Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

PhysToolBench: Benchmarking Physical Tool Understanding for MLLMs – Takara TLDR

All colleges offered preferential funding plan MIT rejected

Researchers find that retraining only small parts of AI models can cut costs and prevent forgetting

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • OpenAI (GPT-4 / GPT-4o)
    • Anthropic (Claude 3)
    • Google DeepMind (Gemini)
    • Meta (LLaMA)
    • Cohere (Command R)
    • Amazon (Titan)
    • IBM (Watsonx)
    • Inflection AI (Pi)
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • AI Experts
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • The TechLead
    • Matt Wolfe AI
    • Andrew Ng
    • OpenAI
    • Expert Blogs
      • François Chollet
      • Gary Marcus
      • IBM
      • Jack Clark
      • Jeremy Howard
      • Melanie Mitchell
      • Andrew Ng
      • Andrej Karpathy
      • Sebastian Ruder
      • Rachel Thomas
      • IBM
  • AI Tools
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
  • AI Policy
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
  • Business AI
    • Advanced AI News Features
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
NVIDIA AI

NVIDIA DGX Spark Arrives for World’s AI Developers

By Advanced AI EditorOctober 14, 2025No Comments6 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


News Summary:

NVIDIA founder and CEO Jensen Huang delivers DGX Spark to Elon Musk at SpaceX.This week, NVIDIA and its partners are shipping DGX Spark, the world’s smallest AI supercomputer, delivering NVIDIA’s AI stack in a compact desktop form factor.Acer, ASUS, Dell Technologies, GIGABYTE, HPI, Lenovo and MSI debut DGX Spark systems, expanding access to powerful AI computing.Built on the NVIDIA Grace Blackwell architecture, DGX Spark integrates NVIDIA GPUs, CPUs, networking, CUDA libraries and NVIDIA AI software, accelerating agentic and physical AI development.

SANTA CLARA, Calif., Oct. 13, 2025 (GLOBE NEWSWIRE) — NVIDIA today announced it will start shipping NVIDIA DGX Spark™, the world’s smallest AI supercomputer.

AI workloads are quickly outgrowing the memory and software capabilities of the PCs, workstations and laptops millions of developers rely on today — forcing teams to shift work to the cloud or local data centers.

As a new class of computer, DGX Spark delivers a petaflop of AI performance and 128GB of unified memory in a compact desktop form factor, giving developers the power to run inference on AI models with up to 200 billion parameters and fine-tune models of up to 70 billion parameters locally. In addition, DGX Spark lets developers create AI agents and run advanced software stacks locally.

“In 2016, we built DGX-1 to give AI researchers their own supercomputer. I hand-delivered the first system to Elon at a small startup called OpenAI — and from it came ChatGPT, kickstarting the AI revolution,” said Jensen Huang, founder and CEO of NVIDIA. “DGX-1 launched the era of AI supercomputers and unlocked the scaling laws that drive modern AI. With DGX Spark, we return to that mission — placing an AI computer in the hands of every developer to ignite the next wave of breakthroughs.”

Evolution of AI Computing: NVIDIA DGX-1 to DGX Spark

DGX Spark brings together the full NVIDIA AI platform — including GPUs, CPUs, networking, CUDA® libraries and the NVIDIA AI software stack — into a system small enough for a lab or an office, yet powerful enough to accelerate agentic and physical AI development. By combining breakthrough performance with the reach of the NVIDIA ecosystem, DGX Spark transforms the desktop into an AI development platform.

DGX Spark systems deliver up to 1 petaflop of AI performance, accelerated by a NVIDIA GB10 Grace Blackwell Superchip, NVIDIA ConnectX®-7 200 Gb/s networking and NVIDIA NVLink™-C2C technology, providing 5x the bandwidth of fifth-generation PCIe with 128GB of CPU-GPU coherent memory.

The NVIDIA AI software stack is preinstalled to enable developers to start working on AI projects out of the box. With DGX Spark, developers can access NVIDIA AI ecosystem tools including models, libraries, and NVIDIA NIM™ microservices, enabling local workflows such as customizing Black Forest Labs’ FLUX.1 models to refine image generation, creating a vision search and summarization agent using the NVIDIA Cosmos™ Reason vision language model, or building an AI chatbot using Qwen3 that is optimized for DGX Spark.

To celebrate DGX Spark shipping worldwide, Huang hand-delivered one of the first units of DGX Spark to Elon Musk, chief engineer at SpaceX, today in Starbase, Texas. The exchange was a connection to the supercomputer’s origins, as Musk was among the team that received the first NVIDIA DGX™-1 supercomputer from Huang in 2016.

Other early recipients of DGX Spark, including Anaconda, Cadence, ComfyUI, Docker, Google, Hugging Face, JetBrains, LM Studio, Meta, Microsoft, Ollama and Roboflow, are testing, validating and optimizing their tools, software and models for DGX Spark.

Research organizations around the world, including the NYU Global Frontier Lab, previewed DGX Spark to boost their AI development.

“DGX Spark allows us to access peta-scale computing on our desktop,” said Kyunghyun Cho, professor of computer and data science at the NYU Global Frontier Lab. “This new way to conduct AI research and development enables us to rapidly prototype and experiment with advanced AI algorithms and models — even for privacy- and security-sensitive applications, such as healthcare.”

NVIDIA DGX Spark Now Shipping
Starting Wednesday, Oct. 15, DGX Spark can be ordered on NVIDIA.com. Partner systems will be available from Acer, ASUS, Dell Technologies, GIGABYTE, HP, Lenovo, MSI as well as Micro Center stores in the U.S., and from NVIDIA channel partners worldwide.

About NVIDIA
NVIDIA (NASDAQ: NVDA) is the world leader in AI and accelerated computing.

For further information, contact:
Alex Shapiro
Public Relations
NVIDIA Corporation
+1-415-608-5044
ashapiro@nvidia.com 

Certain statements in this press release including, but not limited to, statements as to: with DGX Spark, NVIDIA placing an AI computer in the hands of every developer to ignite the next wave of breakthroughs; the benefits, impact, performance, and availability of NVIDIA’s products, services, and technologies; expectations with respect to NVIDIA’s third party arrangements, including with its collaborators and partners; expectations with respect to technology developments; and other statements that are not historical facts are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the “safe harbor” created by those sections based on management’s beliefs and assumptions and on information currently available to management and are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic and political conditions; NVIDIA’s reliance on third parties to manufacture, assemble, package and test NVIDIA’s products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA’s existing product and technologies; market acceptance of NVIDIA’s products or NVIDIA’s partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA’s products or technologies when integrated into systems; and changes in applicable laws and regulations, as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

© 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, ConnectX, CUDA, DGX, NVIDIA Cosmos, NVIDIA NIM and NVLink are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other NVIDIA trademarks and service marks not listed herein are also the property of NVIDIA Corporation. All rights reserved. All other company and product names are trademarks or registered trademarks of their respective owners. Features, pricing, availability and specifications are subject to change without notice.

Photos accompanying this announcement are available at 

https://www.globenewswire.com/NewsRoom/AttachmentNg/ee138c12-fd60-431a-9b43-c6fb1a34287c

https://www.globenewswire.com/NewsRoom/AttachmentNg/a6e9e492-6a02-47d9-9042-856c567fd7c9

Primary Logo



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleMIT rejects Trump’s reform deal, citing threats to ‘freedom of expression’
Next Article Connect Amazon Quick Suite to enterprise apps and agents with MCP
Advanced AI Editor
  • Website

Related Posts

NVIDIA-Backed Reflection AI Raises $2B, Valuation Jumps to $8B

October 13, 2025

Assessing Valuation After NVIDIA AI Partnership and Manufacturing Expansion

October 12, 2025

Singapore company allegedly helped China smuggle $2 billion worth of Nvidia AI processors, report claims — Nvidia denies that the accused has any China ties, but a U.S. investigation is underway

October 12, 2025

Comments are closed.

Latest Posts

Egyptian Archaeologists Discover Large New Kingdom Military Fortress

Joan Weinstein to Head Vice President for Getty-Wide Program Planning

India Plots First Venice Biennale Pavilion in Seven Years

Artist Behind Canterbury Cathedral Art Responds to JD Vance, Elon Musk

Latest Posts

PhysToolBench: Benchmarking Physical Tool Understanding for MLLMs – Takara TLDR

October 14, 2025

All colleges offered preferential funding plan MIT rejected

October 14, 2025

Researchers find that retraining only small parts of AI models can cut costs and prevent forgetting

October 14, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Recent Posts

  • PhysToolBench: Benchmarking Physical Tool Understanding for MLLMs – Takara TLDR
  • All colleges offered preferential funding plan MIT rejected
  • Researchers find that retraining only small parts of AI models can cut costs and prevent forgetting
  • Nvidia Contributes Vera Rubin Rack Innovations to OCP Community
  • MRMR: A Realistic and Expert-Level Multidisciplinary Benchmark for Reasoning-Intensive Multimodal Retrieval – Takara TLDR

Recent Comments

  1. VortexSpinA2Nalay on Using AI saves teachers ‘six weeks per year,’ Gallup poll finds – but at what cost?
  2. twistyneonemu3Nalay on Artist Stuart Semple Loses Trademark Lawsuit From Yves Klein Estate
  3. twistyneonemu3Nalay on A New Trick Could Block the Misuse of Open Source AI
  4. VortexGoalW2Nalay on Ballet Tech Forms The Future Through Dance
  5. Mirild4Nalay on Class Dismissed? Representative Claims in Getty v. Stability AI | Cooley LLP

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

LinkedIn Instagram YouTube Threads X (Twitter)
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.