Life Sciences

Life Sciences and Healthcare

Now, more than ever, the advancement of life sciences and healthcare are prominent thanks to deep learning and the massive amount of patient data available for processing. Scientists are able to track aggressive prostate cancer, reduce breast cancer risks, diagnose heart disease earlier, and even detect concussions on a high school football field from taking a picture with a smartphone and pairing it with deep learning. GPU-accelerated deep learning solutions can be used to design more sophisticated neural networks for healthcare and medical research applications. The resources required to run these neural networks are continuing to grow and require large-scale, multi-GPU servers to handle processing. Companies are faced with trying to scale their operations for the advancement of life science on cloud services such as AWS or GCP only to realize that prolonged usage of these services can be prohibitively expensive.

Cirrascale Cloud Services has been using GPUs for life sciences, such as the NVIDIA® Tesla® V100 GPU Accelerator, to make groundbreaking improvements across various healthcare applications. Since so much overall GPU compute power is needed, the Cirrascale Cloud Services platform is a much better choice for those companies needing dedicated, long-term cloud-based servers. You'll get charged one flat rate per month and that's it. No ingress or egress fees, no overage charges, no surprises... and we provide a level of support that goes beyond other providers.

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The Latest Healthcare and Life Sciences News

Tap in to the NVIDIA Developer News Center and look at blog entries and news articles written specifically about healthcare and life sciences. Read, comment, and share with your colleagues all the latest news and information.

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NVIDIA GPU-Accelerated Applications Catalog

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