NVIDIA NVbandwidth: Your Essential Tool for Measuring GPU Interconnect and Memory Performance
Mirrored from NVIDIA Developer Blog for archival readability. Support the source by reading on the original site.
When you’re writing CUDA applications, one of the most important things you need to focus on to write great code is data transfer performance. This applies to...
When you’re writing CUDA applications, one of the most important things you need to focus on to write great code is data transfer performance. This applies to both single-GPU and multi-GPU systems alike. One of the tools you can use to understand the memory characteristics of your GPU system is NVIDIA NVbandwidth. In this blog post, we’ll explore what NVbandwidth is, how it works…
More from NVIDIA Developer Blog
-
Serve Qwen3.8-2.4T-A95B, a 2.4T-Parameter Model, with Configurable Reasoning on NVIDIA GB300 NVL72
Aug 12
-
How to Choose Full-Stack Observability for NVIDIA AI Factories
Aug 12
-
NVIDIA JetPack 7.2.1 Adds Agentic Video Skills and T3000 Emulation
Aug 11
-
NVIDIA Nemotron 3.5 Lightning Delivers Fast, Accurate Specialized Task Execution for Long-Running Agents
Aug 11
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.