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PWOnlyIAS
April 16, 2025
Recently, Google released a new computer chip, called Ironwood.
| Feature | CPU | GPU | TPU |
| Purpose | General-purpose processing | Parallel processing for graphics & AI | TPUs are custom-built processors developed by Google for AI and machine learning. |
| Core Count | 2–16 cores | Thousands of smaller cores | Fewer, highly optimized cores |
| Processing Style | Sequential | Parallel | Parallel, tensor-optimized |
| Use Case | Operating systems, general tasks | Gaming, video editing, AI workloads | Deep learning, neural network training |
| Speed (AI Tasks) | Slowest | Faster | Fastest (high throughput AI performance) |
| Flexibility | Highly flexible | Moderate flexibility | Highly specialized |
While CPUs remain essential for general computing, GPUs offer strong performance for parallel tasks, and TPUs take specialization further by accelerating AI and machine learning tasks with unmatched efficiency.
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