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Qwen3 is an AI model family developed by Alibaba, released as a set of large language models for natural-language tasks.
… Get started with Qwen3.5 From data center deployments on NVIDIA Blackwell to NVIDIA NIM microservice for containerized deployment anywhere, NVIDIA offers solutions for your integration of Qwen3.5. To get started, check out the Qwen3.5 model page on Hugging Face and test Qwen3.5 on build.nvidia.com . …
… NVIDIA In-Game Inferencing Plugins & Model Support The NVIDIA In-Game Inferencing SDK provides plugin support for a number of different language and speech models including: NVIGI Plugin Supported Inference Hardware Supported Models Speech - ASR Local TRT CUDA-Enabled GPU Riva ASR Speech - TTS Loca… …
… TensorRT Edge-LLM now offers support for Qwen3-TTS and Qwen3-ASR , a native multimodal model with Thinker-Talker architecture capable of voice interaction. …
… From a user’s perspective, comparing backends is a one-flag change: TensorRT LLM aiconfigurator cli default \ --model-path nvidia/Qwen3-32B-NVFP4 \ --total-gpus 64 --system b200 sxm \ --backend trtllm SGLang aiconfigurator cli default \ --model-path nvidia/Qwen3-32B-NVFP4 \ --total-gpus 64 --system… …
… Ultimately, Qwen3‑32B is fine‑tuned on this telco reasoning curriculum with long sequence lengths and tensor model parallelism across GPUs. …
… FP8 end-to-end on MoE models: Qwen3-30B Similar experiments were run on mixture-of-experts MoE models, with results for Qwen3-30B showing matching accuracy curves. …
… The NVIDIA team used 256 NVIDIA GB300 GPUs with PP4DP64EP64 for Kimi K2 training and eight NVIDIA GB300 GPUs with DP8EP8 for Qwen3 30B-A3B training. …
… The Qwen3-VL vision-language submission used the vLLM open source framework, showing how the community is rapidly building advanced multimodal optimizations to accelerate image-heavy inference workloads on the latest GPUs like NVIDIA Blackwell Ultra. …