CoreWeave's Partner Network Lets Teams Validate AI Stack Integrations Before Migration

Shifting an AI workload across cloud providers requires more than transferring models and datasets. Teams must ensure their serving infrastructure, monitoring systems, security frameworks, and data storage all function together seamlessly on unfamiliar hardware. For platform teams, validating these interconnections under actual production load often becomes the longest and most dangerous phase of any migration.

As technology stacks span multiple vendors and cloud environments, each new integration introduces fresh compatibility questions. Meeting a published specification provides only a baseline. It offers no assurance that a particular tool will perform correctly in a live environment, or that the operational procedures and security processes built around it will transfer successfully.

Making production validation visible

An integration must function on the actual infrastructure where it will run, handling genuine production traffic. Additionally, the tools should align with what your organization already employs or has specifically requested.

A compatible specification is a starting point. It doesn't guarantee a tool will behave as expected in production, or that the runbooks and security workflows built around it will carry over.

CoreWeave created its Partner Network to bring this validation into focus. The initiative establishes formal connections with CrowdStrike, VAST Data, Reflection, IBM, and numerous other vendors through a carefully selected ecosystem of integrations that have undergone testing in authentic production scenarios on CoreWeave Cloud.

The network spans four dimensions of the AI infrastructure stack, encompassing training, inference, data handling, security, and continuous improvement:

• Infrastructure: compute, storage, networking, servers, and interconnects, with partners including VAST Data, Dell, AMD, IBM, BackBlaze, and Pulumi.
• Data services: storing, processing, moving, and accessing AI data throughout its lifecycle, with ClickHouse, Encord, LanceDB, and Datology.
• Independent software vendors (ISVs): orchestration, observability, and model development, including Grafana, Datadog, Union, SkyPilot, IBM, Pinecone, Redis, LlamaIndex, and Clockwork. A dedicated security segment includes CrowdStrike, Zscaler, and Cranium.
• Models, agents, and inference: foundational software and services for building, training, serving, and scaling applications, with Reflection, RadixArk, Inferact, OpenRouter, and Red Hat.

These integrations collectively enable teams to run and monitor models, refine data quality, enhance system behavior, and prepare subsequent releases. Every partner adheres to a single standard: an integration that operates reliably on CoreWeave infrastructure under production workloads. Vendors join the network because customers already deploy them or have explicitly requested them.

Evidence from deployed workloads

IBM trained its Granite models on CoreWeave infrastructure, utilizing one of the earliest deployments of Nvidia GB200 NVL72 clusters. Cohere developed North, its agentic AI platform, on one of the industry's first production GB200 NVL72 clusters and demonstrated training speeds three times faster than on Nvidia Hopper.

Mistral AI conducts all model training on CoreWeave and reports achieving 2.5 times faster training on Nvidia GB200 NVL72 systems. Decart leverages Nvidia HGX B200 at production scale through its CoreWeave partnership, operating on a platform that incorporates Weights & Biases.

The underlying vendor relationships predate the network launch. CoreWeave and Weights & Biases have maintained production integrations with Encord, Pinecone, and additional partners since the initial wave of open-source large language models and frontier-model development.

Jon Jones, CoreWeave's Chief Revenue Officer, characterizes the shift as bringing visibility to existing partner work before customers begin their deployments. The network simultaneously establishes a systematic approach for pursuing expanded integrations, coordinated market strategies, and collaborative development.

Different partners highlight distinct aspects of this infrastructure. VAST Data co-founder and chief technology officer Alon Horev describes merging CoreWeave's AI cloud with the VAST AI Operating System across large-scale training, fine-tuning, production inference, and continuous agentic operations. CrowdStrike CEO and founder George Kurtz stresses security embedded into the infrastructure powering AI systems. Adam Lawrence, general manager of IBM Americas, emphasizes IBM and Red Hat technologies as mechanisms to broaden options and reduce integration complexity during AI deployment and expansion.

Preserving existing operational practices

Your organization has likely developed operational procedures around its existing monitoring tools. Grafana and Datadog integrations enable you to retain that investment. CrowdStrike, Zscaler, and Cranium deliver security integrations, extending current threat detection and incident response capabilities.

Inference integrations serve an equivalent function: maintaining model availability as teams expand onto CoreWeave, without requiring a complete rebuild of the serving infrastructure. The objective is to increase capacity while preserving the components of your stack that are already functioning.

A marketplace listing still leaves your team to validate the integration. An LLM can suggest what's popular without telling you what works on your infrastructure.

A marketplace listing still requires your team to independently verify the integration. An LLM can identify what is widely used without confirming what operates on your specific infrastructure. We select partners based on customer demand and evaluate their integrations across all four network segments.

Integrating tools that agents depend on

The integration challenge extends into agent operation itself. Most proprietary models include web search functionality, whereas most open-weight models do not. Teams selecting open-weight models for cost, control, or customization reasons have typically needed to connect a search provider independently.

CoreWeave is broadening its partner strategy to encompass these capabilities, starting with Exa, Parallel Web Systems, and You.com. The announced search layer provides access through a single integration rather than requiring separate arrangements with each provider.

Teams can activate it through a simple configuration option on a standard inference request or call it from within a CoreWeave Sandbox, without needing to set up a separate software development kit or account. The arrangement remains nonexclusive, meaning adoption does not lock teams into a single provider for future needs.

CoreWeave disclosed the search partnerships at Fully Connected, with remaining integration work scheduled for the weeks that followed. As these integrations roll out, they will adhere to the same production-validation criteria as the rest of the network.

Starting with your workload's requirements

Before adopting another cloud provider, assess the serving, data, observability, and security integrations your workload depends on. Determine which integrations have been validated under production conditions and identify what your team will still need to test independently.

Before adding another cloud, check the serving, data, observability, and security connections your workload depends on.

The CoreWeave Partner Network directory identifies validated partners. CoreWeave account teams can discuss specific integrations and workloads, and partner sessions from Fully Connected 2026 provide additional opportunities to observe integrations in operation. Organizations seeking new partnerships can investigate the partner program.