Meeting the Storage Challenge of Nvidia GPU Computing

2020 has been a year of challenges. With all that has gone on, industry events may not seem that important. Many have been cancelled and others have gone virtual. One event in particular, Nvidia GTC, has gone virtual and I for one am glad that it is still being held. 

Nvidia is helping to lead the growing adoption of artificial intelligence (AI), machine learning (ML), and deep learning, which are some of the key technologies that will help humanity solve the kinds of challenges that we have all faced this year. 

Nvidia’s GPU based systems are fundamentally different from CPU powered environments and require storage that can deliver data in parallel, to take advantage of the performance that these systems offer. This is one of the major challenges for GPU based systems - taking advantage of GPU storage that can keep the GPU saturated. Traditional storage, including AFAs, scale out NAS, and even direct attach solutions either cannot scale in a performant manner to meet the demands of these modern environments or they do so by exploding the cost, complexity, and footprint of the data center. And if your GPUs are not being fully utilized, then you are missing out on the benefits that they offer. 

So, if you are planning to attend the Nvidia GTC virtual event this year - and you should - then be sure to visit the Carahsoft booth. Pavilion is a partner of Carahsoft and we will be showcasing how a Hyperparallel Flash Array can deliver unprecedented performance for GPU environments. 

Visit the Carahsoft booth if this describes you:

  • are using a parallel file system, such as Spectrum Scale (GPFS) or Lustre, 
  • use a scale-out NFS solution, 
  • need to access high performance local S3 storage
  • have a rackscale, direct attach solution 

You will discover how Pavilion can uniquely solve the challenge of delivering content to GPU based systems. 

You can also learn more about how the Pavilion Hyperparallel Flash Array can meet the needs of GPU based systems during the GTC session, Performant Architectures for GPU Computing, presented by Carahsoft. This session will be hosted Monday October 5, at 12:00 ET, 9:00 PT. 

We look forward to seeing you there.