Your LLM Demo Works. Now Who Pays the GPU Bill?
中文摘要
LLM 演示成功后，应对延迟、吞吐量、内存及 GPU 成本等工程挑战是关键。
English Summary
Beyond successful LLM demos, AI products must overcome engineering challenges like latency, throughput, memory, and GPU costs.
Original Excerpt
The hidden engineering problem behind every AI product: latency, throughput, memory, and cost. Continue reading on Medium »