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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..

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el.cine

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3,177,466 Aufrufe • vor 1 Jahr •via X (Twitter)

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el.cinevor 1 Jahr

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Profilbild von The Rundown AI
The Rundown AIvor 2 Jahren

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).

Profilbild von Calibrate | PET LIGER
Calibrate | PET LIGERvor 1 Jahr

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

Profilbild von el.cine
el.cinevor 1 Jahr

🤣

Profilbild von The Universal Soldier
The Universal Soldiervor 1 Jahr

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

Profilbild von el.cine
el.cinevor 1 Jahr

Open source is the future

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Julian Boycevor 1 Jahr

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

Profilbild von el.cine
el.cinevor 1 Jahr

Yes create our own agent and run locally

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Distractospherevor 1 Jahr

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

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el.cinevor 1 Jahr

😳

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Leo Grundströmvor 1 Jahr

How many browser tabs could I open with this?

Profilbild von el.cine
el.cinevor 1 Jahr

🤣🤣 i usually open 30+

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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.
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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

236,557 Aufrufe • vor 1 Jahr

4/ NVIDIA announced Project Digits: a $3,000 personal AI supercomputer. All of NVIDIA's software runs on this.
0:59

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

Poonam Soni

547,606 Aufrufe • vor 1 Jahr

NVIDIA JUST SHOWED HOW A $4,699 BOX CAN KILL A $200 MONTHLY AI BILL AND RUN 200B MODELS FROM YOUR DESK. 00:02 NVIDIA delivers the DGX Spark to developers, researchers, and AI teams, turning what used to require rented datacenter GPUs into a box small enough to hold in one hand. inside is 128GB of unified memory, 4TB of storage, and up to 1 PFLOP of AI compute, enough to run 70B models comfortably and push into the 200B class locally. that means no per-token API bill, no files leaving your machine, and no waiting for someone else’s server every time an agent reads documents, writes code, or runs an automation. two DGX Sparks can even be linked together for models around 400B parameters, while a single unit costs roughly $4,000 to $4,700 instead of renting multi-GPU cloud infrastructure every month. the full local AI ladder starts at $0 with the computer you already own, but NVIDIA just showed what the final rung looks like: a personal AI supercomputer sitting directly on your desk.
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NVIDIA JUST SHOWED HOW A $4,699 BOX CAN KILL A $200 MONTHLY AI BILL AND RUN 200B MODELS FROM YOUR DESK. 00:02 NVIDIA delivers the DGX Spark to developers, researchers, and AI teams, turning what used to require rented datacenter GPUs into a box small enough to hold in one hand. inside is 128GB of unified memory, 4TB of storage, and up to 1 PFLOP of AI compute, enough to run 70B models comfortably and push into the 200B class locally. that means no per-token API bill, no files leaving your machine, and no waiting for someone else’s server every time an agent reads documents, writes code, or runs an automation. two DGX Sparks can even be linked together for models around 400B parameters, while a single unit costs roughly $4,000 to $4,700 instead of renting multi-GPU cloud infrastructure every month. the full local AI ladder starts at $0 with the computer you already own, but NVIDIA just showed what the final rung looks like: a personal AI supercomputer sitting directly on your desk.

Gipp 🦅

11,334 Aufrufe • vor 16 Tagen

Apple CEO : "Apple just made the Mac Mini small enough to disappear on your desk, but powerful enough to become your AI workstation." The new M4 Mac Mini starts at $599, comes with Apple Silicon, and pushes desktop compute into a box most people could hide behind a monitor. It is the next cheap entry point for local AI, automation, coding, content, and private workflows. Mac Mini + M4 + local models + low power = the new desk setup. Worth more than another $500 productivity course.
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Apple CEO : "Apple just made the Mac Mini small enough to disappear on your desk, but powerful enough to become your AI workstation." The new M4 Mac Mini starts at $599, comes with Apple Silicon, and pushes desktop compute into a box most people could hide behind a monitor. It is the next cheap entry point for local AI, automation, coding, content, and private workflows. Mac Mini + M4 + local models + low power = the new desk setup. Worth more than another $500 productivity course.

Lummox

262,119 Aufrufe • vor 1 Monat

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.
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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

93,436 Aufrufe • vor 2 Monaten

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:
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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 Aufrufe • vor 4 Monaten

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
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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

151,966 Aufrufe • vor 1 Monat

🇺🇸 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
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🇺🇸 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

85,066 Aufrufe • vor 1 Jahr

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
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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

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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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First hands-on with Microsoft’s new Surface Laptop Ultra. Microsoft is clearly positioning this as a new class of creator and AI laptop, powered by new NVIDIA silicon with an RTX GPU built for local AI, creative workflows, and gaming. A few standout specs: -New NVIDIA chip with RTX GPU -Up to 1 petaflop of AI compute -Up to 128GB unified memory -15-inch mini-LED PixelSense Ultra touchscreen -3:2 aspect ratio -262 PPI -Up to 2,000 nits peak HDR brightness -Less than 18mm thick
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First hands-on with Microsoft’s new Surface Laptop Ultra. Microsoft is clearly positioning this as a new class of creator and AI laptop, powered by new NVIDIA silicon with an RTX GPU built for local AI, creative workflows, and gaming. A few standout specs: -New NVIDIA chip with RTX GPU -Up to 1 petaflop of AI compute -Up to 128GB unified memory -15-inch mini-LED PixelSense Ultra touchscreen -3:2 aspect ratio -262 PPI -Up to 2,000 nits peak HDR brightness -Less than 18mm thick

Chubby♨️

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This Changes Everything. Google Edge Gallery is a MUST for every smartphone, this is a straight up lifesaver. Imagine you’re on a trip, no internet, completely different language, trying to eat something but the packaging makes zero sense… and your phone just handles it instantly. And that’s just a SMALL example of on-device AI running locally without internet… this is insane.

TechDroider

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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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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

Kris Kashtanova

50,879 Aufrufe • vor 3 Jahren

🇸🇦 SAUDI ARABIA GOES SUPERCOMPUTER: NVIDIA DEAL TO BUILD AI MEGASCALE Saudi Arabia partnership with Nvidia to build one of the world’s largest AI infrastructures is a monumental step in the proliferation of Artificial Intelligence. The Kingdom will deploy 18,000 Nvidia GB300 superchips in Phase 1, aiming for 500 megawatts of compute power within five years. This move will undoubtedly position Saudi Arabia as a regional AI hub amid a global race for computing supremacy. It will support sovereign AI models and digital twin simulations across industries. As Vision 2030 shifts the Kingdom beyond oil, AI is now its new strategic resource—and it's going all in. Source: AI Magazine
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THE NEXT AI WORKER MAY COST $500 AND SIT BEHIND YOUR MONITOR. Mini PCs are becoming the cheapest path to private AI. A Mac Mini M4 starts at $599, Geekom AX8 Pro starts near $529, and MinisForum pushes up to 128GB RAM for local AI workloads. Ollama turns that hardware into a personal model server. No cloud fee. No data storage bill. No waiting for another SaaS product to decide your limits. Market shift is simple -> computer is moving back to the desk. Owning a mini PC is starting to look less like buying hardware and more like hiring a quiet AI operator.

Lummox

394,268 Aufrufe • vor 1 Monat

This white box on your house wall makes $3,000 a month from Nvidia A white panel the size of a small box bolts right onto your wall. Inside it runs Nvidia AI workloads 24/7. Nvidia teamed up with Pultegroup and SPAN to install these in brand new homes. The box processes AI tasks for companies remotely. Nvidia pays you a flat $3,000 a month just for having it on your wall. You do nothing. It just runs. That is $36,000 a year from a box you never touch. Thousands of new homes are being built with this already baked in. Your house becomes part of the AI infrastructure without you lifting a finger. The suburbs are turning into the new data centers. And the people living there are getting paid for it. Save this before your neighbor signs up before you do.
1:37

This white box on your house wall makes $3,000 a month from Nvidia A white panel the size of a small box bolts right onto your wall. Inside it runs Nvidia AI workloads 24/7. Nvidia teamed up with Pultegroup and SPAN to install these in brand new homes. The box processes AI tasks for companies remotely. Nvidia pays you a flat $3,000 a month just for having it on your wall. You do nothing. It just runs. That is $36,000 a year from a box you never touch. Thousands of new homes are being built with this already baked in. Your house becomes part of the AI infrastructure without you lifting a finger. The suburbs are turning into the new data centers. And the people living there are getting paid for it. Save this before your neighbor signs up before you do.

winkle.

44,059 Aufrufe • vor 2 Monaten