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A user shares their optimized configuration for deploying the Qwen3.8-Flash-Next model on dual DGX Spark hardware, achieving up to 50t/s decode and 2,900t/s prefill speeds with technical patches and setup details.
NVIDIA released a 26B MoE multimodal model called DiffusionGemma on Hugging Face, using NVFP4 quantization and achieving over 1,100 tokens per second on Hopper hardware.
A community member released Qwen3.6-35B-A3B-PRISM-NVFP4, a multi-pass, dataset-calibrated zero-loss NVFP4 quantized variant of the Qwen model.
Red Hat AI released an NVFP4-quantized 35B MoE version of Qwen3.6 that retains 96.28% GSM8K accuracy while enabling 4-bit inference via vLLM.