ModelsSelected

d3-ultra multimodal model released with Apache-2.0 weights

Why we picked it

d3-ultra being trained and served entirely on AMD Instinct GPUs shows an alternative to the Nvidia-dominated inference stack, a meaningful signal for teams weighing hardware costs. Developers building routing or decision systems can inspect the per-answer probability outputs and deploy via vLLM immediately using the open weights.

The vLLM Semantic Router team and AMD released d3-ultra, an open multimodal decision-making model. It provides per-answer probabilities, visual grounding and video tracking capabilities. The model was trained and served on AMD Instinct GPUs. Apache-2.0 licensed weights are available on Hugging Face.

Original · vLLM

Great work from @AMD and the vLLM Semantic Router team on d3-ultra! Open multimodal decision-making with per-answer probabilities, visual grounding, and video tracking—trained and served on AMD Instinct GPUs. Apache-2.0 weights on @huggingface.