Maximize your LLM serving throughput for GPUs on GKE — a practical guide
Let’s face it: Serving AI foundation models such as large language models (LLMs) can be expensive. Between the need for hardware accelerators to achieve lower latency and the fact that these accelerators are typically not efficiently utilized, organizations need an AI platform that can serve LLMs at scale while minimizing the cost per token. Through …
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