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Open vision-language models parsing PDFs, forms, and tables to JSON. Per-page billed becomes per-million-tokens.
The optimization knobs, the codebase, the model choice. None of it locked away.
Closed document AI charges per page. RunInfra bills compute on your GPU. Long documents become cheap.
Contracts, invoices, and forms stay on your runtime. No third-party retention windows.
Bring your schemas and ground-truth labels. The model fine-tunes on your specific layouts.
Most teams pick between speed and control. RunInfra keeps both in one workflow.
| What matters | RunInfraRecommendedFast path with model control and export. | Closed extraction APIsPer-page, hosted. | DIY self-hostingFull control, heavy operations. |
|---|---|---|---|
| 01Launch | Pick model, optimize, deploy Start quickly and keep the production path open. | Call provider endpoint Fast first demo, but the runtime stays rented. | Build serving stack first Infrastructure work comes before product learning. |
| 02Model control | Bring the model ID Keep model choice and serving decisions visible. | Provider catalog You use what the provider exposes. | Your model Full control if your team maintains the runtime. |
| 03Tuning | Measured latency and GPU cost Compare serving choices before deployment. | Opaque Latency and batching stay behind the API. | Manual profiling Your team owns tuning and regressions. |
| 04Export | Managed now, export when needed Use the endpoint first and take the deploy package later. | Locked endpoint You keep calling the provider. | Already owned Export exists because you built everything yourself. |
| 05Operations | Low until you choose to own it Operate managed, then export with the same measured plan. | Low, with lock-in Less infra work, less production control. | High You own infra, failures, upgrades, and serving changes. |
| 06Security | SOC 2 Type 2 Audited controls across access, logging, and incident response. | Varies by vendor Compliance depends on the third party sitting in the request path. | You build it Your team owns the audit trail, logging, and access controls. |
Fast path with model control and export.
Launch
Pick model, optimize, deploy
Start quickly and keep the production path open.
Model control
Bring the model ID
Keep model choice and serving decisions visible.
Tuning
Measured latency and GPU cost
Compare serving choices before deployment.
Export
Managed now, export when needed
Use the endpoint first and take the deploy package later.
Operations
Low until you choose to own it
Operate managed, then export with the same measured plan.
Security
SOC 2 Type 2
Audited controls across access, logging, and incident response.
The full recipe ships with you. Codebase, kernels, engine config, weights. Run it anywhere.
Our GPUs, per-million-tokens billing from L4 to B200.
AWS, GCP, RunPod, bare metal. Same Dockerfile, your cluster.
docker compose up. Full pipeline on a single GPU.
Supported vision-language models on Hugging Face run through the compatible recipe. Search the live catalog above. The examples below are just a starting view.
Every stage of the pipeline, retuned per model and GPU.
Tiled patch embeddings fused with the LLM step. Page-shape preserved.
Send your JSON schema with response_format, then validate the returned JSON in your application.
AWQ INT4 on the LLM head, FP16 preserved on the vision encoder.
Variable-page batches with PagedAttention. No padding waste on long contracts.
KV cache shared across pages so the model sees the full document.
Render and extract interleaved per page, with client-side validation and backpressure on overload.
Edit the model, engine, or GPU inline. Send to retune the stack in the dashboard.
Can't find what you're looking for? Get in touch
What document types are supported?
PDFs, scans, photos, and screenshots. Multi-page documents are processed page by page with consistent output.
Describe the goal. RunInfra builds and optimizes the stack.
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