London, Oxford Nanopore, and Guy’s and St Thomas’ NHS Foundation Trust.
Recognizing how the global pandemic has shined a light on the need to accelerate AI in healthcare as a social and economic imperative, Huang said at a virtual launch event, it is time to “bring together” the collective “superpowers” of genomics and breakthroughs in computing.
Researchers at AstraZeneca, for example, are illustrating Huang’s point according to NVIDIA, utilizing advanced GPU computing to drive that kind of cross-functional innovation. The big pharma provider is now utilizing techniques developed in natural language processing to discover new drugs and advance public health and wellness by approaching problems with multi-disciplinary R&D techniques.
Aggregating and studying medical imagery with powerful, AI-driven visual computing resources from NVIDIA, genetic researchers are developing increasingly granular understandings of how certain diseases evolve, resulting in improvements in treatment and medication or even cures.
Researchers are also able to significantly accelerate DNA research, breaking a DNA strand down into a sequence of billions of characters. This work helped global researchers to better understand Covid-19 and is now being used by NVIDIA Startup accelerator program member Oxford Nanopore to understand and plan for variants of the virus faster.
The Cambridge-1 platform from NVIDIA will be utilized for AI-driven breakthroughs in healthcare and life sciences by universities, healthcare institutions, and more than 1000 startups, according to NVIDIA. Learn more about the Cambridge-1 supercomputer on NVIDIA’s blog.
Find out how composable disaggregated infrastructure from Liqid can further optimize NVIDIA GPU performance by enabling researchers to aggregate, deploy, and redistribute GPU resources as required in this detailed white paper on Liqid Matrix CDI software and intelligent fabrics. To set up a meeting with Liqid CDI experts and find out how Liqid’s software-defined approach to GPU computing can benefit research across disciplines, go here.