Guides · Technology
CPU vs GPU Computing
Pick the right processor
CPUs suit general-purpose, branching work; GPUs offer massive parallelism for vector/matrix tasks like ML and graphics—choose based on workload.
- cpu
- gpu
- parallelism
- throughput
- latency
CPU Strengths
Great for varied, sequential, and latency-sensitive tasks.
GPU Strengths
Great for parallel math, ML training/inference, and rendering.
Choose Fit
Map workload needs to cost/performance of CPU/GPU options.
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