78% of NVIDIA employees are millionaires with 50% having a net worth over $25 million due to getting paid in company equity.

[IIVI]

Happy Engineers are innovative engineers.

These guys are producing ACTUAL results.

What this means: the current fastest graphics card in the world today (priced at $1599) is as fast as the cheapest ($549) version of these new cards. What a breakthrough.

 

[Raw Lyrics]

The only way to get out of corporate slavery is to invest in companies like this before they blow. I am sitting on 1200 palantir shares, if it goes on nvidia like run

My muthafukkin boy told me about Palantir last year!!!! When it was at 16 dollars share. I checked the price last week...almost caught a stroke!!!!!!

 

[Apollo Creed]

My muthafukkin boy told me about Palantir last year!!!! When it was at 16 dollars share. I checked the price last week...almost caught a stroke!!!!!!

 

[ViShawn]

I was super impressed with the NVIDIA CES Keynote

 

[IIVI]

Basically.

Meanwhile all these other pure software companies expect you to actually work in an office?

NVIDIA changing the world with a large remote work force and your company that makes nothing even closely comparable wants you in a chair at 9AM.

 

[bnew]

Nvidia announces $3,000 personal AI supercomputer called Digits

It’s the size of a desktop.

www.theverge.com

Nvidia announces $3,000 personal AI supercomputer called Digits​

This desktop-sized system can handle AI models with up to 200 billion parameters.​

By Kylie Robison, a senior AI reporter working with The Verge's policy and tech teams. She previously worked at Fortune Magazine and Business Insider.
Jan 6, 2025, 11:11 PM EST

Nvidia CEO Jensen Huang holding the Project Digits computer on stage at Nvidia’s CES 2025 press conference. Image: Nvidia

If you were looking for your own personal AI supercomputer, Nvidia has you covered.

The chipmaker announced at CES it’s launching a personal AI supercomputer called Project Digits in May. The heart of Project Digits is the new GB10 Grace Blackwell Superchip, which packs enough processing power to run sophisticated AI models while being compact enough to fit on a desk and run from a standard power outlet (this kind of processing power used to require much larger, more power-hungry systems). This desktop-sized system can handle AI models with up to 200 billion parameters, and has a starting price of $3,000. The product itself looks a lot like a Mac Mini.
“AI will be mainstream in every application for every industry. With Project Digits, the Grace Blackwell Superchip comes to millions of developers,” Nvidia CEO Jensen Huang said in a press release. “Placing an AI supercomputer on the desks of every data scientist, AI researcher and student empowers them to engage and shape the age of AI.”

Project Digits looks like a mini PC. Image: Nvidia

Each Project Digits system comes equipped with 128GB of unified, coherent memory (by comparison, a good laptop might have 16GB or 32GB of RAM) and up to 4TB of NVMe storage. For even more demanding applications, two Project Digits systems can be linked together to handle models with up to 405 billion parameters (Meta’s best model, Llama 3.1, has 405 billion parameters).

The GB10 chip delivers up to 1 petaflop of AI performance (which means it can perform 1 quadrillion AI calculations per second) at FP4 precision (which helps make the calculations faster by making approximations), and the system features Nvidia’s latest-generation CUDA cores and fifth-generation Tensor Cores, connected via NVLink-C2C to a Grace CPU containing 20 power-efficient Arm-based cores. MediaTek, known for their Arm-based chip designs, collaborated on the GB10’s development to optimize its power efficiency and performance.

The Digits supercomputer specs. Image: Nvidia

Users will also get access to Nvidia’s AI software library, including development kits, orchestration tools, and pre-trained models available through the Nvidia NGC catalog. The system runs on Linux-based Nvidia DGX OS and supports popular frameworks like PyTorch, Python, and Jupyter notebooks. Developers can fine-tune models using the Nvidia NeMo framework and accelerate data science workflows with Nvidia RAPIDS libraries.

Users can develop and test their AI models locally on Project Digits, then deploy them to cloud services or data center infrastructure using the same Grace Blackwell architecture and Nvidia AI Enterprise software platform.

Nvidia offers a range of similar devices in the same accessibility style — in December, it announced a $249 version of its Jetson computer for AI applications, targeting hobbyists and startups, called the Jetson Orin Nano Super (it handles models up to 8 billion parameters).

 

[bnew]

Spoiler: full text & large images

1/1
JUST IN: Nvidia /search?q=#NVDA officially unveils new RTX Blackwell series, including RTX 5090, the world's fastest GPU.


https://video.twimg.com/amplify_video/1876470940223098880/vid/avc1/1920x1080/31vQ0CaSTs5Qg7lN.mp4


To post tweets in this format, more info here: https://www.thecoli.com/threads/tips-and-tricks-for-posting-the-coli-megathread.984734/post-52211196

 

[bnew]

Spoiler: thread continued

Spoiler: full text & large images

1/38
@heyshrutimishra
NVIDIA just shook the AI world at /search?q=#CES2025!

NVIDIA CEO Jensen Huang JUST announced jaw-dropping breakthroughs.

Here are the top 15 key highlights you can’t afford to miss: (wait till you see #15):

2/38
@heyshrutimishra
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.



https://video.twimg.com/amplify_video/1876501314362077184/vid/avc1/960x720/ibhYA5omxXyK6DBN.mp4

3/38
@heyshrutimishra
2. NVIDIA Enhances Three Computer Solution for Autonomous Mobility
With Cosmos World Foundation Models.

By integrating Cosmos into its three-computer solution, NVIDIA empowers developers with a data flywheel that transforms thousands of real-world miles into billions of virtual ones, significantly boosting training data quality.



https://video.twimg.com/amplify_video/1876501392510324736/vid/avc1/960x720/_OnJbU0mBpn-U9kb.mp4

4/38
@heyshrutimishra
3. NVIDIA Blueprint for Video Search and Summarization

The innovative NVIDIA AI Blueprint for video search and summarization offers dynamic AI features like chain-of-thought reasoning, task planning, and tool calling. These capabilities empower developers to efficiently create powerful and versatile visual agents, addressing a wide array of challenges.

5/38
@heyshrutimishra
4. Aurora and Continental are deploying driverless trucks at scale, powered by NVIDIA DRIVE

6/38
@heyshrutimishra
5. DRIVE Thor

NVIDIA DRIVE Thor is an advanced computer designed to enhance the safety and security of autonomous vehicles, built on the cutting-edge NVIDIA Blackwell architecture.

7/38
@heyshrutimishra
6. DRIVE Orin

NVIDIA DRIVE Orin, the top car computer, enhances production with 254 trillion operations per second for safe, real-time driving decisions.

2025—NVIDIA proudly announced today that Toyota, Aurora, and Continental have joined the esteemed list of global mobility leaders actively developing and building their consumer and commercial vehicle fleets using NVIDIA's accelerated computing and AI.

8/38
@heyshrutimishra
7. DRIVE Hyperion

NVIDIA DRIVE AGX Hyperion is a comprehensive autonomous driving development platform, empowering the creation of next-generation passenger and commercial vehicles.

9/38
@heyshrutimishra
8. NVIDIA Blueprints for Agentic AI empower developers to create and deploy custom AI agents that excel in reasoning, planning, and taking action.

These innovative blueprints feature NVIDIA NIM microservices, NVIDIA NeMo, and agentic AI frameworks from leading providers.



https://video.twimg.com/amplify_video/1876501544356737024/vid/avc1/960x720/I18thwiMNBOHjwZc.mp4

10/38
@heyshrutimishra
9. “The ChatGPT moment for robotics is coming. Like large language models, world foundation models are fundamental to advancing robot and AV development, yet not all developers have the expertise and resources to train their own,” said Jensen Huang, founder and CEO of NVIDIA.

“We created Cosmos to democratize physical AI and put general robotics in reach of every developer., he said".



https://video.twimg.com/amplify_video/1876501634182004736/vid/avc1/960x720/1mGZQaEIJ3JhxJB2.mp4

11/38
@heyshrutimishra
10. NVIDIA Isaac GR00T Blueprint for Humanoid Robotics Development

NVIDIA Isaac GR00T empowers you to capture valuable data from human demonstrations, enhancing the training of robot policies.

12/38
@heyshrutimishra
11. NVIDIA ‘Mega’ Omniverse Blueprint

NVIDIA Omniverse simulates facilities for developing, testing, and optimizing large robot fleets in a digital twin, boosting real-world readiness.

“Physical AI will revolutionize the $50 trillion manufacturing and logistics industries. Everything that moves — from cars and trucks to factories and warehouses — will be robotic and embodied by AI,” said Jensen Huang.

13/38
@heyshrutimishra
12. NVIDIA Nemotron Models

NVIDIA NIM microservices enable AI agents on any accelerated system using Llama Nemotron language models and Cosmos Nemotron vision models for exceptional performance.

14/38
@heyshrutimishra
13. Omniverse Sensor RTX

Building Smarter Autonomous Machines: NVIDIA Announces Early Access for Omniverse Sensor RTX

Foretellix utilizes Omniverse Sensor RTX APIs to enhance object-level simulation into a highly accurate sensor simulation.

This empowers developers to effectively train and test autonomous vehicles with the precision and scale essential for successful deployment.



https://video.twimg.com/amplify_video/1876501777992060929/vid/avc1/960x720/Ao7ocdycYrInrT6p.mp4

15/38
@heyshrutimishra
14. AI Foundation Models for RTX AI PCs

NVIDIA NIM microservices make it easy to access and deploy the latest generative AI models.

NVIDIA AI Blueprints, built on NIM microservices, offer preconfigured reference workflows for digital humans, content creation, and more.



https://video.twimg.com/amplify_video/1876501855460855808/vid/avc1/960x720/opPMWaD7t6fgIS2T.mp4

16/38
@heyshrutimishra
15. Get RTX 4090 performance at just $549 with the new RTX 5070

17/38
@heyshrutimishra
I hope you've found this post helpful.

Follow @heyshrutimishra for more. Like/Repost to help others learn AI.

If you want to level up with AI in your day to day life, signup my newsletter! AI Wealth Playbook

[Quoted tweet]
NVIDIA just shook the AI world at #CES2025!

NVIDIA CEO Jensen Huang JUST announced jaw-dropping breakthroughs.

Here are the top 15 key highlights you can’t afford to miss: (wait till you see #15):

18/38
@heyshrutimishra
AI is not just a game-changer; it's a rule-rewriter.

BTW, if you're serious about dominating digital marketing with AI… you need to check out Shruti Mishra | DWA

Learn to:

• Automate content creation
• Build AI-powered marketing systems
• Scale your business effortlessly

19/38
@hu15110711
This is really going to hurt Tesla because there will be so many other players now in autonomy and robotics



20/38
@heyshrutimishra
Elon takes this positively. Let's see how this unfolds!



21/38
@amit6060
Result: Nvidia once again dethroned Apple as the world's most valuable company!

22/38
@heyshrutimishra
Impressive shift in the market landscape!



23/38
@TheTraderStop
Wow! Thank you for sharing!

And let's not forget the fact that /search?q=#NVDA will be partnering with /search?q=#UBER for autonomous driving

Uber Teams Up with NVIDIA to Accelerate Autonomous Mobility



24/38
@heyshrutimishra
Good to see how it plays out for both companies.



25/38
@sairahul1
So stock price going to 10 trillion



26/38
@heyshrutimishra
Totally!

Another highlight. haha

27/38
@Iam_Olukayode
Very impressive! Good job NVIDIA.



28/38
@heyshrutimishra
Exciting times ahead for tech!



29/38
@saidul_dev
Nvidia is taking AI to the next step.



30/38
@heyshrutimishra
Every single day



31/38
@Damn_coder
Nvidia is not going slow!



32/38
@heyshrutimishra
Not at all.



33/38
@samuraipreneur
Their new supercomuter looks insane!!

Nvidia never stops it seems



34/38
@heyshrutimishra
Right? They just keep pushing boundaries.



35/38
@EyeingAI
NVIDIA consistently keeps pushing the boundaries of innovation



36/38
@heyshrutimishra
Absolutely! Their tech breakthroughs are game changers.



37/38
@arnill_dev
Sounds like NVIDIA is raising the bar even higher!



38/38
@bitswired
@readwiseio save thread




To post tweets in this format, more info here: https://www.thecoli.com/threads/tips-and-tricks-for-posting-the-coli-megathread.984734/post-52211196

 

[beenz]

obviously anyone who received compensation in the form of either stock options or discounted stock employee purchase program benefited from the company growing exponentially the last few years. they essentially received a winning lottery ticket.

 

[bnew]

Spoiler: thread continued

Spoiler: full text & large images

1/11
@TheHumanoidHub
NVIDIA just introduced Cosmos, a platform for world foundation models designed for robotics.

⦿ It features advanced tokenizers, an AI-accelerated data pipeline, and integration with NVIDIA Omniverse. Humanoid makers 1X, Figure, and Agility are among the first to adopt Cosmos.

⦿ Cosmos generates synthetic, physics-based data, accelerating model training and customization.

⦿ It also features a CUDA-accelerated data processing pipeline that enables developers to process, curate, and label 20 million hours of videos in 14 days using the NVIDIA Blackwell platform.



https://video.twimg.com/ext_tw_video/1876485245312339968/pu/vid/avc1/1280x720/Res7shCLkFbL1Vsm.mp4

2/11
@TheHumanoidHub
Technical Blog:
NVIDIA Launches Cosmos World Foundation Model Platform to Accelerate Physical AI Development



3/11
@Brenten55
This Blew Me Away !!!

Entire video:
https://invidious.poast.org/live/k82RwXqZHY8?si=XBzhsKBcFFgyfCJK



4/11
@lwasinam
Speaking robot: Our new AI model translates vision and language into robotic actions



5/11
@steve_ike_
NVIDIA is cooking! Wonder if this helps some of the automakers who have fallen behind in self driving tech catch up?



6/11
@leo_grundstrom
Can this be used for video generation?



7/11
@robot_machines
This is the foreseeable future of robotics.



8/11
@AppyPieInc
Game-changer for robotics! Cosmos is setting a new standard for scalable training and deployment. Excited to see how pioneers like 1X and Agility leverage this!



9/11
@BriscoeCrainIV
I’m buying more NVIDIA in the morning!



10/11
@lateboomer88
This sounds like the pre version of terminator Skynet.



11/11
@saumil_chandira
Enabling both offline and online agents in one keynote




To post tweets in this format, more info here: https://www.thecoli.com/threads/tips-and-tricks-for-posting-the-coli-megathread.984734/post-52211196

 

[SadimirPutin]

I doubt that 50% number

 

[feelosofer]

Not surprised. They have always made a great product and they blew up even more when people were buying computers during the pandemic.

 

[010101]

..........*

 

[IIVI]

Pay attention that dude is saying software engineering as a career is not dead, but enhanced.

Sure a company can have 1 person taking on the tasks of 10 other people by using A.I.

However, what if another company had 100 people like that doing the same?

The latter company will seriously outclass the former company.

 

[IIVI]