NVIDIA expands enterprise agent toolkit with new data and governance tools

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NVIDIA expands agent toolkit

Highlights

NVIDIA launched the Agent Knowledge Foundation, integrating CUDA-X libraries and Auto-Ontology to enable data-driven agent workflows without moving or reformatting data.
Enterprises including Palantir, Databricks, and Snowflake are deploying NVIDIA's expanded toolkit to generate intelligence, add context-aware predictions, and improve decision-making from proprietary data.
Nemotron Retriever models demonstrated substantial performance gains, with SAP's reranker running three times faster and ServiceNow cutting latency by nearly 25 percent, driving industry adoption across major platforms.

New platform components for enterprise deployment

NVIDIA Newsroom said the expanded toolkit is designed to give enterprises an open agent stack that combines models, runtime, data and tools for agents intended to perform practical work from development through deployment.

The new NVIDIA Agent Knowledge Foundation includes NVIDIA CUDA-X libraries such as cuDF, cuGraph, cuML, cuOpt and cuVS, alongside a new Auto-Ontology library that converts raw company data into business concepts like customers, products and orders, and maps the relationships between them.

NVIDIA said the foundation lets companies turn internal data into intelligence that agents can use to find relevant information, interpret business context, make predictions and support decision-making, without moving data, rebuilding workflows or changing governance controls.

The expanded toolkit also includes NVIDIA Nemotron Retriever and the Kumo family of open models, including Kumo Tabular, Kumo Relational, Kumo Time Series and Kumo Forecast. OpenShell serves as the secure runtime boundary for controlling what agents can access and do, while NemoClaw blueprints provide reference designs for specialized agents, including a new blueprint focused on agent optimization over time.

Partner uptake signals wider industry use

Early enterprise use cases span data, cloud and software platforms. With Palantir, NVIDIA's supply chain organization is using Agent Knowledge Foundation through Foundry, Ontology and AIP to deploy specialized agents, generate intelligence from proprietary data, predict outcomes and improve decision-making.

Databricks is pairing NVIDIA Kumo Anomaly with Databricks Genie Ontology for context-aware agents, while Snowflake is enabling customers to use the NVIDIA Kumo Engine and Kumo Relational models in Snowflake Notebook environments to add predictive capabilities.

NVIDIA also highlighted performance gains tied to its Nemotron Retriever models. Amazon OpenSearch Service improved relevance with fewer search steps and virtually no added latency using the embedding model, SAP's fine-tuned reranker ran nearly three times faster, and ServiceNow improved reranking quality while cutting latency by nearly a quarter. Zoom is using the models to improve document understanding, search relevance and context retrieval for Zoom AI Services.

AWS, ClickHouse, Cloudera, Cohesity, Dassault Systèmes, Dell, Elastic, Exa, IBM, NetApp, Oracle, Perplexity, Starburst and VAST Data are also among companies building on Agent Knowledge Foundation, underscoring growing demand for enterprise tools that tie artificial intelligence agents more directly to proprietary business data.

Our earlier article on a KPMG U.S. CEO survey examined how large companies are seeing early efficiency and growth gains from AI agents, but only a small share currently view them as truly transformational. It also highlighted that organizations expect continued hiring, retraining, and sustained AI infrastructure investment as they work through the harder tasks of process redesign and data readiness needed for wider deployment.

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