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160160## What's next?
161161
162- 1 . Browse the dedicated [ SGLang] ( https://dstack.ai/examples/inference/sglang/ )
162+ 1 . Read the [ Qwen/Qwen3.6-27B model card] ( https://huggingface.co/Qwen/Qwen3.6-27B )
163+ 2 . Read the [ Qwen 3.6 SGLang cookbook] ( https://docs.sglang.io/cookbook/autoregressive/Qwen/Qwen3.6 )
164+ 3 . Read the [ Qwen 3.5 & 3.6 vLLM recipe] ( https://docs.vllm.ai/projects/recipes/en/latest/Qwen/Qwen3.5.html )
165+ 4 . Browse the dedicated [ SGLang] ( https://dstack.ai/examples/inference/sglang/ )
163166 and [ vLLM] ( https://dstack.ai/examples/inference/vllm/ ) examples
164- 2 . Check the [ AMD] ( https://dstack.ai/examples/accelerators/amd/ ) example for
167+ 5 . Check the [ AMD] ( https://dstack.ai/examples/accelerators/amd/ ) example for
165168 more AMD deployment and training configurations
166- 3 . Run [ NCCL/RCCL tests] ( https://dstack.ai/examples/clusters/nccl-rccl-tests/ )
169+ 6 . Run [ NCCL/RCCL tests] ( https://dstack.ai/examples/clusters/nccl-rccl-tests/ )
167170 if you're validating multi-node cluster networking
168- 4 . Read the [ Qwen 3.6 SGLang cookbook] ( https://docs.sglang.io/cookbook/autoregressive/Qwen/Qwen3.6 )
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