A parallel processing chip optimized for matrix operations, making it ideal for training and running neural networks. NVIDIA's H100 is the dominant AI GPU.
A super-fast computer chip that helps AI think really quickly — it was originally made for video games but now it powers AI.
A specialized computer chip that can do thousands of calculations at once. Originally for gaming graphics, GPUs are now essential for training and running AI models.
A parallel processing chip optimized for matrix operations, making it ideal for training and running neural networks. NVIDIA's H100 is the dominant AI GPU.
A massively parallel processor architecture providing the FLOPS needed for deep learning — modern AI training clusters aggregate thousands of GPUs/TPUs connected via high-bandwidth interconnects.
A SIMT (single instruction, multiple threads) processor providing teraFLOPS of dense and sparse compute — the fundamental unit of AI training infrastructure, with scaling governed by Amdahl's law, interconnect bandwidth, and memory hierarchy constraints.
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