Presto is an open source, distributed SQL engine for running fast, interactive queries on very large datasets. On NVIDIA GPUs, Presto delivers peak performance for analytical query workloads and provides low latency for users and agents. GPU-accelerated Presto brings low latency to your analytical workloads, keeping you and your agents unblocked and iterating as fast as possible.
This post demonstrates efficient multi-GPU Presto execution on scaled analytical benchmarks using both single-node NVIDIA DGX B200 and multinode NVIDIA GB200 NVL72. We also highlight the importance of NVIDIA GPUDirect Storage (GDS) for high I/O throughput on NVIDIA GB200 NVL72 when paired with an IBM Storage Scale System data source.
For more details about GPU-accelerated Presto and the importance of UcxExchange for high performance communications between GPU workers, see Accelerating Large-Scale Data Analytics with GPU-Native Velox and NVIDIA cuDF.
How does GPU-accelerated Presto deliver peak performance?
GPU-accelerated Presto uses NVIDIA cuDF algorithms for peak performance and NVIDIA NVLink for the fastest GPU-to-GPU communication. A single DGX B200 node with eight GPUs supports eight Presto GPU workers, all connected over NVLink 5.0 with 1,800 GB/s bidirectional bandwidth. GPU-accelerated Presto on DGX B200 shows clear performance advantages over Presto CPU running on 8-10 nodes of Intel Xeon 6642Y servers.
