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One gateway. Every framework. Up to 5x better throughput out of the box.

Inference Gateway

Deploys trained models as production-grade REST/gRPC APIs with automatic load balancing, request batching, and hardware-aware optimization for maximum throughput. Provides a single consistent serving interface regardless of framework (TensorFlow, PyTorch, ONNX), eliminating per-model deployment complexity.

Why It Matters

InferenceGateway solves the last-mile problem that stalls most enterprise ML — trained models that never reach production reliably.
One consistent serving layer turns any model, from any framework, into a production-grade API with the throughput, batching, and load balancing that homegrown Flask wrappers can’t deliver.
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Up to 5x throughput on the same hardware

Request batching and graph optimization extract dramatically more inference from existing GPUs — serving costs drop without touching the models.

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One interface, every framework

TensorFlow, PyTorch, and ONNX models deploy through the same gateway — eliminating the per-model deployment snowflakes that multiply operational burden.

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Production-grade by default

Load balancing, batching, and hardware-aware optimization come built in — replacing the naive API wrappers that buckle under real traffic in mission-critical applications.

The Cloudly Advantage

InferenceGateway completes Cloudly’s platform story at the point where ML finally earns money — production serving.
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Closes the platform loop

Train, tune, track, deploy — with serving covered, Cloudly pitches the complete ML lifecycle, leaving no gap for competitors to wedge into.

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Production operations goldmine

Live inference infrastructure needs 24/7 monitoring, scaling, and incident response — the strongest driver of our AWS Monitoring and AIOps managed services.

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Throughput pitch pays for itself

"5x throughput means one-fifth the serving hardware" is a cost story BD can validate in a benchmark POC against the client's current deployment.

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Istio and Kubernetes services depth

Service mesh and Triton/TorchServe operations are advanced Cluster Services engagements commanding premium consultancy rates.

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SageMaker Endpoints AWS pull-through

Native endpoint integration opens AWS Migration and optimization conversations in every cloud-committed account.

The Final Takeaway

Mission-critical stickiness — Once production traffic flows through the gateway, it becomes infrastructure the client cannot unplug — anchoring long-term contracts and platform renewals.

Powered By

Triton Inference Server

Core to the InferenceGateway technology stack.

TorchServe

Core to the InferenceGateway technology stack.

BentoML

Core to the InferenceGateway technology stack.

AWS SageMaker Endpoints

Core to the InferenceGateway technology stack.

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