IanFromSI
16 hours ago
BFD!
So itโs a large company with a lot of irons in the fire and substantial assets backing up its business.
Nvidiaโs total debt of approximately $11 billion on its balance sheet primarily consists of long-term debt and short-term debt. This debt can typically be attributed to the following sources:
1. Corporate Bonds
Nvidia has issued debt securities, such as senior unsecured notes, to raise capital for general corporate purposes, research and development, acquisitions, or stock buybacks. These bonds are publicly traded and have fixed or variable interest rates.
2. Credit Facilities
Nvidia may have drawn on revolving credit facilities provided by banks or other financial institutions. These facilities are often used for short-term liquidity needs or operational purposes.
3. Acquisition Financing
Nvidiaโs debt may partially stem from financing its major acquisitions, such as the purchase of Mellanox Technologies in 2020 (approximately $6.9 billion in cash). Acquisitions of this scale are often funded through a mix of cash, stock, and debt issuance.
4. Lease Obligations
A portion of Nvidiaโs total debt could include capitalized lease liabilities, which are reported as debt under accounting standards (ASC 842/IFRS 16).
If youโre really interested in Nvidiaโs debt structure, the companyโs latest 10-K or 10-Q filings with the SEC would provide the most detailed information, including interest rates, maturities, and specific instruments.
Jetmek_03052
19 hours ago
With all the good stuff presented by Nvidia and the new partnerships, why has the stock dropped?
This story might explain why the sudden drop came yesterday. It might not be the whole reason for it, but I'll bet it had something to do with it.
https://www.zerohedge.com/political/nvda-dips-after-biden-doubles-down-ai-chip-export-ban-ahead-trump
With less than two weeks to go until President Trump takes over The White House - and 24 hours after he unveiled a new $20 billion major investment from Emirati billionaire Hussain Sajwani to build new data centers across the US - the Biden administration plans one additional round of restrictions on the export of AI chips from the likes of Nvidia in a final push in his effort to keep advanced technologies out of the hands of China and Russia.
Bloomberg reports, citing people familiar with the matter, that Biden wants to curb the sale of AI chips used in data centers on both a country and company basis, with the goal of concentrating AI development in friendly nations and getting businesses around the world to align with American standards
The regulations, which could be issued as soon as Friday, would create three tiers of chip trade restrictions, said the people, who asked not to be identified because the discussions are private.
Plus - the fact of the matter is that the entire tech market took a nosedive yesterday. Many of the Mag7 stocks took a hit.
This is no big deal.
And why is this sudden bar at the level of $140/share been put into place? Here just recently, you were saying you expected NVDA to be down in the $90/share range by what....March (I believe)? Now you are basically saying it should maintain a share price above $140? Where are you getting that figure? And what happens if NVDA goes to say....$130? Suddenly you'd be correct and because it slipped down to $130, it's a POS???
doc2016
1 day ago
jensen will likely maintain this line of context on quantum computing until the next administration is fully in place and a new doj seated.
if jensen didn't believe in what quantum computing brings to the table there wouldn't be cuda-q.
a fully fleshed out quantum computer without the rest of the classical computer infrastructure is potentially what he's referring to.
he 's got the edge supercomputer for your desktop coming in may-june 2025, but not likely to have a desktop/mobile quantum computer in the same time frame, so you will get the quantum participation via the cloud. and cuda-q, wags.
media has taken a few words without further information and run with it, parsing as they desire for their own interests or those who support /pay them.
trump is trying to tell china that the panama canal and greenland are important enough to usa interests that they'd be militarily protected. sphere of influence statement. but the media/dems want to make it war mongering. china in panama and russia interests in greenland....nothing secret about their intentions or activities in such. panama canal blockage makes usa logistics /economic work more difficult. greenland in right in the artic area of conflict with the russian regime.
if a space ladder wast to be built, greenland is very important, besides their mineral resources to economies/techs of the world.
Jetmek_03052
1 day ago
As far as I can see, Jensen Huang's comments on quantum computers did not mention any specific company. He simply offered his opinion on the effectiveness of quantum computers TODAY. He said they weren't good at dealing with large data problems YET - only small data problems. He said that quantum computers dealing with large data problems would not be a reality for some time...possibly as long as 15 years away.
Huang said "Just about every quantum computing company in the world is working with us now, and they're working with us in two ways. One, is quantum classical and we call it CUDA Q. We're extending CUDA to quantum and they use us for simulating the algorithms, simulating the architecture, creating the architecture itself."
He went on to say "Someday we'll have very useful quantum computers. We're probably five or six orders of magnitudes away, 15 years for useful quantum computers and that would be on the early side. 30 years is probably on the late side. If you picked 20 years a whole bunch of us would believe it. We want to help the industry get there as fast as possible and create the computer of the future."
In other words? He told the TRUTH. Who would better know the truth than the CEO of a company that yearns for an adequate quantum computer to aid his AI ambitions? And has probably tried quantum computers in his quest and discovered their real-life limitations.
Now people who said Huang was a great force in AI are throwing him under the bus...for telling the truth.
Still, he probably should not have offered truthful comments as to the timeline of effective Quantum computers. Probably should have just gone ahead and talked about how great the FUTURE will be with quantum computers and left it at that.
doc2016
2 days ago
delta and nvidia:"You're right to think there's a connection between Delta Electronics and NVIDIA! They have a partnership focused on leveraging NVIDIA's technology to enhance Delta's capabilities in areas like AI, digital twins, and smart manufacturing. ย
Here's a breakdown of their collaboration:
1. AI and Digital Twins for Smart Manufacturing
Goal: Improve efficiency and productivity in manufacturing using AI-powered digital twins. ย
Key Initiatives:
NVIDIA Omniverse: Delta uses NVIDIA Omniverse to create digital twins of its factories and production lines. This allows them to simulate and optimize processes before actual production begins. ย
NVIDIA Isaac Sim: Delta utilizes NVIDIA Isaac Sim, a robotics simulation application, to generate synthetic data for training computer vision models and simulating robot behavior. ย
AI-Powered Inspection: Delta uses AI and computer vision to automate quality inspection on its production lines, improving accuracy and efficiency. ย
2. Energy-Efficient AI Infrastructure
Goal: Develop energy-efficient power and thermal management solutions for AI data centers and GPUs.
Key Initiatives:
ORV3 AI Server Infrastructure: Delta showcased its ORV3 AI server infrastructure solution at NVIDIA GTC, featuring high-efficiency power supplies and cooling technologies. ย
Power and Thermal Management Solutions: Delta offers a range of power and thermal management solutions designed to optimize the energy efficiency of GPU operations in data centers. ย
3. Collaboration at NVIDIA GTC
GTC Participation: Delta actively participates in NVIDIA GTC, a global AI conference, to demonstrate its latest innovations and collaborations with NVIDIA. ย
Showcasing Solutions: Delta has showcased its digital twin platform, AI server infrastructure, and power solutions at GTC, highlighting their joint efforts with NVIDIA. ย
Benefits of the Partnership:
Enhanced Manufacturing Capabilities: Delta leverages NVIDIA's technology to enhance its smart manufacturing capabilities, improving efficiency and productivity. ย
AI Innovation: The partnership enables Delta to develop and deploy AI-powered solutions for various applications, including industrial automation and inspection. ย
Energy Efficiency: Delta's collaboration with NVIDIA focuses on developing energy-efficient solutions for AI infrastructure, contributing to sustainability goals. ย
Overall:
The Delta and NVIDIA partnership is a strong example of how technology companies can collaborate to drive innovation in manufacturing and AI. By combining their expertise, they are developing solutions that improve efficiency, productivity, and sustainability in industrial settings. This partnership is likely to continue to evolve as both companies push the boundaries of AI and digital twin technologies." per gemini ai pro 1.5
doc2016
2 days ago
You're likely referring to Jensen Huang's keynote at SIGGRAPH 2024, where he discussed the concept of "physical AI" and the need for three computers to make it a reality. He wasn't specifically talking about three distinct physical computers but rather three interconnected computer systems working together.
Here's a breakdown of the three "computers" he mentioned and their functions in the context of physical AI:
1. The AI Factory (Creating the AI)
Function: This "computer" is responsible for developing and training the AI models that will power physical AI agents (robots, autonomous vehicles, etc.).
Key Components:
DGX H100 Systems: NVIDIA's powerful DGX H100 systems, equipped with Hopper GPUs and high-bandwidth memory, are ideal for training large and complex AI models. ย
NVIDIA AI Enterprise: A suite of software tools for AI development and deployment. ย
Large Datasets: Access to massive datasets for training the AI models.
2. The AI Simulator (Simulating the AI)
Function: This "computer" simulates the physical world and the AI's interactions within it. This allows for safe and efficient training of AI agents in a virtual environment before they are deployed in the real world.
Key Components:
Omniverse: NVIDIA's Omniverse platform enables the creation of physically accurate simulations and digital twins. ย
RTX Technology: RTX GPUs with ray tracing capabilities render realistic and immersive simulations. ย
Physics Engines: Physics engines simulate the physical interactions of objects in the virtual environment. ย
3. The AI Brain (Running the AI)
Function: This "computer" is the physical embodiment of the AI agent itself. It runs the AI models in real-time to perceive the environment, make decisions, and control its actions.
Key Components:
Jetson Embedded Platforms: NVIDIA's Jetson platform provides compact and powerful embedded computers for AI at the edge. ย
Sensors and Actuators: Sensors (cameras, lidar, etc.) to perceive the environment and actuators (motors, controls) to interact with the physical world.
The "Three-Body Problem"
Jensen Huang referred to this as a "three-body problem" because it involves the complex interaction and coordination of these three computer systems. The AI factory creates the AI, the AI simulator trains it, and the AI brain runs it in the real world.
Key Takeaway
This concept highlights the interconnected nature of AI development, simulation, and deployment in the context of physical AI. It emphasizes the need for powerful hardware, software, and simulation tools to create AI agents that can operate effectively in the real world.
ShawnP123
2 days ago
Today was one of the biggest sell offs. The volume already exceeds the average daily volume. Yesterday the short sale volume was up. Here's something of interest and explains why a company has a pretty good idea of TAM and SAM of products they are developing. Designing and producing a complex semiconductor chip, particularly at advanced nodes like 5nm or below, can cost hundreds of millions of dollars, with the cost of design alone often exceeding $500 million due to the intricate design process, expensive software tools, and high research and development needs involved; These numbers were based on 5 & 10 nm lines. 2 and 3nm lines cost more. Jensen likes to keep SAM/TAM of a product along with timing close to his chest.
Jetmek_03052
2 days ago
As far as the Mag 7 stocks retreating - there are several articles about them. Tesla being investigated for the "Actually Smart Summon" feature software in its cars that might have led to crashes , NVDA in the news about a deal with Aurora, META scrapping its fact checking program for a community-based system similar to "X".
And apparently, US job openings have increased, while hiring has fallen - according to the US Labor department's Bureau of Labor Statistics report.
So, plenty to drive this market down today.