WE'VE ENTERED THE EXASCALE ERA FOR AI AND HPC
Defined by data growth, converged workloads and digital transformation, the exascale era marks the start of a new era of discovery that demands a new era of capabilities. New infrastructure needs to support a diversity of processor technologies and data-intensive workloads in the architecture to support the converged use of analytics, AI and HPC to unlock the potential of your data and accelerate innovation. Now you can solve your most complex problems with affordable access to supercomputing with HPE Apollo systems.
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The HPE Apollo systems with rack-scale efficiency deliver just the right amount of performance and adaptability with flexible systems that are optimised for HPC and AI workloads.
The HPE Apollo systems with rack-scale efficiency deliver just the right amount of performance and adaptability with flexible systems that are optimised for HPC and AI workloads.
Keep pace with your growth and adapt to various workloads. HPE Apollo 2000 Gen10 Plus system provides a density-optimised system that can support up to four hot-plug servers in a 2U chassis. It delivers the flexibility to tailor the system to the precise needs of your demanding HPC workload with the right compute, flexible I/O and storage options. The system can be deployed with a single server, leaving room to grow.
Solve problems faster with up to 15 Teraflops of single-precision performance per 2U node. The HPE Apollo 6500 Gen10 system increases your return on IT investment by accelerating the performance of your data centre workloads with up to eight GPUs or coprocessors. With high-powered analysis and prediction, you will solve your most demanding problems in the shortest time.
HPE’s new Arm-based high performance computing server, the HPE Apollo 80, brings new technologies to HPC for the first time, including Scalable Vector Extensions and direct-attached High Bandwidth Memory.
The HPE Apollo 20 system offers both air-cooled and liquid-cooled solutions to offer high performance and efficiency for memory-intensive, deep learning (DL) and inference workloads.
Gain superior flexibility, scalability and control with a consumption model on premises or in a colocation, through HPE GreenLake. You can design your own HPC infrastructure solution using a broad range of HPE and partner technologies, as well as optional services spanning infrastructure, apps and workloads.
HPE Apollo Systems portfolio
Seagate transforms manufacturing with deep learning from edge to cloud
Seagate transformed manufacturing quality assurance using deep learning, pushing decision making closer to the edge where it does the most good for product quality and process efficiency.
Challenge
Seagate generates about 15 million images a day. The information that delivers is valuable, but human operators are unable to see it all.
Solution
Seamless integration between HPE Apollo and NVidia powers an AI environment which is, in effect, a supercomputer for machine learning that maximises value and supports better decisions.
"We can take action right when the new problem starts to occur and prevent the problem from affecting any of our product."
Result
Seagate now is able to capture valuable information that allows it to see and understand things that human operators in the past have not been able to see.