Integrations

100+ connectors. One platform. Zero glue code.

Every cloud service, model registry, vector database, and GPU provider your AI workload needs, connected, governed, and ready to use out of the box.

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Dashboard/Access Control/Integrations

Team Integrations

Configure repositories, storage, AI services, and more for this team.

Available Providers102Total available

Connected26Active connections

Healthy26Status: healthy

Errors0Total errors

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Object StorageContainer RegistriesStreaming & MessagingDatabasesML & Machine LearningObservabilityKnowledge BasesHosted Inference

Connected

AWS S3

Model Artifacts

Object Storage

Connected

Google Cloud Storage

Cloud object storage

Object Storage

Connected

Local Store

Local compatible object storage

Object Storage

Connected

Docker Hub

Docker container registry

Container Registry

Connected

Artifactory

Universal artifact repository

Artifact Registry

Connected

HuggingFace Hub

Models, datasets, and spaces

Model Registry

Connected

Google Vertex AI

ML model management

ML Platform

Not configured

SageMaker

AWS ML model training & deploy

ML Platform

Not configured

Apache Kafka

Distributed event streaming

Streaming

Not configured

Redis

In-memory data store

Cache

Not configured

Why 100+ native integrations matter

Most teams duct-tape a dozen tools together just to train, deploy, and monitor a single model. That fragile stack breaks when you need it most. Inwire replaces it with one governed platform.

Zero duct tape

Stop gluing together two dozen SaaS tools with brittle scripts. Every integration is native, tested, and production-ready from day one.

Vault-backed credentials

Every secret is stored in HashiCorp Vault with automatic rotation. No credentials in browser storage, environment variables, or config files.

Unified control plane

Train, fine-tune, deploy, govern, and monitor from one dashboard. One login, one audit trail, one bill. From solo developer to enterprise team.

Multi-cloud, no lock-in

AWS, GCP, Azure, AliCloud, Nebius, or on-premise. Bring your own infrastructure or use inwire-managed environments. Switch providers without re-architecting.

Every tool your AI stack needs

From object storage to GPU clusters, from model registries to observability stacks. All pre-built, all governed, all auditable.

Object Storage

AWS S3Google Cloud StorageAzure BlobMinIOCephDigitalOcean SpacesBackblaze B2Wasabi

Container Registries

Docker HubGitHub Container RegistryAmazon ECRGoogle Artifact RegistryAzure Container RegistryJFrog ArtifactoryGitLab RegistryQuay.ioHarbor

ML Platforms & Model Registries

HuggingFace HubGoogle Vertex AIAWS SageMakerAzure MLMLflowWeights & BiasesNeptune.aiDVCComet MLClearMLDatabricks MLflowBentoML

Hosted Inference

OpenAIAnthropicGoogle GeminiMistral AIFireworks AITogether AIAnyscaleReplicateHuggingFace Inference EndpointsAWS BedrockAzure OpenAIGroqDeepSeekNebius AI

Databases & Data Stores

PostgreSQLMySQLMongoDBRedisElasticsearchPineconeWeaviateQdrantMilvusChromaDBAmazon RedshiftGoogle BigQuerySnowflakeClickHouseApache CassandraNeo4j

Streaming & Messaging

Apache KafkaAmazon KinesisGoogle Cloud Pub/SubAzure Event HubsRabbitMQNATSApache PulsarRedis Streams

Observability & Monitoring

PrometheusGrafanaDatadogNew RelicJaegerOpenTelemetryPagerDutyOpsgenieSentryElastic APM

Knowledge & Collaboration

Atlassian ConfluenceMicrosoft SharePointNotionGitHubGitLabBitbucketSlack

Infrastructure & Compute

KubernetesDockerTerraformAWS ECSGoogle GKEAzure AKSHelmArgoCDFluxRancherNomad

GPU & Accelerators

NVIDIA CUDANVIDIA TritonAMD ROCmIntel GaudiLambda LabsCoreWeaveRunPod

And many more. New integrations are added every week.

Stop duct-taping. Start shipping.

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