WaveSpeedAI Becomes an Official Hugging Face Inference Provider

Accelerating Every Model on Hugging Face — Faster, Smarter, and More Efficient

WaveSpeedAI is proud to announce that it is now an official Inference Provider on Hugging Face. From today, developers worldwide can select WaveSpeedAI as their acceleration engine when running image or video generation models on Hugging Face. In other words, models don’t just run — they run faster, more reliably, and more efficiently.

Making Every Model on Hugging Face Run Faster and Smarter

Hugging Face is one of the world’s most open and vibrant AI communities, home to nearly every leading generative AI model. WaveSpeedAI’s integration acts like installing a “performance amplifier” inside this ecosystem — unlocking new levels of efficiency for multimodal inference.

• Up to 3× Faster Inference Real-time responsiveness for video and image generation workloads.
• One-Third the Industry Cost Developers achieve higher performance with lower compute budgets.
• Global Low-Latency Coverage From Bali to Málaga, models respond instantly with distributed acceleration nodes worldwide.

One Line of Code. Instant Speed Boost.

This collaboration unites Hugging Face’s open model ecosystem with WaveSpeedAI’s acceleration infrastructure. No redeployment. No API changes. Just add a single parameter to your Hugging Face call, and you will be running on WaveSpeedAI’s high-performance inference engine.

“We’re thrilled to partner with WaveSpeedAI to bring developers an even faster multimodal generation experience on Hugging Face. This marks another step forward in expanding the boundaries of generative AI.” — Adina, Community Lead at Hugging Face

This isn’t just a performance upgrade — it’s a statement about openness and collaboration. Together, we’re helping developers spend less time waiting and more time creating.

Together with Hugging Face: Making AI Generation Faster and More Accessible

At WaveSpeedAI, we believe inference is more than a technical challenge — it’s an efficiency revolution. Our shared vision with Hugging Face is to make AI creativity accessible, real-time, and scalable for everyone. Moving forward, we’ll continue advancing inference acceleration technology to help every creator and startup deploy AI at production-grade speed — while empowering Hugging Face models to reach more users, more applications, and more markets.

“Our goal is to become the default infrastructure for multimodal AI generation — enabling every developer to turn ideas into reality with faster, lighter, and smarter inference. We share this vision with Hugging Face, and together, we’re making it happen.” — Cheng Zeyi, Founder & CEO, WaveSpeedAI

Try WaveSpeedAI-Accelerated GenAI Inference Today

Experience the future of multimodal generation — just one line of code away. Run your favorite Hugging Face model with WaveSpeedAI acceleration now:
👉 Hugging Face && WaveSpeedAI

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