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Bridge by Armada Now Integrates with Dataiku

· 3 min read
Kiran Nair
Kiran Nair
Engineering
Sandeep Sharma
Sandeep Sharma
Engineering

Bridge by Armada now integrates with Dataiku, the enterprise AI platform data teams use to prepare data, build models, and govern AI projects. Neoclouds and sovereign GPU cloud providers that use Bridge can now offer Dataiku to their tenants directly from the Bridge Marketplace, running on the provider's own GPU infrastructure.

What is Bridge?​

Bridge is GPUaaS cloud management software that neoclouds, sovereign clouds, telcos, and enterprises use to run multi-tenant GPU clouds. It handles tenant onboarding, isolation, quotas, and usage tracking, and layers cloud services on top of raw compute so providers can sell more than GPU hours. Bridge's cloud services span IaaS (bare metal, VM, storage, network), PaaS (Kubernetes, Slurm), and AIaaS (LLMaaS, fine-tuning, RAG, MLOps pipelines, Jupyter Notebooks, benchmarking, security scans, and more).

GPUs alone don't win enterprise workloads​

Enterprise data teams have already standardized on their tools. Analysts, data scientists, and engineers build in Dataiku every day, with established workflows, governance, and approvals. A provider that offers only bare GPU capacity asks those teams to rebuild their stack before they can use it. That's a hard sell, so customers typically take their workloads, and their spend, somewhere their tools already run.

What the integration delivers​

With the integration, a tenant can launch Dataiku from the Bridge Marketplace into their own GPU pool. Bridge deploys Dataiku on a Kubernetes cluster inside the tenant's isolated environment. Dataiku then runs under the same access controls, quotas, and usage tracking as every other Bridge workload.

Data teams keep working in the Dataiku interface they know, while the GPU-intensive work behind their models and pipelines runs on local, provider-operated capacity. Tenants manage everything from the same Bridge console they already use.

Dataiku project page for an Equipment Predictive Maintenance project, showing its data, ML, and agents and generative AI content alongside the project flow of datasets, recipes, models, and agents

Image: Dataiku

Why it matters​

For GPU cloud providers, Dataiku adds a recognized enterprise platform to their catalog. It moves them up the stack from per-GPU-hour pricing toward higher-value platform services. It also gives sales teams a direct answer when enterprise buyers ask, "Can we run our existing tools here?"

For enterprises and public-sector organizations, it opens a path to run governed AI workflows on sovereign or in-region infrastructure. Sensitive data stays where regulation requires it to stay, and teams don't need to retrain on new tools to get there.

For Dataiku, Bridge provides a new channel to neocloud and sovereign GPU cloud customers.

Part of a growing ecosystem​

Dataiku joins ClearML, NVIDIA Run:ai, and other partners in the Bridge ISV ecosystem, a curated catalog of AI platforms and applications that tenants can deploy on demand. Every integration follows the same principle: meet enterprise teams where they already work, on infrastructure the provider controls.

To see Dataiku running on Bridge, or to learn more about the ISV ecosystem, contact the Armada team.