GPU LLM KV Cache Strategies in GKE

Google Kubernetes Engine (GKE) can assist you in effectively managing workloads and infrastructure by providing capabilities like load balancing and autoscaling

Integrating LLMs requires cost-effective application service and maximum throughput within a latency bound

Here are some suggestions to help you get the most out of your NVIDIA GPU providing throughput on GKE

1. Does your model need to be quantized? If yes, which quantization ought you to apply?

2. How do you choose the right kind of machine for your model?

Which GPU ought to be utilized?

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