NVIDIA debuts DGX Spark, the AI supercomputer you can fit on your desk

NVIDIA has launched the DGX Spark, the world’s smallest AI supercomputer, which will start shipping this ￰0￱ device integrates GPUs, CPUS, networking, CUDA libraries, and AI ￰1￱ new release has been integrated with the GB10 Grace Blackwell ￰2￱ can deliver up to 1 petaflop of AI performance and 128 GB of unified CPU-GPU memory in a compact desktop form ￰3￱ supercomputer uses ConnectX-7 200 Gb/s networking and NVLink-C2C technology, which provides five times the bandwidth of the fifth-generation ￰4￱ says DGX Spark will democratize AI computing power NVIDIA’s CEO, Jensen Huang, revealed that the DGX Spark returns the firm to its original mission of democratizing AI computing power.

“In 2016, we built DGX-1 to give AI researchers their supercomputer. I hand-delivered the first system to Elon at a small startup called OpenAI, and from it came ￰5￱ DGX Spark, we return to that mission, placing an AI computer in the hands of every developer to ignite the next wave of breakthroughs.” – Jensen Huang , NVIDIA CEO The DGX Spark enables developers to run inference on models with up to 200 billion parameters and fine-tune models of up to 70 billion parameters locally, eliminating the need to rely solely on cloud or data center ￰6￱ latest blog revealed that the DGX Spark has been preloaded with the full NVIDIA AI software stack, including CUDA libraries and NIM ￰7￱ software stack enables immediate deployment of AI workflows, including image generation, vision search, and language model ￰8￱ adopters include Anaconda, Google , Hugging Face, Meta, Microsoft, JetBrains, Docker, and LM Studio, who have validated and optimized their tools for ￰9￱ institutions, such as NYU’s Global Frontier Lab, have also begun testing the ￰10￱ Cho, professor of computer and data science at NYU, said that the DGX Spark allows them to access petascale computing on a ￰11￱ added that it enables rapid prototyping and experimentation with advanced AI models, even for privacy-sensitive applications such as ￰12￱ Spark runs on NVIDIA’s Linux-based DGX OS and is purpose-built for developing and training AI models, rather than consumer ￰13￱ can also link two Spark systems to support models of up to 405 billion ￰14￱ personally delivered one of the first DGX Spark units to Elon Musk at SpaceX’s Starbase facility in Texas to commemorate the launch, echoing the 2016 delivery of the original DGX-1 to ￰15￱ stock jumps 2.88% today following the announcement NVIDIA announced that the DGX Spark will be available for order starting October 15 through NVIDIA’s website and select partner manufacturers, including Acer, ASUS, Dell Technologies, GIGABYTE, HP, Lenovo, and ￰16￱ will also be available at Micro Center retail outlets in the ￰17￱ will be made globally available through the AI lab’s distribution network later. 🚨NVIDIA and its partners will start shipping DGX Spark — the world’s smallest AI supercomputer.⁰⁰Early recipients are testing, validating and optimizing their tools, software and models for DGX ￰18￱ on the NVIDIA Grace Blackwell architecture, DGX Spark integrates… ￰19￱ — NVIDIA Newsroom (@nvidianewsroom) October 13, 2025 The launch follows NVIDIA’s ongoing GPU supply deals with OpenAI, xAI, Amazon, Microsoft, Meta, Google, and other AI ￰20￱ company recently announced a $100 billion GPU supply agreement with OpenAI and a $6.3 billion deal with ￰21￱ reported that the AI chip maker will invest $100 billion into OpenAI to help the AI lab build massive data centers centered on NVIDIA’s ￰22￱ companies revealed that OpenAI will deploy NVIDIA systems that will require 10 gigawatts of power ￰23￱ gigawatt measure, used more often now to better describe large AI chip clusters, sets the scale of the ￰24￱ Huang told CNBC’s Jon Fortt in San Jose, California, that 10 gigawatts equals around 4 to 5 million ￰25￱ matches what the AI chip maker expects to ship this year, twice as much as last ￰26￱ to Google Finance data, NVIDIA stock was trading at $188.32 at the time of publication, representing a 2.88% increase over the past 24 ￰27￱ stock has also maintained a positive YTD of +40.23%, showing sustained positive investor confidence in the AI chip maker’s ￰28￱ your free seat in an exclusive crypto trading community - limited to 1,000 members.