NVSHMEM 2.0 is introducing a new API for performing collective operations based on the Team Management feature of the OpenSHMEM 1.5 specification. A team is a… 9 MIN READ

CUDA is the software development platform for building GPU-accelerated applications, providing all the components needed to develop applications targeting every… 9 MIN READ

Monitoring GPUs is critical for infrastructure or site reliability engineering (SRE) teams who manage large-scale GPU clusters for AI or HPC workloads. 12 MIN READ

NVIDIA GPUs have become mainstream for accelerating a variety of workloads from machine learning, high-performance computing (HPC), content creation workflows… 8 MIN READ

Figure 1. In the NVSHMEM memory model, each process (PE) has private memory, as well as symmetric memory that forms a partition of the partitioned global… 10 MIN READ

Containers are now ubiquitous, and for good reason; the portability and productivity enhancements they provide have made them a standard component in HPC and… 6 MIN READ