08Why are GPUs suited to deep learning, and how do GPUs, CPUs, and TPUs differ?▼hardNVIDIAGoogleOpenAI2 repliesunlockedA hardware-literacy question, particularly at NVIDIA and the labs. What they grade is whether you understand throughput vs latency hardware, the memory hierarchy, and why matrix multiplication maps onto GPUs and TPUs. This is the architecture-aware answer.Open full answer →
14How do you select GPUs for LLM training and inference, and what specs actually matter?▼mediumNVIDIAOpenAIxAI1 replies○ sign inPicking GPUs is a genuine applied decision, and 'get the biggest one' misses the point. The signal is knowing which spec binds your workload (VRAM, bandwidth, interconnect) and the train-versus-serve difference that flips the answer.Open full answer →
