Model selection
Choose the right model for quality, speed and cost.
Integrate language and multimodal models through managed inference solutions designed around throughput, cost visibility, and deployment needs.
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Integrate language and multimodal models through managed APIs, with the usage visibility you need to control cost.
We handle model selection, API integration, deployment and observability across the full endpoint lifecycle, and report usage so you always know what you are spending.
Pricing options: usage-based tokens, committed monthly volumes, and enterprise quotations.
Request Inference PricingEverything around the model, from integration to reporting.
Choose the right model for quality, speed and cost.
Connect inference to your applications and workflows.
Model deployment, updates and retirement handled for you.
Clear visibility of tokens, requests and spend.
Control usage and route requests across models.
Monitor performance, errors and latency in production.
Test against your workload before you commit.
Which models you need and your expected volumes.
Run a test against your workload.
Pricing based on your volumes and options.
Use it in a limited rollout.
Move to full production with agreed support.
Managed access to models, with cost visibility built in.
We focus on integration and cost control, not just model access.
We connect inference to the systems your users already work in.
Real tests on your workload before any commitment.
Reporting that shows what you use and what you spend.
Usage-based, committed volume or enterprise quotation.
On-demand and dedicated GPU computing solutions for AI workloads.
Learn moreDedicated AI model serving environments with greater deployment control.
Learn moreWe build classic machine learning and deep learning models that forecast demand, flag fraud, read documents and see defects, then put them to work inside the systems your teams already use.
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