Why did AI and deep learning abandon CPUs for GPUs? From ALU architecture to CUDA memory hierarchy and generative AI principles.
Why does MacBook battery last long? Should I use AWS Graviton? A deep dive into the philosophy of CISC (Complex) vs RISC (Simple) architectures.
The gold mine of AI era, NVIDIA GPUs. Why do we run AI on gaming graphics cards? Learn the difference between workers (CUDA) and matrix geniuses (Tensor Cores).
Bought a fast SSD but it's still slow? One-lane country road (SATA) vs 16-lane highway (NVMe).
LP records vs USB drives. Why physically spinning disks are inherently slow, and how SSDs made servers 100x faster.
| Feature | CPU (Central Processing Unit) | GPU (Graphics Processing Unit) |
|---|---|---|
| Core Count | Few (4 ~ 64) | Massive (Thousands ~ Tens of thousands) |
| Per-Core Performance | Very High (Genius) | Low (Student) |
| Primary Goal | Low Latency (Fast response) | High Throughput (Mass processing) |
| Control Logic | Complex (Branch prediction, OOO execution) | Simple |
| Cache Memory | Large (L1/L2/L3) | Small (Shared memory) |
| Instruction Model | SISD (or limited SIMD) | SIMT (Single Instruction Multiple Threads) |
| Specialized Tasks | OS, web servers, complex logic | Graphics rendering, deep learning, crypto mining |
| Analogy | Ferrari, Einstein | Bus, Army of students |
| Price (Consumer) | $150 ~ $1,000 | $300 ~ $2,000 |
| Price (Server) | $1,000 ~ $10,000 | $3,000 ~ $40,000 (H100) |
