Yetter, the GenAI API service: AI Optimization, Out of the Box
Meet 'Yetter': the generative AI API service built for speed, efficiency, and scalability. Powered by our optimization inference engine, it delivers reliable image, video, and future LLM services at a fraction of the cost.
Oct 02, 2025
Delivering the Value of Optimization and Efficiency Directly to You
The generative AI boom has unlocked incredible creative and business possibilities. Yet, as companies race to integrate these powerful models, they're hitting a practical wall: the staggering operational costs, slow inference speeds, and immense resource demands required to run them at scale. This efficiency challenge is the critical barrier between a great prototype and a successful, scalable service.
At SqueezeBits, we have been tackling these issues head-on with solutions like OwLite (AI Optimization Solution) and Fits on Chips (LLM Serving Optimization Solution), specializing in AI model quantization and optimization. Our focus has always been on helping our partners unlock the full potential of their AI models while operating within the real-world constraints of hardware and budget limitations.
Now, we are taking a bold new step. Leveraging our accumulated expertise in optimization and deep understanding of hardware, SqueezeBits is moving beyond providing tools to offering a direct service. The result of this new endeavor is Yetter.ai, a generative AI API serving platform with our proprietary optimization technology built into its core. This is more than a strategic pivot; it is a move to expand the ecosystem, enabling more partners to harness the value of generative AI with maximum efficiency.
Introducing Yetter.ai
Yetter.ai provides access to powerful generative AI models through two core components: the Yetter API and the Yetter Inference Engine.
Our primary product is the API Service, an Inference as a Service (IaaS) platform designed for production environments. It handles large-scale requests, ensuring stable and seamless integration of AI features into commercial applications. To let users experience the power of our API firsthand, we also offer a web-based Playground, an intuitive environment perfect for rapid prototyping and testing.
All of these services are powered by our proprietary Yetter Inference Engine, the core technology that makes our models run faster and more efficiently. We currently support JavaScript and Python, with support for the popular media generation tool ComfyUI coming soon.
The Yetter.ai Advantage
Yetter.ai provides a range of state-of-the-art generative AI models with several key strengths:
- Top-Tier Image Models at a Reasonable Cost: Our flagship offerings include the high-performance Qwen-Image model and the Qwen-Image-Edit model, which specializes in image editing. These models excel not only in the quality of the images they generate but also in their remarkable ability to understand prompts and render text accurately.
- Unmatched Speed and Cost-Effectiveness: Powered by SqueezeBits' industry-leading optimization technology, Yetter.ai's models deliver incredibly fast inference speeds. Since the cost of GPU-based services is ultimately a function of time, we dramatically reduce the time each request occupies a GPU. This allows us to achieve a superior balance of speed, cost, and quality compared to market-leading competitors.
- A Roadmap for the Future: We already support state-of-the-art video generation models, and we plan to expand our services to include Large Language Models (LLMs) in the future.
But that’s not all. The true differentiator for SqueezeBits lies in our deep understanding of hardware. Our expertise across both software and hardware gives us a powerful and comprehensive technological edge.
The Core Technology: Yetter Inference Engine
The powerful performance of Yetter.ai is driven by the Yetter Inference Engine, the engine that runs our generative AI models. This engine is the culmination of years of SqueezeBits' dedicated research and deep expertise in both software and hardware.
1. Software-Side Mastery: Maximizing Model Potential
SqueezeBits doesn't just host open-source models. We conduct a thorough analysis of each model's architecture to find the optimal way to maximize speed while minimizing any performance degradation. By experimenting with and applying various optimization techniques, we preserve the core performance of the models while achieving up to a 6.8x speedup in inference on GPUs compared to the baseline.
2. Hardware-Side Expertise: Beyond GPUs to NPUs
While most major international players in the market provide AI inference services via GPUs, SqueezeBits doesn't stop there. We have proven, real-world experience and unparalleled technical skill in running large-scale AI models on datacenter-grade NPUs (Neural Processing Units) like the Intel Gaudi.
- Hardware-Aware Optimization: We possess a complete understanding of the unique characteristics of each hardware platform, allowing us to implement optimizations that unlock its full potential. This approach is rooted in our past success with LLM serving optimization, where a deep, hardware-level approach was key to maximizing performance.
- You can read more about our experience deploying vLLM on Gaudi and running the popular image generation model FLUX through the links below:
- https://blog.squeezebits.com/intel-gaudi-1-introduction-35414
- https://blog.squeezebits.com/intel-gaudi-5-flux1-on-gaudi2-50213
- Dramatic Performance Gains: In NPU environments, we have achieved even more dramatic performance improvements than on GPUs, recording speedups of over 10x in some cases.
- Proven in Production: A portion of Yetter.ai's live traffic is already being processed on NPUs, allowing us to continuously accumulate real-world validation and operational experience.
Primary Collaboration Partners: Growing the Ecosystem Together
Our proprietary Yetter Inference Engine is designed to maximize model performance across a diverse range of hardware, including GPUs, Intel Gaudi NPUs, and, in the future, NPUs from Rebellions. Through this engine, we look forward to collaborating with the following partners:
- Companies and Individual Developers Using Generative Media: Leverage Yetter.ai's fast and efficient API to build innovative services with generative images and videos. Our diversified technology stack and supply chain, spanning both GPUs and NPUs, ensure service stability and mitigate risks.
- Cloud Service Providers (CSPs): CSPs with diverse hardware infrastructure, including NPUs and GPUs, can use the Yetter Inference Engine to efficiently offer image and video generation services. This leads to higher resource utilization and improved profitability.
- NPU Manufacturers: NPU manufacturers can leverage the Yetter Inference Engine to showcase their hardware's capabilities in the competitive generative AI market. Integrating with our engine provides a tangible, real-world use case and serves as powerful proof of performance and value to potential enterprise customers. SqueezeBits has already ported the inference engine to the Intel Gaudi NPU, where it handles live service traffic, and is actively working with Rebellions to support their next-generation hardware.
Conclusion and Future Outlook
Yetter.ai is more than just another generative AI API. It is the culmination of SqueezeBits' long-standing dedication and technical expertise in AI model optimization. With our deep understanding of both software and hardware, we aim to move beyond the race to create "faster models" and instead demonstrate the true value of "more efficiently delivered models."
With Yetter.ai, which delivers on all fronts—speed, cost, quality, and flexibility—we invite you to bring your ideas to life. SqueezeBits will continue to push the boundaries of AI technology and work with our partners to build a sustainable AI ecosystem.
For API access and partnership inquiries, please visit the SqueezeBits website.
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