What is swarm computing?

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Photo: Colossus Cloud/Pixabay

SwarmOne has emerged from stealth mode after completing more than 340,000 hours of AI training with customers.

The company announced that it is the world’s first swarm computing company, and said it is set to revolutionise AI training by offering an instance-less software stack that dynamically and seamlessly performs AI training tasks across a global swarm of GPUs.

SwarmOne offers a different way of using GPUs for AI training. The technology behind the platform aggregates the AI model, training hyperparameters and data, abstracting away all the common MLOps, DevOps, SecOps and FinOps tasks, and then processing across multiple GPUs, which are situated in SwarmOne’s global network of certified data centres.

This means data scientists are free of the cloud, no longer having to set up and manage or optimize GPU instances. It also gives them access to massive compute power, all of which leads to better AI models, much quicker than with traditional providers.

On top of this, data scientists can train right from their development environment, with any AI Training framework whether it be PyTorch, TensorFlow, or HuggingFace, by adding just two lines of code. They will know the cost of training before they submit their training tasks, meaning that there are no more surprise costs from overruns.

Companies such as Salt Security – an AI driven firm in the field of API Security – are already using SwarmOne’s platform, with existing customers reporting an 84% time reduction before training begins, a 91% improvement in delivery time, a 97% increase in AI quality and performance and a 67% reduction in compute costs.

“SwarmOne boosted personnel efficiency by about 90%, significantly reduced training costs and enhanced delivery,” said Michael Erlihson, AI tech lead at Salt Security.

“This made us far more competitive in our market.”

“We built this platform because, like most data scientists, I spent way too much time sourcing, provisioning and managing GPU instances for AI training,” said Ben Boren, CTO.

“For AI to thrive, it must break free from cloud providers like Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure. The barriers that exist in AI training are clear. But it doesn’t have to be this way. Swarm computing can become the new standard for AI training.”

“The growth of AI, which is currently constrained by the huge amount of engineering cost and availability of GPUs, depends on a revolution in the way that training is done,” said Harel Boren, co-founder and CEO.

“As the world’s first and only instance-less platform for AI training, we want to change the way that compute is used by humankind for good.”