Hewlett Packard Enterprise (HPE) has announced a comprehensive set of computing innovations to accelerate Deep Learning analytics and insights across all organizations with innovations spanning systems design, partner ecosystem collaboration, and flexible consumption models from HPE Pointnext Services.
The company claims that it has been delivering comprehensive, workload optimized compute solutions for all AI and Deep Learning with its purpose-built HPE Apollo portfolio that maximizes performance, scale and efficiency.
With the latest innovations specifically targeted to Deep Learning, leveraging capabilities from the recent SGI acquisition, HPE now offers greater choice for larger scale, dense GPU environments and addresses key gaps in technology integration and expertise with integrated solutions and services offerings.
“Customers pursuing Deep Learning projects face a variety of challenges including a lack of mature IT infrastructure and technology capabilities leading to poor performance, efficiency and time to value,” said Vikram K, Director, Datacenter and Hybrid Cloud, Hewlett Packard Enterprise India.
“To address these challenges, HPE is introducing new optimized GPU compute platforms, an enhanced collaboration with NVIDIA and HPE Pointnext Services from the core datacenter to the intelligent edge.”
The new portfolio of capabilities includes the new HPE SGI 8600, which is a high performance-computing platform to provide scale and efficiency for the complex, large environments. It also includes interactive rendering from the datacenter and support for NVIDIA’s next generation Tesla GPUs based on its Volta architecture.
According to the announcement, HPE and NVIDIA will jointly address GPU technology integration and Deep Learning expertise challenges to accelerate the adoption of technologies that provide real-time insights from massive data volumes.
“As the artificial intelligence era takes hold, enterprises are increasingly adopting NVIDIA’s GPU computing platform to generate insights from decades of untapped data,” said Ian Buck, General Manager, Accelerated Computing at NVIDIA.
“Expanding our collaboration with HPE around deep learning will help enterprises deploy, manage and optimize their GPU computing infrastructure and realize the benefits of AI and deep learning in their business.”
Building on the recent HPE Supercomputer win at Tokyo Institute of Technology, which is one of the largest NVIDIA Tesla P100 GPU based clusters, this collaboration will deliver enhanced Centers of Excellence for benchmarking, code modernization and proof of concept initiatives. The locations include Korea, Sydney, Grenoble, Bangalore and Houston and early access program for Volta-based NVIDIA Tesla SXM2 GPU systems powered with eight GPUs for selected customers in the fourth quarter of this year.
The company states that Pointnext will provide the knowledge and expertise through its Advisory, Professional and Operational Services to help achieve desired business outcomes, including faster time to value. With AI and Deep Learning requiring scalable infrastructure, Pointnext will offers HPE Flexible Capacity, a service that provides on-demand capacity, combining the agility and economics of public cloud with the security and performance of on-premises IT.