Nvidia today announced that its new Ampere-based data center GPUs, the A100 Tensor Core GPUs, are now available in alpha on Google Cloud. As the name implies, these GPUs were designed for AI workloads, as well as data analytics and high-performance computing solutions.
The A100 promises a significant performance improvement over previous generations. Nvidia says the A100 can boost training and inference performance by over 20x compared to its predecessors (though you’ll mostly see 6x or 7x improvements in most benchmarks) and tops out at about 19.5 TFLOPs in single-precision performance and 156 TFLOPs for Tensor Float 32 workloads.
“Google Cloud customers often look to us to provide the latest hardware and software services to help them drive innovation on AI and scientific computing workloads,” said Manish Sainani, Director of Product Management at Google Cloud, in today’s announcement. “With our new A2 VM family, we are proud to be the first major cloud provider to market Nvidia A100 GPUs, just as we were with Nvidia’s T4 GPUs. We are excited to see what our customers will do with these new capabilities.”
Google Cloud users can get access to instances with up to 16 of these A100 GPUs, for a total of 640GB of GPU memory and 1.3TB of system memory.
Nvidia’s top scientist develops open-source ventilator that can be built with $400 in readily available parts
Nvidia Chief Scientist Bill Dally has released an open-source ventilator hardware design he developed in order to address the shortage resulting from the global coronavirus pandemic. The mechanical ventilator design developed by Dally can be assembled quickly, using off-the-shelf parts with a total cost of around $ 400 — making it an accessible and affordable alternative to traditional, dedicated ventilators, which can cost $ 20,000 or more.
The design created by Dally strives for simplicity, and basically includes just two central components — a solenoid valve and a microcontroller. The design is called the OP-Vent, and in the video below you can see how bare-bones it is in terms of hardware compared to existing alternatives, including some of the other more complex emergency-use ventilator designs developed in response to COVID-19.
Dally’s design, which was developed using input from mechanical engineers and doctors, including Dr. Andrew Moore, a chief resident at Stanford University and Dr. Bryant Lin, a medical devices expert and company co-founder, can be assembled in as little as five minutes, and is small enough to fit in a Pelican case for easy transportation and potability. It also employs fewer parts and uses less energy than similarly simple designs that adapt the manual breather bags used by paramedics in emergency response.
Next up for the design is getting it cleared by the FDA under the agency’s Emergency Use Authorization program for COVID-19 equipment, and then seeking manufacturing partners to pursue large-scale manufacturing.
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