Autonomous · Azure
Wayve
Wayve runs a proprietary end-to-end embodied driving stack on Microsoft Azure, using large vision-world models (AI Driver, GAIA-3) trained on petabyte-scale fleet and simulated data via Azure Kubernetes Service, Azure Machine Learning, Databricks, and GPU clusters, then deploys a compressed model on in-vehicle compute for production driving.[7][9][12] The architecture replaces modular perception/mapping/planning with a single neural policy and related foundation models (driving, simulation, scenario classification, language explanation), all controlled via internal MLOps pipelines on Azure.[1][4][9][12]
Foundation proximity: Native (own / self-hosted weights)
Foundational models & how they consume them
PrimaryAI Driver (end-to-end driving foundation model / 'world model')· Wayve (self-hosted on Azure + in-vehicle compute) · Native (own / self-hosted weights)
SecondaryGAIA-3 (generative driving simulation foundation model)· Wayve (self-hosted on Azure) · Native (own / self-hosted weights)
TertiaryLINGO / language-capable driving explanation components (name varies across sources, internal LM-like module)· Wayve (self-hosted on Azure) · Native (own / self-hosted weights)
Cloud & datastore
AzureAzure Storage (Blob/Object)[7]Azure Databricks (Delta Lake/Parquet over object storage)[7]Azure Machine Learning experiment/model metadata stores[9][12]Internal time-series/telemetry stores for fleet data (unspecified, likely on Azure)[9][12]Compliance
Azure built-in compliance (ISO 27001, SOC 1/2/3, GDPR support) inferred from exclusive Azure usage[7][12]Wayve safety framework for AV (Safety 2.0 paradigm, not a formal security cert but core to production governance)[8]Similar companies
CruiseWaymoOthers that build on proprietary / self-built models
Abnormal SecurityAbridgeAdobeAI21 LabsAleph AlphaAmbienceExplore
FAQ
Does Wayve use a foundational AI model?
Wayve uses AI Driver (end-to-end driving foundation model / 'world model'), GAIA-3 (generative driving simulation foundation model), LINGO / language-capable driving explanation components (name varies across sources, internal LM-like module) (Native (own / self-hosted weights)).
What cloud does Wayve run on?
Wayve runs on Azure.
What database does Wayve use?
Wayve uses Azure Storage (Blob/Object)[7], Azure Databricks (Delta Lake/Parquet over object storage)[7], Azure Machine Learning experiment/model metadata stores[9][12], Internal time-series/telemetry stores for fleet data (unspecified, likely on Azure)[9][12].
How close does Wayve run to the foundational model?
Wayve is Native (own / self-hosted weights) — close to the metal, so cheaper tokens and more control over outputs.
Sources
wayve.ai ↗Also on the map
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Architecture inferred from public sources · confidence medium · verify before betting on a detail.