HPE Has Unveiled A New Machine Learning Development System To Accelerate The Path To AI
HPE’s new Machine Learning development system eliminates the complexity, cost of building and training models with a complete, out-of-the-box solution that accelerates gainin insight.
Hewlett Packard Enterprise said it is working to remove barriers so that companies can easily build and train machine learning models at scale.
HPE’s new Machine Learning Solution Development System is designed specifically for AI and is an end-to-end solution that brings together a platform of software, computing and accelerators and communications to develop and train AI models more accurately, faster and at scale.
This development system results from the acquisition of AI Determined to combine the Machine Learning platform with its AI and supercomputing solutions. Now, users will be able to accelerate the time required to derive value from their models and start collecting results from building and training those models.
On the other hand, a German startup specializing in AI, called Aleph Alpha, is also using HPE’s ML Development System to train its multimodal AI, which includes Natural Language Processing and computer vision. Being able to process images and text in five languages with near-human compression has meant that its system is up and running in record time.
“We are seeing amazing efficiency and performance, over 150 teraflops, when using the HPE Machine Learning Development System. The system was set up quickly and we started training our models in hours instead of weeks. Being able to run these massive workloads, combined with our ongoing research, relying on an integrated solution for deployment and monitoring, made all the difference,” said Jonas Andrulis, founder and CEO of Aleph Alpha.
In the words of Justin Hotard, executive vice president and general manager, HPC and AI, at HPE: “Enterprises are looking to incorporate AI and ML to differentiate their products and services, but often face the complexity of configuring the infrastructure needed to build and train accurate AI models at scale.” He adds, “The HPE ML development system combines our comprehensive end-to-end HPC solutions for deep learning with our innovative ML software platform in a single system, providing a high-performance out-of-the-box solution to accelerate the time to value and results with AI.”
According to IDC, organizations have yet to achieve certain AI infrastructure, which is more significant and costly for enterprises. HPE’s ML development system helps enterprises avoid the complexity associated with adopting AI infrastructure by offering a single solution. It also helps improve accuracy in models faster with state-of-the-art distributed training.
Thanks to state-of-the-art training, the system also helps improve model accuracy, which is key for machine learning algorithms. The HPE Machine Learning development system offers optimized compute, accelerated compute and interconnect, which are key performance factors for scaling models efficiently for a mix of workloads.