Introducing the First Preview Build of the OpenInfer Engine
Partnerships Team
Introducing the First Preview Build of the OpenInfer Engine
Partnerships Team
We’re excited to announce the first preview build of our OpenInfer Engine—a powerful AI runtime designed to make on-device inference simple, seamless, and developer-friendly. This early release focuses on ease of integration with your existing AI workflows, specifically supporting LangChain, Ollama, and vLLM.
In tandem with this preview, we’ve prepared a brief demo video that walks you through our automated onboarding flow, showing just how easy it is to get up and running.
- Developer-Centric: This preview build is all about helping you integrate the OpenInfer Engine into your existing stack with minimal fuss.
- LangChain, Ollama & vLLM Compatibility: We’ve built native hooks and libraries that make it easy to drop OpenInfer into your current AI pipelines.
- Automated Onboarding Flow: Once you start the engine, you’re guided through activation and model setup—no complicated steps required.
For a detailed look at this flow, watch our demo video—it’s a great resource for visual learners and a quick way to see how we’ve streamlined the process.
Why This Matters
At OpenInfer, we believe AI should be fast, private, and widely accessible—on any device. By focusing on on-device runtime optimizations, we’ve built a solution that can integrate with cloud services but also run smoothly on everything from servers to personal devices. This means:
- Enhanced Privacy: No need to constantly send data to the cloud for inference.
- Faster Response Times: Low-latency interactions, ideal for real-time applications.
- Lower Costs: Reduced dependence on expensive cloud resources.
With this preview build, we’re also showing that our optimizations on-device benefit the cloud, ensuring cost savings and performance gains for large-scale deployments.
Inviting Development Partners
We’re currently offering early access to development partners who want to:
- Integrate on-device AI into their applications with minimal overhead.
- Experiment with cutting-edge runtime optimizations that also benefit cloud deployments.
- Collaborate with us on fine-tuning and shaping new features in upcoming releases.
If you’re building apps with LangChain, Ollama, or vLLM (or all three!), we’d love to work with you to refine your integration and gather real-world feedback.
Interested in joining our early access program?
- Reach out via our contact page or shoot us an email at [email protected].
- Let us know about your current project, tech stack, and AI use cases.
What’s Coming Next?
Over the next few weeks, we’ll be rolling out performance benchmarks, additional framework support, and deeper tools for customization. Your input is invaluable—we’re keen to hear how you use the OpenInfer Engine so we can continue improving it before the full release.
We can’t wait to see what you build with the first preview of OpenInfer Engine. Thank you for joining us on this journey to make on-device AI more powerful, private, and efficient than ever before.
Get Started Today
- Watch the Demo: See the automated onboarding flow in action.
- Sign Up: Request your activation key and be among the first to integrate OpenInfer into your AI pipelines.
- Provide Feedback: Tell us what you love, what needs improvement, and what you’d like to see in future updates.
We’re thrilled to have you on board. Let’s shape the future of AI together.
We’re excited to announce the first preview build of our OpenInfer Engine—a powerful AI runtime designed to make on-device inference simple, seamless, and developer-friendly. This early release focuses on ease of integration with your existing AI workflows, specifically supporting LangChain, Ollama, and vLLM.
In tandem with this preview, we’ve prepared a brief demo video that walks you through our automated onboarding flow, showing just how easy it is to get up and running.
- Developer-Centric: This preview build is all about helping you integrate the OpenInfer Engine into your existing stack with minimal fuss.
- LangChain, Ollama & vLLM Compatibility: We’ve built native hooks and libraries that make it easy to drop OpenInfer into your current AI pipelines.
- Automated Onboarding Flow: Once you start the engine, you’re guided through activation and model setup—no complicated steps required.
For a detailed look at this flow, watch our demo video—it’s a great resource for visual learners and a quick way to see how we’ve streamlined the process.
Why This Matters
At OpenInfer, we believe AI should be fast, private, and widely accessible—on any device. By focusing on on-device runtime optimizations, we’ve built a solution that can integrate with cloud services but also run smoothly on everything from servers to personal devices. This means:
- Enhanced Privacy: No need to constantly send data to the cloud for inference.
- Faster Response Times: Low-latency interactions, ideal for real-time applications.
- Lower Costs: Reduced dependence on expensive cloud resources.
With this preview build, we’re also showing that our optimizations on-device benefit the cloud, ensuring cost savings and performance gains for large-scale deployments.
Inviting Development Partners
We’re currently offering early access to development partners who want to:
- Integrate on-device AI into their applications with minimal overhead.
- Experiment with cutting-edge runtime optimizations that also benefit cloud deployments.
- Collaborate with us on fine-tuning and shaping new features in upcoming releases.
If you’re building apps with LangChain, Ollama, or vLLM (or all three!), we’d love to work with you to refine your integration and gather real-world feedback.
Interested in joining our early access program?
- Reach out via our contact page or shoot us an email at [email protected].
- Let us know about your current project, tech stack, and AI use cases.
What’s Coming Next?
Over the next few weeks, we’ll be rolling out performance benchmarks, additional framework support, and deeper tools for customization. Your input is invaluable—we’re keen to hear how you use the OpenInfer Engine so we can continue improving it before the full release.
We can’t wait to see what you build with the first preview of OpenInfer Engine. Thank you for joining us on this journey to make on-device AI more powerful, private, and efficient than ever before.
Get Started Today
- Watch the Demo: See the automated onboarding flow in action.
- Sign Up: Request your activation key and be among the first to integrate OpenInfer into your AI pipelines.
- Provide Feedback: Tell us what you love, what needs improvement, and what you’d like to see in future updates.
We’re thrilled to have you on board. Let’s shape the future of AI together.
Ready to Get Started?
OpenInfer is now available! Sign up today to gain access and experience these performance gains for yourself. Together, let’s redefine what’s possible with AI inference.