How to Cost-effectively Meet the HPC Requirements of AI and Other Modern Compute-intensive Applications

Many companies are looking to use artificial intelligence (AI) to enhance their business operations and improve the quality of customer engagements. With AI going mainstream there will be a growing demand for HPC resources to conduct machine learning and neural net tuning. Download this paper to learn:

  • Why companies need new compute infrastructures
    for AI
  • How HPC requirements for AI and new
    compute-intensive applications differ from other business applications
  • What are the key considerations when looking for a suitable HPC solution to support your AI efforts?
  • …and more!

The paper finds that what’s needed is a hardware architect that matches the business needs of the company. And while cloud has its role, on-premises solutions offer the reliability, performance, and security needed in many companies today for the most demanding AI workloads.

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