Leveraging Persistent Memory for Real-Time Analytics Workloads

To reach adequate performance levels, users must find ways to remove the bottlenecks that slow down their access to data. At Penguin Computing, the best approach to this problem we have seen is [...]

Penguin Computing Joins AMD to Deliver HPC Capability to Researchers at NYU, MIT and Rice University to Fight COVID-19

AMD has selected Penguin Computing to join its COVID-19 HPC Fund, which was established to provide research institutions with computing resources to accelerate medical research on COVID-19 and [...]

An Inside Look at the Magma Supercomputer

Penguin Computing deployed a new supercomputer for Lawrence Livermore National Laboratory in partnership with Intel and CoolIT. It is one of the first deployments of Intel® Xeon® Scalable 9200 [...]

Intel has Named Penguin Computing a 2020 U.S. Partner of the Year

Intel has named Penguin Computing a 2020 U.S. Partner of the Year. Penguin Computing has earned this award for an innovative Linux solution for high-performance computing on-premise and in the [...]

Providing HPC Resources to Support COVID-19 Research

Penguin Computing has partnered with AMD and our customer, Lawrence Livermore National Laboratory, to upgrade the Corona supercomputer with new GPUs to support the ongoing research of the [...]

Intel Customer Spotlight Webinar with LLNL Ft. Penguin Computing

Our customer, Lawrence Livermore National Laboratory (LLNL) recently sat down with Industry Influencer, Tim Crawford for an episode of Intel’s Customer Spotlight. The episode delves into what [...]

Key Takeaways from SC19

In November, we had the privilege of attending and participating in Supercomputing 2019, the international conference for high performance computing (HPC) located in Denver, Co. In addition to a [...]

Leveraging the Benefits of Hybrid HPC Computing

Hybrid HPC computing combines public and on-premise compute resources to offer organizations a flexible, cost effective approach to meeting their users’ requirements. To fully augment [...]