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.

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

Do NOT follow this link or you will be banned from the site!
Share This