HPE GreenLake for High Performance Computing
The industry’s most comprehensive high performance computing (HPC) solutions delivered as a cloud service through one, single sign-on experience with the HPE GreenLake edge-to-cloud platform
NEWS SUMMARY
HPE today announced that it has enhanced its offerings for HPE GreenLake for High Performance Computing, which allows any enterprise, of any size, to gain the world’s most-proven, market-leading HPC solutions through cloud services that can be ordered on-demand and managed in one, unified platform through the HPE GreenLake edge-to-cloud platform.
Enhancements include the addition of purpose-built HPC and AI solutions to enable new capabilities for artificial intelligence, machine learning and big data analytics, speed time-to-insight or train AI models at scale. These enhancements include expanded GPU capabilities, high-performance networking, parallel file storage, and APIs for multi-cloud support to connect to other workflows and remove silos. Additionally, the latest offering lowers the entry point to HPC, from 20 to 10 nodes. Details on HPE GreenLake for HPC can be found here.
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SERVICE OVERVIEW
| Purpose-built HPC and AI system | GPU support | High performance networking | Parallel file storage | Multi-cloud API support |
Capability | HPE Apollo 6500 Gen10 system | NVIDIA A100, A40, and A30 Tensor Core GPUs | HPE Slingshot, the world’s only Ethernet high-speed network for HPC and AI | HPE Parallel File System Storage, a scalable, high performance storage solution
| APIs to connect to other private HPC clouds and public clouds |
Customer Benefits | Features for modeling, simulation, and deep learning workloads | Increments of 2-4-8 accelerators Advance data-intensive projects across AI, ML and analytics Support AI/ML model training | Boost in application performance for larger data-intensive and AI workloads
| Unprecedented throughput for broad HPC and AI needs | Removing silos by connecting to other resources and workloads |
Availability | Available worldwide starting in June 2022 | ||||