Maximum Efficiency for Inferencing with your AI workloads on HPE ProLiant and NVIDIA GPUs
You can maximize efficiency for inferencing on AI using HPE ProLiant servers with NVIDIA GPUs. Read this solution brief to discover the details.
What are the key features of HPE ProLiant Gen11 servers?
HPE ProLiant Gen11 servers are designed to support advanced AI and ML workloads with features such as up to 96 cores per socket, energy-efficient DDR5 memory bandwidth of up to 6 TB, and support for up to 8 single-wide GPUs or 4 double-wide GPUs per server. They also utilize the PCI Express 5.0 bus, which doubles data transfer rates, enhancing performance for demanding applications.
How do HPE and AMD enhance business intelligence?
HPE and AMD enhance business intelligence by providing tight application integration and automation, which creates efficient data pipelines. Their solutions allow for seamless data ingestion from the edge to the cloud, ensuring data security throughout the process. Additionally, they support intelligent applications like video analytics and Natural Language Processing, which help businesses gain valuable insights.
What security measures are in place for HPE ProLiant Gen11 servers?
HPE ProLiant Gen11 servers incorporate a zero trust security posture, including silicon root of trust technology that ensures server authentication at boot-up. The servers are also backed by HPE's secure supply chain practices, which focus on corruption-free manufacturing and the integrity of every component, providing a robust security framework for data protection.
Maximum Efficiency for Inferencing with your AI workloads on HPE ProLiant and NVIDIA GPUs
published by Consiliant Technologies LLC
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