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NVIDIA DGX Spark. World’s smallest AI supercomputer with 128GB memory

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Alex Cheema

47,998 subscribers

312,051 Aufrufe • vor 1 Jahr •via X (Twitter)

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11 Kommentare

Profilbild von The Highly Automated Cat — e/acc ⏩
The Highly Automated Cat — e/acc ⏩vor 1 Jahr

256GB would have been a more direct attack on Apple imo

Profilbild von Alex Cheema - e/acc
Alex Cheema - e/accvor 1 Jahr

Jensen brought out a MacBook. Apple Silicon and NVIDIA hardware will work in unison!

Profilbild von VRLA Tech
VRLA Techvor 1 Jahr

Your next W? A fresh gaming PC. Don’t lose out. 🎮🔥

Profilbild von Ian “Meme” Malcolm
Ian “Meme” Malcolmvor 1 Jahr

How much and where do i press the sold out button?

Profilbild von Gordon Shumway
Gordon Shumwayvor 1 Jahr

I was excited for it but new Mac Studio made it irrelevant. It still can be useful for tasks that require CUDA specifically.

Profilbild von Alex Cheema - e/acc
Alex Cheema - e/accvor 1 Jahr

Waiting for more details to be released but I could see it being better for FLOPS-bound workloads e.g. prefill-heavy inference and finetuning

Profilbild von pr337h4m
pr337h4mvor 1 Jahr

can fit a cluster of five of them to power this droid here

Profilbild von Mik
Mikvor 1 Jahr

Are we closer to the truth on how this compares to Mac Studio?

Profilbild von dozm
dozmvor 1 Jahr

So this is Digits?

Profilbild von Richard
Richardvor 1 Jahr

Needs at least 256GB memory.

Profilbild von Jan Koch
Jan Kochvor 1 Jahr

I thought it was announced as DIGITS already? Or is this something else?

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When NVIDIA CEO Jensen Huang presented the DGX Spark, then he recalled how, back in 2016, he unveiled the world’s first AI supercomputer, the DGX-1, and how Elon Musk, then at OpenAI, became its first customer. The DGX Spark is far more advanced, delivering five times the computational power of the DGX-1.
1:58

When NVIDIA CEO Jensen Huang presented the DGX Spark, then he recalled how, back in 2016, he unveiled the world’s first AI supercomputer, the DGX-1, and how Elon Musk, then at OpenAI, became its first customer. The DGX Spark is far more advanced, delivering five times the computational power of the DGX-1.

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RIP CPU-based AI supercomputers? NVIDIA just announced DGX GH200, an AI supercomputer that combines whooping 256 Grace CPUs & Hopper GPUs in the same package with 144 Terabytes of shared memory! Here's the breakdown
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RIP CPU-based AI supercomputers? NVIDIA just announced DGX GH200, an AI supercomputer that combines whooping 256 Grace CPUs & Hopper GPUs in the same package with 144 Terabytes of shared memory! Here's the breakdown

Min Choi

769,111 Aufrufe • vor 3 Jahren

From rockets to AI. Nine years after the original NVIDIA DGX-1 handoff, Jensen Huang delivered a brand-new DGX Spark to Elon Musk at Starbase. 🚀✨ The DGX Spark is a petaflop powerhouse built for creators, researchers, and developers — a desktop-sized supercomputer with five times the performance of the first DGX-1. Filmed at SpaceX’s rocket factory in Texas, this moment captures a conversation between the two visionariesI. ➡️ 📹 #SparkSomethingBig
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From rockets to AI. Nine years after the original NVIDIA DGX-1 handoff, Jensen Huang delivered a brand-new DGX Spark to Elon Musk at Starbase. 🚀✨ The DGX Spark is a petaflop powerhouse built for creators, researchers, and developers — a desktop-sized supercomputer with five times the performance of the first DGX-1. Filmed at SpaceX’s rocket factory in Texas, this moment captures a conversation between the two visionariesI. ➡️ 📹 #SparkSomethingBig

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2,992,480 Aufrufe • vor 8 Monaten

8. DGX Spark = personal AI supercomputer Imagine training your own LLM at your desk. DGX Spark is the dev-friendly AI rig built for workstation scale. → Shipping via ASUS, Dell, MSI → Trains large models locally → No server farm needed
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8. DGX Spark = personal AI supercomputer Imagine training your own LLM at your desk. DGX Spark is the dev-friendly AI rig built for workstation scale. → Shipping via ASUS, Dell, MSI → Trains large models locally → No server farm needed

Shruti

35,907 Aufrufe • vor 1 Jahr

Unsloth AI and NVIDIA are Revolutionizing Local LLM Fine-Tuning: From RTX Desktops to DGX Spark Fine-tune popular AI models faster with Unsloth on NVIDIA RTX AI PCs such as GeForce RTX desktops and laptops to RTX PRO workstations and the new DGX Spark to build personalized assistants for coding, creative work, and complex agentic workflows. The landscape of modern AI is shifting. We are moving away from a total reliance on massive, generalized cloud models and entering the era of local, agentic AI. Whether it is tuning a chatbot to handle hyper-specific product support or building a personal assistant that manages intricate schedules, the potential for generative AI on local hardware is boundless. However, developers face a persistent bottleneck: How do you get a Small Language Model (SLM) to punch above its weight class and respond with high accuracy for specialized tasks? The answer is Fine-Tuning, and the tool of choice is Unsloth. Unsloth provides an easy and high-speed method to customize models. Optimized for efficient, low-memory training on NVIDIA GPUs, Unsloth scales effortlessly from GeForce RTX desktops and laptop all the way to the DGX Spark, the world’s smallest AI supercomputer...... Full analysis: NVIDIA NVIDIA AI NVIDIA AIDev NVIDIAnewsroom Unsloth AI Unsloth
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Unsloth AI and NVIDIA are Revolutionizing Local LLM Fine-Tuning: From RTX Desktops to DGX Spark Fine-tune popular AI models faster with Unsloth on NVIDIA RTX AI PCs such as GeForce RTX desktops and laptops to RTX PRO workstations and the new DGX Spark to build personalized assistants for coding, creative work, and complex agentic workflows. The landscape of modern AI is shifting. We are moving away from a total reliance on massive, generalized cloud models and entering the era of local, agentic AI. Whether it is tuning a chatbot to handle hyper-specific product support or building a personal assistant that manages intricate schedules, the potential for generative AI on local hardware is boundless. However, developers face a persistent bottleneck: How do you get a Small Language Model (SLM) to punch above its weight class and respond with high accuracy for specialized tasks? The answer is Fine-Tuning, and the tool of choice is Unsloth. Unsloth provides an easy and high-speed method to customize models. Optimized for efficient, low-memory training on NVIDIA GPUs, Unsloth scales effortlessly from GeForce RTX desktops and laptop all the way to the DGX Spark, the world’s smallest AI supercomputer...... Full analysis: NVIDIA NVIDIA AI NVIDIA AIDev NVIDIAnewsroom Unsloth AI Unsloth

Marktechpost AI Dev News ⚡

31,551 Aufrufe • vor 6 Monaten

In 2016, Jensen Huang hand-delivered the world’s first AI supercomputer to a startup in San Francisco called OpenAI. The culmination of a decade of work from thousands of NVIDIA engineers, DGX-1 set the stage for a new industrial revolution.
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In 2016, Jensen Huang hand-delivered the world’s first AI supercomputer to a startup in San Francisco called OpenAI. The culmination of a decade of work from thousands of NVIDIA engineers, DGX-1 set the stage for a new industrial revolution.

NVIDIA

61,439 Aufrufe • vor 11 Monaten

🔬 Fold proteomes privately, no queues, no bottlenecks Bring protein structure prediction to your desktop. Powered by the GB10 Grace Blackwell Superchip, our new NVIDIA DGX Spark will deliver: ⚡ 1 petaFLOP of AI performance 🧠 128 GB coherent unified system memory It’s more than a workstation - it’s a personal AI supercomputer for digital biology. Get ready to #SparkSomethingBig.
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🔬 Fold proteomes privately, no queues, no bottlenecks Bring protein structure prediction to your desktop. Powered by the GB10 Grace Blackwell Superchip, our new NVIDIA DGX Spark will deliver: ⚡ 1 petaFLOP of AI performance 🧠 128 GB coherent unified system memory It’s more than a workstation - it’s a personal AI supercomputer for digital biology. Get ready to #SparkSomethingBig.

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12,737 Aufrufe • vor 9 Monaten

Here's your weekend project. Build a fully local, sandboxed AI assistant. Step-by-step tutorial to build your always-on agent: 🦞 on OpenClaw🦞 ✅ with NVIDIA NemoClaw ✨ using NVIDIA DGX Spark Get started:
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Here's your weekend project. Build a fully local, sandboxed AI assistant. Step-by-step tutorial to build your always-on agent: 🦞 on OpenClaw🦞 ✅ with NVIDIA NemoClaw ✨ using NVIDIA DGX Spark Get started:

NVIDIA AI Developer

41,376 Aufrufe • vor 2 Monaten

This is where it all started. 🚀 Ten years ago at #NVIDIAGTC, the journey of #NVIDIADGX began with our CEO Jensen Huang's announcement of DGX-1, the world’s first AI supercomputer. What started as a single system has since evolved into the universal blueprint for modern AI factories. Relive this momentous beginning and explore where the next decade of AI discovery will take us. Add DGX sessions to your GTC schedule now: #DecadeOfDGX
2:42

This is where it all started. 🚀 Ten years ago at #NVIDIAGTC, the journey of #NVIDIADGX began with our CEO Jensen Huang's announcement of DGX-1, the world’s first AI supercomputer. What started as a single system has since evolved into the universal blueprint for modern AI factories. Relive this momentous beginning and explore where the next decade of AI discovery will take us. Add DGX sessions to your GTC schedule now: #DecadeOfDGX

NVIDIA

32,824 Aufrufe • vor 3 Monaten

Super cool to see Jensen NVIDIA showcasing Reachy Mini at his #CES26 keynote. Paired with a DGX Spark & Brev, it can make the perfect local home AI robotics setup!
0:20

Super cool to see Jensen NVIDIA showcasing Reachy Mini at his #CES26 keynote. Paired with a DGX Spark & Brev, it can make the perfect local home AI robotics setup!

clem 🤗

75,499 Aufrufe • vor 5 Monaten

Jensen Huang hand-delivers the new NVIDIA DGX Spark to Elon Musk at Starbase 2016: Jensen hand-delivered the first DGX-1 to Elon at OpenAI Now: Nearly a decade later, he’s delivering the next generation at Starbase • DGX-1 (2016): 3,000 Watts • DGX Spark (2025): 40 Watts
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Jensen Huang hand-delivers the new NVIDIA DGX Spark to Elon Musk at Starbase 2016: Jensen hand-delivered the first DGX-1 to Elon at OpenAI Now: Nearly a decade later, he’s delivering the next generation at Starbase • DGX-1 (2016): 3,000 Watts • DGX Spark (2025): 40 Watts

X Freeze

20,547 Aufrufe • vor 5 Monaten

DGX Spark is here!! My so not unboxing video because I am not a fancy youtuber lol. Just organic me loving tech. NVIDIA AI Developer Micro Center
1:19

DGX Spark is here!! My so not unboxing video because I am not a fancy youtuber lol. Just organic me loving tech. NVIDIA AI Developer Micro Center

Joey

51,282 Aufrufe • vor 2 Monaten

Did you know Qwen 3.6 35B NVFP4 with 256k context, MTP, kv cache fp16 & image support takes around 68gb of VRAM? My NVIDIA AI DGX Spark can do 110 tok/s 👇
0:31

Did you know Qwen 3.6 35B NVFP4 with 256k context, MTP, kv cache fp16 & image support takes around 68gb of VRAM? My NVIDIA AI DGX Spark can do 110 tok/s 👇

Mia

24,387 Aufrufe • vor 9 Tagen

image → 3D generation. a prompt is gently refined with Nemotron → FLUX paints a reference image → TRELLIS reconstructs a textured 3D mesh, running locally on an NVIDIA AI DGX Spark. quiet, local, always on.
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image → 3D generation. a prompt is gently refined with Nemotron → FLUX paints a reference image → TRELLIS reconstructs a textured 3D mesh, running locally on an NVIDIA AI DGX Spark. quiet, local, always on.

three.ws

32,635 Aufrufe • vor 5 Tagen

AI Homelab’imde son durum; - Mac Studio M3 Ultra 512GB sattım. - Yerine RTX Pro 6000 96GB WS aldım. - Macbook’umu yükletip M5 Max 64GB’e geçtim. - 6x Mac mini M4 + 4x Mac mini M2 ile devam - 2x Nvidia DGX Spark 128GB ile devam bir süpriz gelebilir 🔥 - 2x RTX 5090 32GB ile devam
2:02

AI Homelab’imde son durum; - Mac Studio M3 Ultra 512GB sattım. - Yerine RTX Pro 6000 96GB WS aldım. - Macbook’umu yükletip M5 Max 64GB’e geçtim. - 6x Mac mini M4 + 4x Mac mini M2 ile devam - 2x Nvidia DGX Spark 128GB ile devam bir süpriz gelebilir 🔥 - 2x RTX 5090 32GB ile devam

Alican Kiraz

87,385 Aufrufe • vor 1 Monat

CHINESE DEVELOPER JUST DROPPED A FULL 8-MINUTE SETUP GUIDE FOR THE NVIDIA DGX SPARK - AND SHOWED EXACTLY HOW TO RUN AI AGENTS AND ROBOTICS SIMULATIONS ON IT he unboxed the DGX Spark on camera - plugged in power, keyboard and ethernet and was inside the system within minutes then showed how to install iSECSIM 5.1 for virtual simulations, cloned the repo from GitHub, configured GCC 11 and built the entire stack from scratch 128GB of available memory, ARM processor, full Python library support and a complete AI development environment - all on a box the size of a paperback book at the end he launched a robotics environment and showed the DGX Spark handling full physics simulations in real time from unboxing to running agents in under 8 minutes - full guide on camera
8:07

CHINESE DEVELOPER JUST DROPPED A FULL 8-MINUTE SETUP GUIDE FOR THE NVIDIA DGX SPARK - AND SHOWED EXACTLY HOW TO RUN AI AGENTS AND ROBOTICS SIMULATIONS ON IT he unboxed the DGX Spark on camera - plugged in power, keyboard and ethernet and was inside the system within minutes then showed how to install iSECSIM 5.1 for virtual simulations, cloned the repo from GitHub, configured GCC 11 and built the entire stack from scratch 128GB of available memory, ARM processor, full Python library support and a complete AI development environment - all on a box the size of a paperback book at the end he launched a robotics environment and showed the DGX Spark handling full physics simulations in real time from unboxing to running agents in under 8 minutes - full guide on camera

Sprytix

57,210 Aufrufe • vor 27 Tagen

When Jensen Huang hand-delivered the DGX Spark to Elon Musk, the NVIDIA CEO stayed afterward to watch Starship Flight 11.
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When Jensen Huang hand-delivered the DGX Spark to Elon Musk, the NVIDIA CEO stayed afterward to watch Starship Flight 11.

SMX 🇺🇸

833,275 Aufrufe • vor 7 Monaten

Big day for Windows with Microsoft and NVIDIA announcing the next generation of Windows PCs powered by NVIDIA RTX Spark. These devices bring together performance, efficiency, graphics, and on-device AI in thin-and-light designs that make powerful experiences feel faster. RTX Spark delivers 1 petaflop of AI performance, industry-leading performance-per-watt, full stack NVIDIA AI and RTX graphics technology, and up to 128GB of unified memory. And the new Surface Laptop Ultra shows what happens when that power is thoughtfully applied. Creators and developers can move faster, push further, and build richer experiences locally on Windows, without compromise.
0:51

Big day for Windows with Microsoft and NVIDIA announcing the next generation of Windows PCs powered by NVIDIA RTX Spark. These devices bring together performance, efficiency, graphics, and on-device AI in thin-and-light designs that make powerful experiences feel faster. RTX Spark delivers 1 petaflop of AI performance, industry-leading performance-per-watt, full stack NVIDIA AI and RTX graphics technology, and up to 128GB of unified memory. And the new Surface Laptop Ultra shows what happens when that power is thoughtfully applied. Creators and developers can move faster, push further, and build richer experiences locally on Windows, without compromise.

Yusuf Mehdi

14,487 Aufrufe • vor 28 Tagen

DGX Spark giveaway.
0:31

DGX Spark giveaway.

Alex Ziskind

20,790 Aufrufe • vor 3 Monaten