HPE Apollo 6500 for Deep Learning
This video dives into the Apollo 6500's capabilities in deep learning environments, emphasizing its computational efficiency and peer-to-peer GPU communication for unparalleled performance.
What is the HPE Apollo 6500 designed for?
The HPE Apollo 6500 is specifically designed for high-performance computing (HPC) and deep learning applications. It features up to eight high-performance NVIDIA GPUs, which help organizations run deep learning recommendation algorithms more efficiently and reduce model training time.
What are the key components of the HPE Apollo 6500 System?
The HPE Apollo 6500 System consists of three key elements: the HPE ProLiant XL270 Gen9 Server tray, the HPE Apollo 6500 Chassis, and the HPE Apollo 6000 Power Shelf. The XL270 Gen9 Server can deliver up to 15 Tflops of single precision performance with eight NVIDIA K80 GPUs and two Intel Xeon E5-2600 v4 processors.
How does the Apollo 6500 enhance performance?
The Apollo 6500 enhances performance through its high ratio of GPUs to CPUs and a dense 4U form factor. Its configurable internal PCIe Gen3 fabric allows for tailored GPU topology, while a high-bandwidth, low-latency network is closely integrated with the accelerators, enabling organizations to maximize their network capabilities.
HPE Apollo 6500 for Deep Learning
published by PCC-IT International
Sign in with LinkedIn