๐ก๐ฉ๐๐๐๐: ๐ง๐ต๐ฒ ๐๐ ๐๐ป๐ณ๐ฟ๐ฎ๐๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ ๐๐ถ๐ฎ๐ป๐
NVIDIA is no longer just a graphics card company. It is now the architect of the AI era. The company sells entire data center systems instead of single parts.
Here is what is happening right now:
โข New Vera CPUs: NVIDIA is taking orders for Vera CPUs in China. This helps them bypass GPU export rules. Major cloud providers are already ordering these units.
โข RTX Spark Superchip: CEO Jensen Huang announced this chip for laptops. It delivers 1 petaflop of AI compute and 128GB of memory. It aims to compete with Apple and Intel.
โข Local AI is possible: You can now run large models like Nemotron 4B on a laptop with 8GB VRAM. You do not need cloud credits to build and test AI agents.
โข Agent Tools: NVIDIA is releasing tools like the NeMo Agent Toolkit. These help developers build and manage teams of AI agents.
โข Expanding Hardware: The new Vera Rubin architecture treats entire server racks as one massive computer. This makes training huge models much faster.
The Strategy:
NVIDIA uses a "co-design" approach. They build the CPU, GPU, memory, and software to work together as one unit. This creates a strong ecosystem. If you use their GPUs, you will likely use their CPUs and software too.
Market Competition:
- AMD: Gaining ground in gaming with the RX 9070 XT.
- Apple: Leading in efficient laptop AI with M-series chips.
- Intel: Still strong in general server CPUs.
- Custom Chips: Google and Amazon build their own chips for specific tasks.
The takeaway for developers is clear. The tools to start AI development are getting easier to use. However, scaling these tools for big companies requires the full NVIDIA stack.
Source: https://dev.to/gautammanak1/nvidia-deep-dive-593
Optional learning community: https://t.me/GyaanSetuAi