Microsoft Foundry Adds Fireworks AI for Open-Model Inference on Azure

Microsoft said on March 11, 2026 that Fireworks AI is now available in Microsoft Foundry, adding high-performance, low-latency open-model inference to Azure. The X post emphasized day-zero access to leading open models, bring-your-own custom models, and enterprise controls in one place.

The linked Azure Blog post frames the launch as a way to give teams low-latency, high-throughput inference for open models while also supporting performance-optimized deployment of custom models. That matters because many enterprise AI teams want open-model flexibility without building their own full inference stack, routing layer, and governance system from scratch.

Microsoft Foundry has been positioning itself as a central surface for model selection, evaluation, deployment, and governance. Adding Fireworks AI strengthens that strategy by bringing another specialized inference provider into the Foundry umbrella instead of forcing customers to manage a separate procurement and operations path.

Why it matters

Enterprises can mix managed platform controls with faster access to open-model ecosystems.

Developers get a more direct path from experimentation to production on Azure.

This suggests Microsoft wants Foundry to act as a broader control plane for multi-provider AI infrastructure, not just a catalog.

The practical question now is whether customers see enough latency, throughput, and model coverage gains to move real workloads. If that happens, Fireworks AI on Foundry could become a meaningful lever for Azure in open-model production traffic, especially for teams that want vendor choice without losing enterprise governance.

Primary sources: Azure on X and Azure Blog.