Scody Cloud
AI Inference

Serve models without operating a serving cluster.

Managed endpoints on GPU pods with autoscaling, per-request metering and logs.

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The problem

What gets in the way

  • Idle GPUs cost money between requests
  • Traffic is spiky
  • We have no MLOps team
The approach

How ScodyX handles it

Endpoint, not a cluster

Deploy a model, get a URL; scaling and health are the platform's job.

Per-request visibility

Latency, throughput and cost attributed per request.

Recommended

Products for this path

AI Inference

Coming soon

Model endpoints with autoscaling and request metering.

Coming soon

GPU Cloud

Coming soon

GPU pods that scale to zero and bill by the second.

Coming soon

Object Storage

Coming soon

S3-compatible buckets on replicated cluster storage.

Coming soon

Getting started

Your path

  1. 01

    Containerise your model server

  2. 02

    Deploy to a GPU pod

  3. 03

    Point traffic at the managed endpoint

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