Nvidia GPU Cloud (NGC) now features a total of 32 containers, triple the number it launched with last year. This rapid growth shows the growing demand for AI computing power and Nvidia’s desire to supply it.

The announcement was made at the International Supercomputing Conference in Frankfurt this week. During last year’s conference, Nvidia added eight containers.

In a statement, Nvidia said:

“Over the past three years, containers have become a crucial tool in deploying applications on a shared cluster and speeding the work, especially for researchers and data scientists running AI workloads.

These containers make deploying deep learning frameworks — building blocks for designing, training and validating deep neural networks — faster and easier.”

Machine learning is highly demanding. Nvidia has different names for its new containers which are optimised for specific tasks.

• CHROMA – Optimised for maths and physics models
• AMBER – Optimised for molecular simulations
• CANDLE – Optimised for cancer research

Developers can write their programmes in their framework of choice.

Whata are your thoughts on Nvidia’s AI supercomputing containers?

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