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Nvidia’s ‘GPU Cloud’ Adopts Containers for Artificial Intelligence Development

Nvidia deep learning smallNvidia’s entry into the cloud market is differentiated from public cloud leaders by its focus on delivering development tools for training artificial intelligence models and running AI workloads using application containers. Nvidia CEO Jensen Huang unveiled the “GPU-accelerated cloud platform optimized for deep learning” during the company’s annual technology conference on Wednesday (May 10). Its AI development stack runs on the company’s distribution of Docker containers and is touted as “purpose built” for developing deep learning models on GPUs. Among the goals is giving AI developers easier access to the growing suite of deep learning software available for AI applications. The on-ramp approach to GPU-based cloud computing addresses growing requirements to gather into a single stack the proliferation of deep learning frameworks, drivers, libraries, operating systems and processors used for AI development. Read HPCwire article HERE.

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