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This article provides a comprehensive overview of the complete technology stack for cloud deployment of Transformer inference, covering application scenarios, workload definition, models, inference engines, hardware, observability, and performance optimization, along with future trends.
This article describes how to use the SYCL backend with llama.cpp to achieve over 60 tokens per second on the Qwen 3.6-35B-A3B model using an Intel Arc Pro B70 GPU, with the entire model and KV cache in VRAM.