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CAIP Offboard v2: All-New CAIP

CAIP2 is the next stage of the Connected AI Platform: a set of completely self-contained, managed, API-driven, and modular service offerings. Everything is self-service with rapid provisioning and no per-use-case platform overhead.

Where this fits in the CAIP evolution

Unlike Managed Kubeflow (the same Kubeflow product delivered under a managed ops model), CAIP2 introduces brand-new service offerings. It is currently being built up — some offerings are already live, others are in active development. The service portfolio below is the complete picture.

Service Portfolio

CAIP2 groups its offerings into a handful of categories — from data access and developer tooling through Classic ML, Generative AI, and the underlying infrastructure. The map below shows the portfolio at a glance:

Connected AI Platform 2.0 service portfolio

The sections below break this map down category by category. Each service offering links to its documentation where it exists. For offerings exposed as APIs, the EMEA / CN / US columns show per-region availability and, where live, the endpoint. Some offerings are consumed within the platform and don't expose a dedicated endpoint — these are shown as bullet lists or marked .

Status: 🟢 Live · 🔵 Planned · 🔴 Not planned yet

Data

Data offerings provide managed access to data sources; they are consumed from within your workloads rather than through a dedicated endpoint.

Core Tools

Core Tools are the shared building blocks every use case relies on — the developer experience for building and shipping, and the infrastructure it runs on. The service map below shows how they fit together:

Connected AI Platform 2.0 core-tools service map

DevEx

Notebooks

The dedicated CAIP2 Notebooks offering is being recreated and will be available soon. Until then, use Notebooks as part of Managed Kubeflow.

Service OfferingEMEACNUS
Notebooks🔵 Planned🔵 Planned🔴 Not planned yet
SDK
Client library — no endpoint.
Portal🟢 caip.bmw.cloud🔵 Planned🔴 Not planned yet

Infrastructure

Service OfferingEMEACNUS
Distributed AI Compute
(Ray Jobs, Batch Execution)
🟢 workflows.api.caip.bmw.cloud🔵 Planned🔴 Not planned yet
CAIP Environments🔵 Planned🔵 Planned🔴 Not planned yet
CAIP Apps🟢 apps.api.caip.bmw.cloud🔵 Planned🔴 Not planned yet

Onboard

Deploying models to run onboard the vehicle (on CDC). This is a distinct capability, independent of the CAIP evolution stages — see the dedicated CAIP Onboard section.

Classic ML

The Classic ML service map covers the traditional ML lifecycle — a feature store, training, and offboard/onboard inference:

Connected AI Platform 2.0 Classic ML service map

Service OfferingEMEACNUS
Feature Store🔵 Planned🔵 Planned🔴 Not planned yet
Offboard Inference🔵 Planned🔵 Planned🔴 Not planned yet
Onboard Inference (see Onboard)

Classic ML + GenAI

Model Registry

The dedicated CAIP2 Model Registry is being built and will be available soon. Until then, use the model registry as part of Managed Kubeflow (MLflow).

Service OfferingEMEACNUS
Workflows🟢 workflows.api.caip.bmw.cloud🔵 Planned🔴 Not planned yet
Model Registry🔵 Planned🔵 Planned🔴 Not planned yet

GenAI

CAIP2's Generative AI offerings span two complementary areas. The Generative AI map covers model access — the LLM API, self-hosted models, and guardrails:

Connected AI Platform 2.0 Generative AI service map

The Agentic AI map covers building and operating agents — the Agent Foundry (Agents API & SDK), agent observability with Langfuse, and the MCP and Agent registries:

Connected AI Platform 2.0 Agentic AI service map

Service OfferingEMEACNUS
Self-Hosted LLMs🟢 llm.api.caip.bmw.cloud🟢 llm.api.caip.bmwchina.cloud🔴 Not planned yet
LLM API🟢 llm.api.caip.bmw.cloud🟢 llm.api.caip.bmwchina.cloud🔴 Not planned yet
Agent Foundry
(Agents API, SDK)
🟢 agents.api.caip.bmw.cloud🔵 Planned🔴 Not planned yet
Agent Observability
(Langfuse)
🟢 langfuse.caip.bmw.cloud🔵 Planned🔴 Not planned yet
MCP Registry🔵 Planned🔵 Planned🔴 Not planned yet
Agent Registry🔵 Planned🔵 Planned🔴 Not planned yet

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