HPE introduces systems for artificial intelligence and swarm learning

HPE is launching two new systems, one to accelerate and simplify intelligence and the other to perform remote machine learning and to be able to transfer data in complete confidentiality.

Swarm Learning is a solution for edge and distributed sites. Containers that, with HPE’s Swarm API, easily integrate with AI models, according to the company. The big advantage of machine learning on the edge is that you don’t have to move or copy large amounts of data.

It must thus be possible to share what has been learned, both internally and externally, without accessing the source data. Think here of analyzing CT (computed tomography) or MRI scans to automatically identify certain things, but without anyone having access to the individual scans afterwards.

Surprisingly enough, HPE is said to use the blockchain to integrate members into this kind of project, which implies that only data that the machines learn from themselves can be distributed and not the source data itself. say. It’s not clear what this has to do with blockchain, but perhaps a marketer at HPE thought it was worth mentioning.

machine-learning

In addition, the company is also releasing its HPE Machine Learning Development System. It is actually a machine based on the machine learning specific HPE Apollo 6500 Gen10. This type of machine is equipped by default with at least eight 80GB Nvidia A100 tensor Core GPUs. The new machine is also the result of the acquisition of Determined AI.

HPE promises an end-to-end solution that combines both the machine learning software platform and the computing power, accelerators and networking needed to accurately train AI models at scale. The company prides itself on being faster than a 32 GPU cloud provider, without however giving any further information on this subject.

This kind of machine is however not unique. There are other companies today that produce specific hardware and software for AI and machine learning. One of them is SambaNova which not only develops its own software, but also its own chip for its machines. You’ll find out more in the next issue of Data News coming out this week.

Swarm Learning is a solution for edge and distributed sites. Containers that, with HPE’s Swarm API, easily integrate with AI models, according to the company. The big advantage of machine learning on the edge is that you don’t have to move or copy large volumes of data. It must be possible to share what has been learned, both internally and externally. externally, without accessing the source data. Think here of analyzing CT (computed tomography) or MRI scans to automatically identify certain things, but without anyone afterwards having access to the individual scans. members in this kind of projects, which implies that only data that the machines learn from themselves can be distributed and not the source data itself. It’s not clear what this has to do with blockchain, but a marketer at HPE must have thought it was worth mentioning. Additionally, the company is also releasing its HPE Machine Learning Development System. It is actually a machine based on the machine learning specific HPE Apollo 6500 Gen10. This type of machine is equipped by default with at least eight 80GB Nvidia A100 tensor Core GPUs. The new machine is the result of the takeover of Determined AI. HPE promises in this context an end-to-end solution combining both the machine learning software platform and the computing power, accelerators and networking necessary for to accurately and large-scale train AI models. The company prides itself on being faster than a 32-GPU cloud provider, without giving any further information on this subject. However, this type of machine is not unique. There are other companies today that produce specific hardware and software for AI and machine learning. One of them is SambaNova which not only develops its own software, but also its own chip for its machines. You’ll find out more in the next issue of Data News coming out this week.

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HPE introduces systems for artificial intelligence and swarm learning


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