Open source AI models allow developers and researchers to build upon existing knowledge to accelerate progress toward groundbreaking applications. Open sourcing models is also a key step in maintaining the ethics and integrity of AI as a field.

The brightest minds in AI often struggle, however, to access the latest open source models and the resources needed to build with them, presenting massive barriers to progress.

Hyperbolic’s AI Inference Service gives builders fast access to leading open-source models through a simple, scalable platform. Developers can experiment, prototype, and deploy AI applications without the overhead of managing model hosting or GPU infrastructure.

What’s Gatekeeping Open Source AI?

While open source AI models are technically free and available to anyone, the paradox of "open source" AI lies in the hurdles put around it.

The computational demands of running open source AI models alone are staggering—most models require cutting-edge GPUs or specialized hardware that can cost builders as much as a new car. Even with the right hardware, the storage required for hosting a model can balloon to hundreds of gigabytes, or even terabytes.

Actually getting these models to run is like being handed the keys to a Formula 1 car—free to use, but requiring a highly specialized skillset beyond that of any other type of race car to operate. Getting optimal performance requires careful fine-tuning, optimization, and expertise in a maze of software dependencies.

Open-source models are easier to access than ever, but they are not always easy to run. As models grow in size and complexity, teams need GPU capacity, optimized inference infrastructure, monitoring, updates, and ongoing maintenance to use them reliably. That turns model deployment into an infrastructure problem.

For many builders, the challenge is no longer finding the right model. It is getting that model into production quickly, reliably, and cost-effectively.

Hyperbolic: The Gateway to Open Source AI

Hyperbolic's AI Inference Service breaks down barriers and provides unparalleled access to the latest open source AI models, hosting:

Vision Language Models (VLMs), combining visual and textual understanding

  • Qwen2-VL-7B-Instruct

  • Pixtral-12B

  • Qwen2-VL-7B

Base Models allowing access to the raw power of foundational AI

  • Llama 3.1–405B-BASE (BF16)

  • Llama 3.1–405B-BASE (FP8)

Text-to-text models for natural language processing tasks

  • Qwen2.5–Code-32B

  • Llama 3.2–3B

  • DeepSeek-V2.5

  • Llama 3.1–7B

  • Hermes–3-70B

  • Llama 3.1–405B

  • Llama 3.1–3B

  • Llama 3.1–88

Text-to-image models to unleash your creativity with AI-generated visuals

  • Flux 1 [dev]

  • SDXL-1.0

  • Segmind SD–1B

  • Stable Diffusion–1.5

  • SDXL-1.0-Turbo

Text-to-speech models for voice synthesis applications

  • Melo TTS

We are committed to onboarding open source models as soon as they hit the market, being among the first to offer Llama 3.2 90B Vision BASE. We also actively respond to user requests for new models, ensuring our platform evolves with builders’ needs.

Hyperbolic’s inference platform uses optimization technology to improve GPU utilization and model-serving performance. This helps teams run leading models efficiently, reduce infrastructure overhead, and access production-ready inference at a lower cost than traditional providers.

At Hyperbolic, we're not just providing access to open source AI models—we're fostering an ecosystem where innovation thrives. We're empowering developers, researchers, and businesses to push the boundaries of what's possible with AI by offering affordable, high-performance access to open source AI.

Join us in shaping the future of AI. Take your ideas Hyperbolic and experience the power of truly accessible open-source AI today by visiting app.hyperbolic.ai