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Best practices to accelerate inference for large-scale production workloads

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Running LLMs in production requires more than deploying a model. This guide covers the four essential components that determine whether your inference infrastructure scales: optimized kernels that actually saturate GPU hardware, quantization strategies that preserve quality while cutting costs, speculative decoding that reduces latency without accuracy loss, and infrastructure design that handles real-world traffic…

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