Unified GPU + CPU + QPU dispatch
Run the same tensor model across heterogeneous compute. The platform decides where each workload lives.
Heterogeneous Computing
QuStruct AI Platform.
A unified infrastructure for running AI workloads across GPU, CPU, and QPU. Manage tensor model deployment, monitor compression benchmarks, and seamlessly transition from classical to quantum-native compute — all from one control plane.
Coming Soon
Compression benchmark monitoring
Track parameter ratio, accuracy delta, and inference latency across compression strategies in production.
Tensor model deployment
Push compressed models from training into staging and production with one workflow.
Classical → quantum migration
Promote workloads from GPU to QPU without rewriting the model — TensorDual-VQC handles the bridge.