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Given your processes and tooling for data preparation, how would high-performance infrastructure improve the speed and simplicity of your data ingest jobs. https://www.crowdcha...
Working with customers I see a full range of maturity. Starting with people using GPU on the cloud or a couple GPUs in workstation to full production. However it is always key to think about managing the data.
We encounter such a range of customers in the AI adoption journey, from those just looking into it, to others with wide adoption - so many we are talking to now "just don't want to get left behind".
Not directly answering the question, but the easy scalability of the presented solution makes it applicable for those with relatively small amounts of data, but growing with them as they prove out their results and in turn gather more data.
Those charts really tell the story nicely. Have a closer look in the Reference Architecture here: https://www.ddn.com/...
A3I - Accelerated Any Scale AI - DDN.com - A3I - Accelerated Any Scale AI - DDN.com Engineered from the ground up for the AI-enabled data center, DDN’s A3I solutions are fully optimized to handle the spectrum of AI and DL activities concurrently: data ingest and preparation, training, valid...
@darrinpjohnson Totally agree Darrin... AI and the application of deep learning toward medical imaging will immediately impact us as a society and personally.
Performance, ease of implementation AND resilience! David Vellante pointed out how important that last point is. Get it in one package with DDN's A3I with NVIDIA DGX-1. #AImadeeasy
Well expressed - AI workloads are experiencing all of the challenges that are well known from the HPC world. High bandwidth, highly parallel access... and the data is difficult for traditional NAS systems - Small file access, random access, etc.
Your exactly right...DDN's nearly 20 years of experience serving the HPC community brings both the experience and the technology critical to Deep Learning.
Check out ngc.nvidia.com to be able to download containers for every major deep learning framework plus a number of HPC applications. Seconds to deploy and start gaining insight.
#AIMadeEasy
