NVIDIA GPUs power a wide variety of resource-intensive applications, so it’s important to have comprehensive visibility into each GPU instance to ensure that it is supporting workloads efficiently. Identify the source of bottlenecks in GPU resources.In this post, we’ll show you how you can use our integration to: And because collected telemetry is deeply integrated with the rest of the Datadog platform, organizations can correlate GPU performance and usage with other critical parts of their AI stack. This capability enables you to monitor the performance of all your GPU workloads in a single platform, regardless of whether they are containerized, hosted locally, or deployed in the cloud. Now, organizations can use Datadog to seamlessly collect metrics exposed by the DCGM Exporter from widely used GPU architectures, such as NVIDIA’s Tesla, A100, and Kepler series. With the rapidly growing popularity of AI-based applications, and NVIDIA’s role in supporting them at scale, an increasing number of organizations need to efficiently monitor NVIDIA’s GPU performance alongside the rest of their AI stack.Īs part of our ongoing commitment to providing our customers with increased visibility into the layers of their AI stack, we’re excited to announce our integration with NVIDIA Data Center GPU Manager (DCGM) Exporter, a suite of diagnostic and management tools for monitoring GPUs in high-performance environments. In these environments, GPUs are required because of their ability to handle parallel computing, which CPUs alone cannot do effectively. Due to their high-performance capabilities, NVIDIA’s discrete graphics processing units (GPUs) now account for approximately 80 percent of the market share for production-level AI, gaming, graphics rendering, and other complex data processing tasks. NVIDIA is well known for its computing advancements across a broad range of industries and has become the clear leader in the artificial intelligence (AI) space.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |