Just hours before the launch of Starship Flight 11, NVIDIA CEO Jensen Huang handed over the DGX Spark (the world’s smallest AI supercomputer) to Elon Musk at SpaceX headquarters!

💻 DGX Spark

• Weight: Just 1.2 kg — the size of a small desktop machine.
• Performance: 1 petaflop of computing power (a trillion operations per second on your desk).
• Processor: Grace Blackwell GB10 Superchip with 128GB unified memory and data transfer speeds 5x faster than PCIe Gen5.

Let’s unpack this carefully 🤔

✴️ Power consumption: DGX Spark uses only 240 watts, with a purchase cost under $4,000. It can run a 200-billion parameter model locally. Compare that to the monthly cost of Claude Max (around $200), plus OpenAI subscriptions — in one year, you’re likely to spend more than the cost of the device just on API usage.

✴️ It offers privacy advantages by enabling full offline operation — no need for the cloud.

✴️ It’s like having a consultation with the Oracle, without plugging into the Matrix, while using the energy equivalent of just 4 lightbulbs.

✴️ For context:

• The first DGX (in 2016) cost around $129,000,
• Weighed over 100 lbs (45+ kg),
• Consumed 3 kilowatts of power.

✴️ Now, DGX Spark can train models with up to 70 billion parameters locally, no data centers or cloud required!!

A historic comparison 💡
Nine years ago, in 2016, Huang delivered the first DGX-1 to Elon Musk at a small OpenAI office. That device helped ignite the revolution that eventually gave us ChatGPT. Today, the same compute power — 1 petaflop — fits in your backpack. 🎒

✴️ DGX Spark democratizes supercomputing, putting it in the hands of researchers, creators, and startups!

It truly is the MacBook of AI computing ~

Read more 👇
https://nvidianews.nvidia.com/news/nvidia-dgx-spark-arrives-for-worlds-ai-developers?linkId=100000386948437