When people hear NVIDIA, the first thing that comes to mind is GPUs. And that's completely understandable; NVIDIA has become the leader in AI acceleration.
But here's something that surprises many beginners...
👉 NVIDIA also builds CPUs.
If you look at the evolution of NVIDIA's DGX AI systems in the timeline below, you'll notice that NVIDIA has gradually evolved from being just a GPU company to building an entire AI computing platform.
🤔 Why did NVIDIA start building CPUs?
As AI models continue to grow, moving data between the CPU and GPU has become a major bottleneck.
Instead of relying only on CPUs from Intel or AMD, NVIDIA designed its own Grace CPU specifically for AI and high-performance computing.
The result is:
✅ Faster communication between CPU and GPU
✅ Higher memory bandwidth
✅ Better performance for training and inference
✅ Lower power consumption for large AI workloads
This combination of Grace CPU + Hopper/Blackwell GPUs is what NVIDIA calls Grace Hopper (GH200) and Grace Blackwell (GB200/GB300) systems.
🔗 Nvidia Exam labs: https://lnkd.in/gBEAAhk2
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🟡 NVIDIA-Certified Associate: AI Infrastructure and Operations
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