Stay competitive with Generative AI by embracing accelerated computing and making AI accessible to more people across the organization — all with NVIDIA and Dataiku.
With Dataiku, all data and domain experts work together in a single environment to create and deploy analytics and AI solutions. This allows teams to do more — try more experiments, use more sophisticated algorithms, and spend more time on responsible AI best practices — resulting in trusted, higher-quality projects and outcomes.

With Dataiku, benefit from faster access to generative AI models optimized specifically for NVIDIA GPUs like rerank-qa-mistral-4b, deepvariant, neva22b, and many more.
Beyond NVIDIA-accelerated computing, Dataiku provides built-in capability for you to self-host open source LLM models on NVIDIA GPUs. Using the Dataiku LLM Mesh, you can access NVIDIA NIM microservices to deploy LLM models (on-prem or cloud).


Safely scale with oversight by taking advantage of Dataiku’s built-in governance plans that ensure proper review and final sign-off for significant projects before deployment to production.
NVIDIA AI Enterprise is optimized and certified to ensure reliable performance and reduce the risk associated with moving from pilot to production caused by infrastructure and architectural differences between environments.

With the NVIDIA RAPIDS™ Accelerator for Apache Spark, Dataiku’s support of NVIDIA GPUs, seamless integration with NVIDIA RAPIDS-Spark, RAPIDS ML, MONAI, and more, Dataiku and NVIDIA accelerate all parts of the AI lifecycle:

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