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ACTIVEAIGPU Computing
Running Local LLM Infrastructure
Deploying and operating LLM inference outside of hosted APIs — model serving, GPU allocation and private inference.
PROBLEM
What does it take to run inference reliably on infrastructure you control, instead of a hosted API?
SOFTWARE
GPU inference runtimes, model servers
ENGINEERING
- Model serving architecture
- GPU resource allocation for inference workloads
- Latency and throughput tradeoffs under local deployment
RESULT
An active area of AI infrastructure investigation — findings are published in the engineering notes as they develop.