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what?? NVIDIA just dropped Project DIGITS, a $3,000 personal AI supercomputer that’s small enough to look like a Mac Mini but packs 1,000x the power of your average laptop. Handles AI models with up to 200 BILLION parameters. This is incredible..

el.cine

132,872 subscribers

3,176,841 次观看 • 1 年前 •via X (Twitter)

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el.cine 的头像

el.cine1 年前

Read more

The Rundown AI 的头像

The Rundown AI2 年前

If you're not learning AI in 2024, you're falling behind. Join 500,000+ readers and learn how to use AI in just 5 minutes a day (for free).

Calibrate | PET LIGER 的头像

Calibrate | PET LIGER1 年前

That jacket is 1,000x the power of your average laptop.

el.cine 的头像

el.cine1 年前

🤣

The Universal Soldier 的头像

The Universal Soldier1 年前

Every company in the world will want one.. running GPT level AI locally and privately is what every business needs right now

el.cine 的头像

el.cine1 年前

Open source is the future

Julian Boyce 的头像

Julian Boyce1 年前

This is great for setting up on-premise AI solutions for small/medium sized businesses handling sensitive data namely 1. Legal 2. Health 3. Financial/Tax Services

el.cine 的头像

el.cine1 年前

Yes create our own agent and run locally

Distractosphere 的头像

Distractosphere1 年前

"two Project DIGITS AI supercomputers can be linked to run up to 405-billion-parameter models."

el.cine 的头像

el.cine1 年前

😳

Leo Grundström 的头像

Leo Grundström1 年前

How many browser tabs could I open with this?

el.cine 的头像

el.cine1 年前

🤣🤣 i usually open 30+

相关视频

1. Project Digits: NVIDIA's Latest AI Supercomputer Introduces an exciting breakthrough with the new NVIDIA GB10 Superchip, offering a compact AI supercomputer that efficiently handles 200B-parameter models. NVIDIA’s Project DIGITS is a powerhouse you can hold in the palm of your hand. With two Project DIGITS units, developers can easily work with AI models up to 405B parameters in size. Available by May.

1. Project Digits: NVIDIA's Latest AI Supercomputer Introduces an exciting breakthrough with the new NVIDIA GB10 Superchip, offering a compact AI supercomputer that efficiently handles 200B-parameter models. NVIDIA’s Project DIGITS is a powerhouse you can hold in the palm of your hand. With two Project DIGITS units, developers can easily work with AI models up to 405B parameters in size. Available by May.

Shruti

236,540 次观看 • 1 年前

4/ NVIDIA announced Project Digits: a $3,000 personal AI supercomputer. All of NVIDIA's software runs on this.

4/ NVIDIA announced Project Digits: a $3,000 personal AI supercomputer. All of NVIDIA's software runs on this.

Poonam Soni

547,494 次观看 • 1 年前

Introducing the NVIDIA Project DIGITS personal AI supercomputer, powered by the GB10 Grace Blackwell Superchip: Project DIGITS enables developers to prototype, fine-tune and inference models locally and seamlessly deploy at scale to the data center or cloud. #CES2025 #NVIDIAGraceBlackwell

Introducing the NVIDIA Project DIGITS personal AI supercomputer, powered by the GB10 Grace Blackwell Superchip: Project DIGITS enables developers to prototype, fine-tune and inference models locally and seamlessly deploy at scale to the data center or cloud. #CES2025 #NVIDIAGraceBlackwell

NVIDIA

51,983 次观看 • 1 年前

NEW: Microsoft just unveiled its most powerful Surface ever. Surface Laptop Ultra is a 15-inch NVIDIA-powered laptop built to run local AI models, creative work, and gaming. • NVIDIA RTX Spark chip with up to 20 Arm CPU cores • Blackwell GPU with 6,144 CUDA cores • Up to 128GB unified memory • Runs up to 120B parameter AI models locally • 15-inch mini-LED display with 2,000 nits peak brightness • Dual-fan cooling with 2.5x the thermal capacity of Surface Laptop 7 This could be a serious AI workstation.

NEW: Microsoft just unveiled its most powerful Surface ever. Surface Laptop Ultra is a 15-inch NVIDIA-powered laptop built to run local AI models, creative work, and gaming. • NVIDIA RTX Spark chip with up to 20 Arm CPU cores • Blackwell GPU with 6,144 CUDA cores • Up to 128GB unified memory • Runs up to 120B parameter AI models locally • 15-inch mini-LED display with 2,000 nits peak brightness • Dual-fan cooling with 2.5x the thermal capacity of Surface Laptop 7 This could be a serious AI workstation.

Ritwik Pavan

93,262 次观看 • 26 天前

Perplexity just launched "Personal Computer", an always-on AI agent that merges their cloud-based Computer system with a Mac Mini. It accesses local files, apps, and sessions, orchestrates 19+ AI models, and can run 24/7. The Mac Mini continues to have its AI moment:

Perplexity just launched "Personal Computer", an always-on AI agent that merges their cloud-based Computer system with a Mac Mini. It accesses local files, apps, and sessions, orchestrates 19+ AI models, and can run 24/7. The Mac Mini continues to have its AI moment:

The Rundown AI

20,847 次观看 • 3 个月前

AMD on local AI: "this is the smallest AI development system in the world, capable of running models up to 200 billion parameters locally, not connected to anything" 128GB of unified memory shared by CPU, GPU, and NPU fits in your hand. Runs a model larger than GPT-3 with no internet $3,999 once. roughly $16 a month in power Cloud equivalent: up to $750 a month The question was never whether local AI could compete on power It was whether it could compete on price. Now it does

AMD on local AI: "this is the smallest AI development system in the world, capable of running models up to 200 billion parameters locally, not connected to anything" 128GB of unified memory shared by CPU, GPU, and NPU fits in your hand. Runs a model larger than GPT-3 with no internet $3,999 once. roughly $16 a month in power Cloud equivalent: up to $750 a month The question was never whether local AI could compete on power It was whether it could compete on price. Now it does

plutos

151,850 次观看 • 12 天前

🇺🇸 ELON “BUILT THE WORLD’S FASTEST AI SUPERCOMPUTER IN 19 DAYS” NVIDIA CEO Jensen Huang: “Just to put in perspective, 100,000 GPUs – that’s easily the fastest supercomputer on the planet. A supercomputer like that usually takes three years to plan, one year to get working. We’re talking about nineteen days. The planning with our engineering team, all of the infrastructure, all of the logistics… nineteen days. Incredible.” Source: Elon Musk

🇺🇸 ELON “BUILT THE WORLD’S FASTEST AI SUPERCOMPUTER IN 19 DAYS” NVIDIA CEO Jensen Huang: “Just to put in perspective, 100,000 GPUs – that’s easily the fastest supercomputer on the planet. A supercomputer like that usually takes three years to plan, one year to get working. We’re talking about nineteen days. The planning with our engineering team, all of the infrastructure, all of the logistics… nineteen days. Incredible.” Source: Elon Musk

Mario Nawfal

84,999 次观看 • 10 个月前

This guy plugged a DGX Spark (the $3K Nvidia box) and a Mac Mini M4 together to run AI and what happened next surprised everyone > the Nvidia box handles the hard part - processing your prompt in milliseconds > Mac Mini M4 handles the fast part - generating the response at memory bandwidth speeds nothing else can match > together they hit 84 tokens per second on Llama - 6x faster than the Spark alone > running compute agents locally on this setup means your data never leaves your hardware > two boxes. two different architectures. one AI system that Deepseek runs at data center scale he ran it on his desk save this. the way we build local AI is about to change

This guy plugged a DGX Spark (the $3K Nvidia box) and a Mac Mini M4 together to run AI and what happened next surprised everyone > the Nvidia box handles the hard part - processing your prompt in milliseconds > Mac Mini M4 handles the fast part - generating the response at memory bandwidth speeds nothing else can match > together they hit 84 tokens per second on Llama - 6x faster than the Spark alone > running compute agents locally on this setup means your data never leaves your hardware > two boxes. two different architectures. one AI system that Deepseek runs at data center scale he ran it on his desk save this. the way we build local AI is about to change

Mr. Buzzoni

153,102 次观看 • 28 天前

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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

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NVIDIA is making it possible to speak with your voice to the AI characters of the game you're playing. It may look like picking from a NPC dialogue tree but the impressive part of this demo is that the generative AI is reacting to natural speech. Watch the full video (with sound) here: Source: The Verge

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50,879 次观看 • 3 年前

Introducing Project Ceiba, a groundbreaking collaboration between #AWS and @NVIDIA, that aims to push the boundaries of #AI by constructing the largest AI supercomputer in the cloud. ☁️ ⚙️ 💻 Learn more. ➡️

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