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Cambridge-1 Supercomputer
Nvidia 100M UK AitakahashiVentureBeat today announced the launch of its $100 million Cambridge-1 supercomputer. The machine will be used to analyze DNA samples and will help scientists to gain new insights. Currently, most supercomputers take months or years to build. This new machine will utilize renewable energy and has 80 Nvidia DGX A100 systems.
New Nvidia OVX Platform
It will also be powered by the new Nvidia 100M UK AitakahashiVentureBeat platform. This will enable the system to run RTX graphics. Combined with AI, it will deliver a significant boost in image quality.
Toolkits & Container
In addition, the company is releasing developer toolkits and container deployments to allow for easier development. It has also announced a new open publishing portal for developers.
Global Graphics Delivery Network
Nvidia 100M UK AitakahashiVentureBeat also has built a global graphics delivery network. That includes its Omniverse Cloud. With the cloud, developers can access shared virtual worlds, connect 3D tools, and collaborate on any device.
AI Model
Nvidia has also created an AI model that helps populate the virtual world. This can be used to accelerate research in genomics and digital biology.
Nvidia is aiming to make AI computing more democratized. The company believes the largest industries will begin to use its Omniverse platform. Currently, 200,000 people have access to its software.
Open Publishing Portal
Nvidia also has launched an open publishing portal for developers to create and also share applications. Developers can access a free lab to get hands-on with the latest AI software.
The DGX A100 Systems
The DGX A100 systems from Nvidia are a software-defined platform that can be configured to optimize computing power on demand. This third-generation DGX platform is available through Nvidia Partner Network resellers worldwide.
Powered by Nvidia AI Enterprise, these DGX systems have the latest high-speed interconnects. They also provide 320 gigabytes of memory for training artificial intelligence data sets. Using these powerful systems, scientists can do a year’s worth of work in months.
DGX Station
Several customers are using the DGX Station A100, including Sony, Recursion, Naver, VinAI, and also the University of Florida. These customers are in the financial, health care, and also logistics industries.
As the first DGX-2 supercomputer to be made available, this new system can address the most complex deep learning models. It is designed to scale to more than 700 petaflops. With an initial price of $399,999, it can be used by researchers and developers around the world.
Substantial Cost Savings
Users of the DGX A100 systems include universities, research facilities, health care organizations, and automakers. These companies believe that their use of the system will help them achieve substantial cost savings. In addition to accelerating research and also development, the system can be used for industrial inspections.
Customers of the DGX SuperPod, which consists of 20 or more DGX A100 systems, include VinAI, MTS, and the University of California-San Diego. These organizations are using the supercomputer to perform internal research.
The Cambridge-1
Nvidia has launched its new supercomputer, Cambridge-1, with the goal of accelerating health research using artificial intelligence. This new machine will be available to researchers from the pharmaceutical, life sciences, and healthcare industries.
Nvidia’s Cambridge-1 is the UK’s fastest supercomputer, currently ranked at number 41 on the Top500 list. The machine is built with 80 DGX A100 computing modules and also features two petabytes of NVMe memory, a 20 terabyte/second InfiniB and also networking system, and also a SuperPOD architecture. It is also powered by renewable energy.
Oxford Nanopore Technologies
The machine is being used by Oxford Nanopore Technologies (ONT) and the Guy’s and St Thomas’ NHS Foundation Trust. ONT uses Nvidia technology to power genomic sequencing platforms and develops AI tools for analysis of DNA and also RNA. These tools will ensure faster turnaround times and also greater accuracy in the analysis of genomic data.
Cambridge-1’s speed is largely thanks to the SuperPOD architecture. This allows for the quick and easy linking of DGX A100 computing modules. Each DGX A100 is equipped with eight A100 GPUs and also 320GB of GPU RAM. Combined with the two petabytes of NVMe storage and also the HDR InfiniB and also networking, the total AI performance is equivalent to eight petaflops.
Final Thoughts:
The machine is expected to generate an infinite amount of never-before-seen brain images, helping researchers gain a better understanding of brain diseases. Researchers will use this machine to teach artificial intelligence models to create synthetic brain images, and also to identify disease-causing variations in human genomes.
