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AI Infrastructure: From Planning to Conquering
Every organization wants to use AI to enhance their business practices and processes. Often, getting started and or scaling with the right AI environment and infrastructure can leave you stuck at the start line. Challenges include:
- Cost of GPU-workloads becomes cost prohibitive at scale using the public cloud
- On-prem or co-location offerings make a strong case financially, but fall short from a comparative software stack point of view
- Data scientists have become dependent on the walk-up data science tooling capabilities of the public cloud
- Companies have gaps in staffing in running high-availability GPU infrastructure
Join Pure Storage, Core Scientific and NVIDIA to learn about their complete AI-as-a-service solution!
2020-03-26T17:30:00.000+05:30
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