IMAGE PROCESSING,

BIO INFORMATICS,

SIMULATIONS AND MORE

SkyScale’s high performance computing appliances can add tremendous compute power for many medical applications providing up to 16 Tesla P100GPU engines per platform for the World’s Fastest Cloud compute capability.

Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data. Bioinformatics develops and applies computationally intensive techniques to understand biological processes. Without technology, certain aspects of bioinformatics would not be practical or possible. For example, comparing multiple protein sequences by hand is impractical and annotating genomes is impossible because most genomes are too large to annotate by hand. But now that technology is as advanced as it is, bioinformatics can greatly benefit from GPU acceleration and Flash Storage. GPU-BLAST, MUMmerGPU and BarraCUDA are three applications that can benefit from GPU acceleration.

There are many different applications in which the field of bioinformatics is used, including medicine. Bioinformatics enables advances such as drug discovery, diagnostics and disease management. The methods of bioinformatics can be applied to diagnose cancer sub-types, predict survival time of cancer patients, identify the mode of action of candidate drugs, model protein binding, and model drug target properties. It’s possible, that in the future, doctors will be able to perform a genomic analysis on cancer patients and the results of that analysis will help them determine the drug treatment that will be the most effective for that particular patient. Speeding up bioinformatics with GPUs will hopefully help advance the field for the benefit of all.

Quantum chemistry (QC) simulations are key to the discovery of new drugs and materials and consume a large part of the HPC data center’s workload. 60% of the top QC applications are accelerated with GPUs today.

KEY FEATURES OF THE TESLA P100 FOR QUANTUM CHEMISTRY

1LSMS
  • Servers with P100 replace up to 36 CPU servers for applications such as VASP and LSMS

  • 60% of the top QC applications are GPU-accelerated

  • Key math libraries like FFT and BLAS

  • Up to 5.3 TFLOPS per second of double precision performance per GPU

  • Up to 16 GB of memory capacity for large datasets

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HPC Cloud Services With the Leadership Features You Need

Dedicated Hardware

With root access to bare metal multi-GPU and clustered systems, you control the compute power to your entire platform. No virtualization and no sharing means all the GPUs drive your applications with world-class speed.

Security

SkyScale’s supercomputing platforms are located in world-class industry leading data centers with unmatched (and certified) physical and cyber security, plus redundancies resulting in not a single minute of downtime in seven years! Your access is always available and your data is always protected and secure. Download our Security and Reliability Document. 

Access to Experts

SkyScale automates equipment and processes, not communication. Working with SkyScale means always having access to experts who understand your needs and can resolve your needs quickly, leaving you to focus on the truly valuable things that drive your productivity and success.

Time Maximization

There’s nothing more important to SkyScale than your time. Our goal is to facilitate and enhance your productivity, leaving you more time to do what you want to do. Running your applications on SkyScale’s world-class platforms minimizes your time to results, value, and satisfaction.

Save on Capital Costs

Lease only what you need when you want it and scale up or down as needed, saving on security and capital costs for equipment and on-prem data center space and maintenance.

Highest Performance

With exclusive access to as many as 16 NVIDIA V100s or P100s in a single node, your applications are running on the world’s highest performing multi-GPU platform. Couple that with state-of-the-art high speed low latency NVMe storage and your project time to completion just got a lot shorter.