Podcast Episode
The partnership covers four major areas: GPU-native data analytics, intelligent document processing, cloud infrastructure, and consulting services. At its centre is a new integration between IBM's watsonx.data SQL engine, Presto, and NVIDIA's cuDF library, which uses graphics processors to dramatically accelerate database queries on massive datasets.
Previously, refreshing this data on traditional processors took fifteen minutes and could only run a handful of times per day. With GPU acceleration, that refresh dropped to just three minutes, delivering what the companies described as eighty-three percent cost savings and a thirty times price-performance improvement.
NVIDIA has also selected IBM Storage Scale System 6000 to provide ten petabytes of high-performance storage for its GPU-native analytics engines, validated on NVIDIA DGX platforms.
IBM Consulting will bring these capabilities to clients through IBM Consulting Advantage, its enterprise AI platform designed to simplify how companies prepare data, build models, and deploy AI across their technology environments.
IBM and NVIDIA Team Up to Bring Enterprise AI From Pilot to Production at Scale
March 17, 2026
0:00
3:26
IBM and NVIDIA have announced a major expansion of their AI partnership at GTC 2026, spanning GPU-accelerated data analytics, cloud infrastructure, and intelligent document processing. A proof-of-concept with Nestle demonstrated an eighty-three percent cost reduction and thirty times performance improvement on global supply chain data.
IBM and NVIDIA Deepen Enterprise AI Alliance at GTC 2026
IBM and NVIDIA have unveiled a significantly expanded collaboration at NVIDIA's GTC 2026 conference in San Jose, targeting one of the biggest challenges facing businesses today: moving AI projects from small-scale experiments into full production deployment.The partnership covers four major areas: GPU-native data analytics, intelligent document processing, cloud infrastructure, and consulting services. At its centre is a new integration between IBM's watsonx.data SQL engine, Presto, and NVIDIA's cuDF library, which uses graphics processors to dramatically accelerate database queries on massive datasets.
Real-World Results at Nestle
The companies validated their approach with a proof-of-concept at Nestle, one of the world's largest food and beverage companies. Nestle's Order-to-Cash data mart tracks every order, fulfilment, delivery, and invoice across one hundred and eighty-six countries, processing terabytes of data across forty-four tables.Previously, refreshing this data on traditional processors took fifteen minutes and could only run a handful of times per day. With GPU acceleration, that refresh dropped to just three minutes, delivering what the companies described as eighty-three percent cost savings and a thirty times price-performance improvement.
Cloud and Infrastructure Expansion
IBM plans to offer NVIDIA Blackwell Ultra GPUs on IBM Cloud beginning in early Q2 2026, targeting large-scale AI training, high-throughput inferencing, and reasoning workloads. The technology will also be integrated across Red Hat AI Factory with NVIDIA, featuring enterprise-grade compliance and data residency controls.NVIDIA has also selected IBM Storage Scale System 6000 to provide ten petabytes of high-performance storage for its GPU-native analytics engines, validated on NVIDIA DGX platforms.
Intelligent Document Processing
The two companies are collaborating on converting unstructured documents into AI-ready formats using IBM's open-source Docling tool paired with NVIDIA Nemotron models, designed to operate at enterprise scale.IBM Consulting will bring these capabilities to clients through IBM Consulting Advantage, its enterprise AI platform designed to simplify how companies prepare data, build models, and deploy AI across their technology environments.
Published March 17, 2026 at 5:17am
