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Data Processing Solutions

Data Processing

Data engines ready for AI.

NVIDIA cuDF | NVIDIA cuVS

Overview

New Data Demands

To transform your enterprise, AI agents need continuous access to your data, putting strain on data infrastructure not designed for agentic reasoning loops.

By accelerating unstructured and structured data processing with NVIDIA cuDF and NVIDIA cuVS, enterprises can meet the new volume and velocity of data demands from AI while leveraging the data infrastructure they’ve invested in for years.

The world's most popular data engines run on the accelerated computing platform—helping agents access structured data living in tables and unstructured data living as PDFs, emails, images, and videos across the enterprise.

Accelerating Data Processing for AI Agents

Watch Jensen Huang describe how the NVIDIA Vera CPU delivers higher performance and efficiency to run 3x faster SQL analytics with Starburst and increase the reliability of real-time data streaming with Redpanda by up to 6x.

Watch Keynote

NVIDIA cuDF and cuVS Adopted by World's Leading Data Platforms

Learn how leading data platforms are using NVIDIA cuDF and cuVS to accelerate structured analytics and unstructured vector search for AI-ready data.

Read the Blog

Benefits

Transform Your Data for AI

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Massive Performance Gains

The accelerated computing platform delivers up to 20x speedup for data processing, enabling enterprises to take action faster with new use cases. 

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Significant Cost Savings

By running on the NVIDIA optimized stack, organizations have saved 80% in costs or more, helping your data infrastructure do more with less.

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Easy to Adopt

The world’s most popular analytics and vector data engines have drop-in accelerators to make adoption straightforward, including Apache Spark, OpenSearch, and more.

Engaging Experiences

AI-Ready Data

With context from 90% of enterprise data stored in PDFs, messages, and emails with NVIDIA cuVS, and ground truth from terabytes of structured data processed in minutes with NVIDIA cuDF, your data is ready for agentic AI. 

Products

NVIDIA CUDA-X for Data Processing

cuDF and cuVS are CUDA-X™ toolkits, built on highly optimized CUDA™ primitives, to accelerate the data processing ecosystem.

cuDF for Structured Data

  • Accelerates analytics engines on NVIDIA GPUs
  • Includes drop-in accelerators for Apache Spark, Presto, Polars, and DuckDB 
  • Executes analytical queries in minutes from hours
Learn More About cuDF

cuVS for Unstructured Data

  • GPU-accelerated vector search and index building for RAG and AI pipelines
  • Integrates with OpenSearch, Elastic, Milvus, and more
  • Reduces vector index build times from hours to minutes
Learn More About cuVS

Adopters

Data Processing Ecosystem

From analytical SQL queries to vector search, organizations are adopting NVIDIA's accelerated computing platform into their existing data platforms to accelerate AI-ready pipelines.

AWS
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Google Cloud Logo
HPE Logo
IBM Logo
Oracle logo
Redpanda Logo
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Data Processing on NVIDIA Vera

For enterprises running agentic AI workloads at scale, AI agents dramatically increase concurrent, continuous small-scale querying of structured enterprise data. NVIDIA Vera has 1.2 TB/s of memory bandwidth and high-speed on-chip fabric that offers the per-core performance, high throughput, and predictability under load that supports the increased volume and velocity of queries. For the Starburst analytics engine, NVIDIA Vera processed queries 3x faster compared to x86, reducing query execution from minutes to seconds, while the Redpanda streaming engine saw a 6x improvement in p99 versus x86, enhancing the reliability of the data engine.

Coming soon.

CPU for the Age of AI
NVIDIA Vera CPU Superchip for accelerated data processing workloads.

Resources

The Latest in Data Processing

  1. Blogs
  2. Sessions
  3. Videos
  4. Hardware Datasheets
Abstract visualization of NVIDIA cuDF and cuVS accelerating enterprise data processing.

NVIDIA cuDF and cuVS Adopted by World's Leading Data Platforms

NVIDIA's accelerated computing platform is fueling modern enterprise data processing. Integrated with the world's most widely used open source data engines—downloaded over 200 million times monthly by developers—these libraries are harnessed across enterprise data platforms, databases, and data lakes.

Learn More
Snap visual for accelerated A/B testing with NVIDIA cuDF.

How Snap Scaled A/B Testing With NVIDIA cuDF

Snap processes 10+ petabytes daily for A/B testing across 940M+ users. Accelerating Apache Spark with NVIDIA cuDF on Google Cloud delivered 4x faster runtimes and 76% cost savings.

Learn More
Visualization of large-scale analytics accelerated with Velox and NVIDIA cuDF.

Accelerating Large-Scale Analytics With Velox and NVIDIA cuDF

IBM and NVIDIA integrate cuDF with the Velox execution engine, enabling GPU-native query execution for Presto and Apache Spark—delivering up to 12x faster analytics than CPU-only systems.

Learn More
Jensen Huang presenting data processing for agentic AI during the GTC keynote.

Accelerating Data Processing for AI Agents

Watch Jensen Huang describe how the NVIDIA Vera CPU delivers higher performance and efficiency to run 3x faster SQL analytics with Starburst and increase the reliability of real-time data streaming with Redpanda by up to 6x.

Watch Keynote
IBM watsonx.data demo showing NVIDIA cuDF acceleration for enterprise analytics.

IBM Reinvents Data Processing

IBM watsonx.data SQL analytics engine Presto is accelerated by cuDF for 5x speedup and 83% cost savings.

Watch Demo
Polars GPU Engine demo processing 100 million rows of data in under two seconds.

Processing 100 Million Rows of Data in Under 2 Seconds With Polars

Polars GPU Engine executes polars code on GPUs for massive speedups.

Watch Demo
NVIDIA Vera CPU rack system for accelerated data processing and AI agent workloads.

Data Processing on NVIDIA Vera

With NVIDIA-designed Olympus cores, 1.2 TB/s of memory bandwidth, and a high-speed on-chip fabric, NVIDIA Vera gives agentic AI the per-core performance, data throughput, and predictable performance under load required for data processing workloads, with up to 3x faster SQL analytics and 6x lower p99 latency in real-time data streaming workloads.

Coming soon.

Learn More
Data center render representing NVIDIA RTX PRO 4500 Blackwell Server Edition for accelerated data processing.

Petabyte-Scale Data Processing on NVIDIA RTX PRO 4500 Blackwell Server Edition

NVIDIA RTX PRO™ 4500 Blackwell Server Edition accelerates enterprise-scale data processing with NVIDIA cuDF, delivering up to 8x faster Apache Spark queries than CPU-only systems for AI and agentic applications.

This enables universal acceleration from the data center to the edge.

Learn More

Next Steps

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cuDF

Open source toolkit for structured data using GPU parallelism and memory bandwidth to accelerate data processing and analytics workflows.

Get Started With cuDF

cuVS

Open source library for unstructured vector search and data clustering that enables faster vector searches and index builds.

Get Started With cuVS

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AWS

With NVIDIA cuDF, AWS delivers 3x faster Apache Spark performance on Amazon EMR using Amazon EC2 G7e instances on NVIDIA RTX PRO™ 4500 BSE GPUs, and AWS OpenSearch can now build billion-scale vector databases in under an hour with cuVS acceleration.

Read the Blog

Dell AI Data Platform

Dell AI Data Platform with NVIDIA unifies Dell high-performance storage and computing infrastructure with NVIDIA accelerated computing, software, and libraries to power data processing for enterprise-scale agentic AI workflows with up to 12x speedup for vector indexing and 3X for data processing with cuDF and cuVS.

Read the Blog

Google Cloud

Google Cloud and NVIDIA deliver GPU-accelerated analytics on G4 VMs, with Snap achieving 76% daily cost savings using Apache Spark accelerated by cuDF on GKE.

Read the Blog

HPE

With NVIDIA Vera in HPE ProLiant Compute DL394 Gen12, HPE servers can run data processing workloads with the performance and consistency required for agentic AI workloads.

Read the Press Release

IBM watsonx.data

IBM watsonx.data accelerated Presto with NVIDIA cuDF on A100s to execute Nestle’s queries on terabytes of global operations data 5x faster with 83% cost savings.

Read the Press Release

Oracle

Oracle AI Database integrates NVIDIA cuVS and NVIDIA GPUs to accelerate vector index generation by up to 10x, helping enterprises build and refresh indexes faster for semantic search, RAG, and agentic AI applications grounded in governed enterprise data.

Read the Blog

Redpanda

Redpanda’s real-time data streaming engine alternative to Apache Kafka delivers 6x lower p99 latencies on NVIDIA Vera, delivering the consistent performance enterprises need for their agentic AI workloads.

Read the Blog

Starburst

On NVIDIA Vera, Starburst’s Trino-powered platform runs up to 3x faster compared to x86 on 1 terabyte of data, supporting AI agents gathering the ground truth of the enterprise.

Read the Press Release
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