From Fragment Shaders to Tensor Cores: How CUDA Actually Works ?
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Your system has a CPU. It probably also has a GPU. They look similar on a spec sheet - both have "cores," both run at some clock speed, but they were built to solve completely different problems. Understanding why is the key that unlocks everything else about CUDA. Why does this hardware even exist? A CPU is latency-optimized. Its job is to finish one complex task as fast as possible, so a large fraction of its transistor budget goes toward things that have nothing to do with raw arithmetic:…
1Key Takeaways
- They look similar on a spec sheet - both have "cores," both run at some clock speed, but they were built to solve completely different problems.
- Understanding why is the key that unlocks everything else about CUDA.
- Its job is to finish one complex task as fast as possible, so a large fraction of its transistor budget goes toward things that have nothing to do with raw arithmetic:….
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that they look similar on a spec sheet - both have "cores," both run at some clock speed, but they were built to solve completely different problems.
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