AMD is delivering Day 0 support for Qwen3.8 27B, giving developers a path to run this state-of-the-art dense model locally on AMD-powered PCs and workstations from the moment it becomes available.
Qwen3.8 27B brings the latest generation of the Qwen family to a model size well suited for local AI development. The Qwen 3.8 generation continues the focus on coding, real-world work, research, and long-horizon AI workloads, extending the rapid pace of innovation we are seeing across open AI.
Users can bring Qwen3.8 27B directly to systems powered by AMD Ryzen™ AI Max+ processors or a single AMD Radeon™ AI PRO R9700 32 GB graphics card through open frameworks like llama.cpp. This model can also run on supported AMD hardware with more than 24 GB of Variable Graphics Memory or VRAM. This puts a capable new model on the same machine where they build, test, and use their applications. And it is ready on Day 0.
Early testing shows strong local performance for Qwen3.8 27B on AMD hardware, reaching up to 24.5 tokens per second on AMD Ryzen™ AI Max+ 395 and up to 51.8 tokens per second on a single AMD Radeon™ AI PRO R9700. As a 27B dense model, Qwen3.8 27B places substantial demands on memory capacity and compute, making capable local hardware especially important.
These preliminary results were measured on Windows using the popular llama.cpp project with the Vulkan backend, with MTP=4 on Ryzen AI Max+ 395 and MTP=2 on Radeon AI PRO R9700, using average token-generation throughput across three or more runs. With additional software and model optimizations still underway, we expect performance to continue improving as Day 0 support matures.
Run with LM Studio
For power users and enthusiasts who want to start using Qwen3.8 27B immediately, LM Studio provides a straightforward path to running the model locally.
On supported AMD systems, users can discover, download and begin working with the model from a familiar graphical experience. Qwen3.8 27B can be used with LM Studio on recommended AMD hardware including AMD Ryzen™ AI Max+ processor-based systems and the AMD Radeon™ AI PRO R9700 32 GB graphics card. Note that this model requires roughly 24GB of variable graphics memory (VGM) or VRAM to run comfortably and will also run on older, supported AMD platforms in LM Studio.
That makes LM Studio an easy first stop for exploring the model, testing prompts and workflows, and seeing what Qwen3.8 27B can do locally without writing a line of application code. For AMD users, LM Studio is part of a growing local AI ecosystem built around open models and broadly adopted inference technologies such as llama.cpp, giving users an accessible path from model download to local inference.
Integrate with Lemonade
Running a model is only the first step. The bigger developer opportunity is making local AI a native part of an application.
That is where Lemonade comes in.
Lemonade is AMD’s local-first developer platform designed to reduce the complexity of deploying AI across PCs. Its multi-engine architecture provides a unified interface while handling hardware-aware backend selection and optimization across available CPU, GPU, and NPU resources. AMD designed Lemonade specifically around the deployment challenges developers face when building local AI applications across different hardware configurations.
For application developers, Lemonade can be packaged alongside an app as a lightweight local inference layer, allowing the application to communicate with Qwen3.8 27B through familiar API patterns rather than requiring developers to build and maintain a hardware-specific inference stack themselves.
The result is a much simpler developer story: ship the application, start the local inference service, connect to the model, and let Lemonade handle the underlying AMD platform integration.
Advancing AI with Day 0 support for State-of-the-Art local models
The pace of open AI is not slowing down, and users should not have to wait for their hardware and software ecosystem to catch up every time a new model arrives.
Qwen3.8 27B is another important step forward for local AI, bringing a new generation of capabilities into a model users can put directly on their own systems.
AMD Ryzen AI Max+ processors and AMD Radeon AI PRO R9700 graphics give developers powerful local platforms to run it. LM Studio provides a fast path to experience it. Lemonade provides a path to turn it into an application.
And with Day 0 support from AMD, you can start building from day one.
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