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Smallest AI Computer in the World: American company NVIDIA is launching the world's smallest AI computer. The company has announced the launch of its new AI computer, the DGX Spark. It will be available for sale on NVIDIA's website and in select stores starting October 15th. This small device weighs just 2.6 pounds. It looks like a normal desktop, but it's not designed for the general public. It's specifically designed for developers, scientists, and students who work on AI models. Let's find out what features this special computer has and how much it costs.

According to nvidia.com, the DGX Spark features NVIDIA's new GB10 Grace Blackwell superchip. This chip features a 20-core Arm-based Grace CPU and Blackwell GPU. It's equipped with CUDA cores similar to the RTX 5070 graphics card. This superchip delivers the AI power of 1000 trillion operations per second. It also features 5th-Gen Tensor Cores and FP4 support, making it more powerful. NVIDIA developed it to allow users to deploy large models without the cloud.

What Features Does the Smallest AI Computer Have?

The DGX Spark uses NVLink-C2C technology, which provides five times more bandwidth than PCIe Gen 5. This allows for faster data transfer between the CPU and GPU. It's ideal for heavy-duty tasks like model inference, robotics simulations, and generative AI. It features 128GB of LPDDR5x memory for both the CPU and GPU, and 4TB of NVMe storage. For connectivity, it also has four USB-C ports, Wi-Fi 7, and an HDMI port.

It can be plugged into a socket.

The AI ​​computer is small enough to fit easily into a backpack. It's powerful enough to run modern AI models with ease. NVIDIA says it works well with its foundation models, such as Cosmos Region and GR00T N1. Developers can use it to train, fine-tune, and deploy models. The device runs on a standard power outlet, making it easy to use anywhere.

What is the price of the DGX Spark?

The DGX Spark, an AI computer, is priced at $3,999 (approximately Rs 3.55 lakh). However, this price does not include local taxes, which would increase the price even more. While this price may seem excessive to ordinary users, it is considered affordable for developers and small labs.

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