Trust Center · Deployment

Data residency is determined by your regulatory obligations.

Three deployment models, selected per customer. Residency is a property of where the platform runs rather than a policy layered onto a third-party cloud.

Managed multi-cloud

Deployed into your chosen cloud and region. The platform runs on portable primitives such as Kubernetes, Kafka, Flink and Redis, so the provider is a deployment decision rather than an architectural commitment.

Sovereign on-premises

Runs entirely inside your own data centre on your hardware, for organisations whose data is not permitted to leave the building.

Air-gapped

Fully disconnected operation with no outbound network route. A locally deployed open-source model runs on customer-provided GPU hardware inside the boundary, so inference never leaves the perimeter. Platform and model updates are introduced through the customer’s own controlled transfer process.

Portable across six providers

The same architecture maps onto every major provider, including the regional clouds that some jurisdictions require. No component depends on a proprietary service available from a single vendor.

Global Providers

AWS

Kubernetes Amazon EKS
GPU compute EC2 G5 / G6 / P5
Streaming bus Amazon MSK
In-memory state ElastiCache
Stream processing Managed Flink

Azure

Kubernetes Azure AKS
GPU compute NCv4 / NDv4
Streaming bus Event Hubs
In-memory state Azure Managed Redis
Stream processing Managed Flink

Google Cloud

Kubernetes GKE Enterprise
GPU compute G2 / A3, Cloud TPU v5e
Streaming bus Managed Kafka
In-memory state Memorystore Redis Cluster
Stream processing Managed Flink

Regional Providers

Alibaba Cloud

Kubernetes Container Service ACK
GPU / NPU ECS gn7i / ebm-gpu
Streaming bus Message Queue Kafka
In-memory state ApsaraDB for Redis
Stream processing Realtime Compute Flink

Tencent Cloud

Kubernetes Tencent K8s (TKE)
GPU / NPU GPU Cloud Server
Streaming bus CKafka
In-memory state TencentDB for Redis
Stream processing Oceanus

Huawei Cloud

Kubernetes Cloud Container Engine
GPU / NPU Ascend Atlas 800 / 900
Streaming bus Distributed Message Service
In-memory state Distributed Cache Service
Stream processing Cloud Stream Service

Which model fits your obligations?

Tell us your jurisdiction and constraints, and we will tell you which deployment applies.

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