# GPUDirect

NVIDIA technology family for direct data movement and access between data center GPUs and network, storage, or peer devices.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## Running Low-Latency Analytical Workloads with GPU-Accelerated Presto on NVIDIA GB200 NVL72

DevFeed: [Running Low-Latency Analytical Workloads with GPU-Accelerated Presto on NVIDIA GB200 NVL72](<https://devfeed.tech/articles/running-low-latency-analytical-workloads-with-gpu-accelerated-presto-on-nvidia-gb200-nvl72-6935.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/running-low-latency-analytical-workloads-with-gpu-accelerated-presto-on-nvidia-gb200-nvl72/>)

Author: Tanya Lenz

Published: 2026-07-08T16:05:25Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [GPU](<https://devfeed.tech/topics/gpu.md>), [benchmarking](<https://devfeed.tech/topics/benchmarking.md>), [SQL](<https://devfeed.tech/topics/sql.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [GPUDirect](<https://devfeed.tech/topics/gpudirect.md>), [NVIDIA DGX](<https://devfeed.tech/topics/nvidia-dgx.md>), [NVLink](<https://devfeed.tech/topics/nvlink.md>), [parquet](<https://devfeed.tech/topics/parquet.md>), [C++](<https://devfeed.tech/topics/c-plus-plus.md>), [Optimization](<https://devfeed.tech/topics/optimization.md>)

Tags: [benchmarking](<https://devfeed.tech/tags/benchmarking.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [c-plus-plus](<https://devfeed.tech/tags/c-plus-plus.md>), [cache](<https://devfeed.tech/tags/cache.md>), [communication](<https://devfeed.tech/tags/communication.md>), [cpu](<https://devfeed.tech/tags/cpu.md>), [data](<https://devfeed.tech/tags/data.md>), [data-analytics](<https://devfeed.tech/tags/data-analytics.md>), [data-science](<https://devfeed.tech/tags/data-science.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [developer-tools-techniques](<https://devfeed.tech/tags/developer-tools-techniques.md>), [featured](<https://devfeed.tech/tags/featured.md>), [gb200](<https://devfeed.tech/tags/gb200.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [gpudirect](<https://devfeed.tech/tags/gpudirect.md>), [latency](<https://devfeed.tech/tags/latency.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [multi-gpu](<https://devfeed.tech/tags/multi-gpu.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvidia-dgx](<https://devfeed.tech/tags/nvidia-dgx.md>), [nvl72](<https://devfeed.tech/tags/nvl72.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [performance](<https://devfeed.tech/tags/performance.md>)

### AI overview

This article presents GPU-accelerated Presto for low-latency analytical SQL workloads on large datasets. It compares single-node multi-GPU execution on NVIDIA DGX B200 and multinode NVIDIA GB200 NVL72 systems with CPU-based Presto, highlighting NVLink communication, GPUDirect Storage, cuDF algorithms, Parquet data, and benchmark results.

### Source excerpt

Presto is an open source, distributed SQL engine for running fast, interactive queries on very large datasets. On NVIDIA GPUs, Presto delivers peak performance...