Why I Built kaggle-vllm: Reproducible vLLM Inference on Dual NVIDIA T4 GPUs
An evidence-first introduction to the compatibility, provenance, and experiment design behind running upstream vLLM in a managed dual-T4 notebook environment.
ENGINEERING RESEARCH NOTEBOOK
AI Inference & GPU Systems Engineer
Reproducible experiments in vLLM, CUDA, GPU serving, distributed inference, and Kubernetes—built from source code, measured artifacts, and explicit limitations.
FEATURED PROJECT
A compatibility and runtime-delivery toolkit for reproducible upstream vLLM inference on an explicitly validated Kaggle dual-NVIDIA-T4 environment.
Project scope and evidence →