Nvidia ML System Design Interview Questions
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Discuss Transformer LLM Design
System-Design-Oriented LLM Question Context: You are designing, fine-tuning, and operating a Transformer-based large language model (LLM) that answers...
Explain ML compilation optimizations and hardware fit
ML Compiler Optimizations and Platform Targeting Context You are designing a compiler/runtime stack for deep learning workloads that must run efficien...
Explain ML framework trends
ML Framework Trends, Compilation Pipeline to GPU, and Hardware-Aware Deployment Context You are asked to explain how modern machine learning framework...
Describe model-to-GPU execution pipeline
From Model Definition to GPU Execution: Pipeline and Optimizations You are asked to explain the end-to-end path a machine learning model takes from au...
Design and benchmark optimized inference pipelines
Accelerating PyTorch Inference: TorchDynamo, Techniques, and Benchmark Design Context You are asked to explain how PyTorch's compilation stack acceler...