Nvidia bets on robotics to drive future growth
Nvidia is focusing on robotics for growth, launching Jetson Thor in 2025. The global robotics market is expected to grow from $78 billion to $165 billion by 2029, despite safety challenges.
Read original articleNvidia is focusing on robotics as a key area for future growth amid increasing competition in its core artificial intelligence (AI) chip market. The company plans to launch its latest compact computers for humanoid robots, named Jetson Thor, in early 2025. Nvidia aims to establish itself as a leading platform in what it anticipates will be a significant robotics revolution. The company offers a comprehensive solution that includes software for training AI-powered robots and the necessary hardware. Nvidia's vice-president of robotics, Deepu Talla, believes the market is at a "tipping point" due to advancements in generative AI and the ability to train robots in simulated environments, which helps bridge the "Sim-to-Real gap." Despite the potential, the robotics sector remains a niche market with many startups struggling to scale and achieve profitability. Nvidia's robotics revenue is currently a small fraction of its overall sales, which are predominantly driven by data center revenue. The global robotics market is valued at approximately $78 billion and is expected to grow to $165 billion by 2029. Major companies like Amazon, Toyota, and Boston Dynamics are already utilizing Nvidia's technology for their robotics initiatives. However, challenges remain in ensuring the safety and reliability of machine learning systems in robotics.
- Nvidia is betting on robotics for future growth amid AI chip competition.
- The company will launch Jetson Thor, a new compact computer for humanoid robots, in 2025.
- Nvidia offers a full stack solution for AI-powered robotics, including software and hardware.
- The global robotics market is projected to grow from $78 billion to $165 billion by 2029.
- Safety and reliability in machine learning for robotics remain significant challenges.
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- Many commenters question the sustainability of robotics as a driving force for Nvidia, drawing parallels to previous tech hype cycles.
- Concerns are raised about the lack of concrete breakthroughs in robotics and the challenges of safety and reliability in machine learning systems.
- Some believe Nvidia's strategy is underappreciated, suggesting that AI advancements could unlock new possibilities in robotics.
- There is a call for better hardware and software integration in robotics development, emphasizing the need for modern practices.
- Several comments highlight the importance of addressing fundamental challenges in robotics, such as battery technology and affordable sensors.
Their bet is that AI will unlock robotics use and they don't want to be simply compute providers, they want to innovate on the whole chain, software, hardware, services, everything.
Their position is quite unique as their R&D is basically financed by their future competitors, they are making bank while going where the puck will be.
As the LLM, generative AI, etc. bubble begins to deflate due to investors and companies finding it hard to make profits from those AI usecases, Nvidia needs to pivot. This article indicates that Nvidia is hedging on robotics as the next driving force that will continue to sustain the massive interest in their products. Personally, I don't see how robotics can maintain that same driving force for their products, and investors will find it hard to squeeze profit out of it, and they'll be back to searching for another hype. It's like Nvidia is trying to create a market to justify their products and continued development, similar to what Meta has tried, to spectacular failure, with the Metaverse for their virtual products.
After the frenzy that sustained these compute products transitioned from big data, to crypto, and now, to AI, I'm curious what the next jump will be; I don't think the "physical AI" space of robotics can sustain Nvidia in the way that they're hoping.
Coming from web / app dev this was my very least favorite part of working on the software side of robotics with ROS.
The article references a "ChatGPT moment" for physical robotics, but honestly I think the Chat GPT moment has kind of come and gone, and the world still runs largely as it ever did. Probably not the best analogy, unless they're just talking about buckets of VC money flowing into the space to fund lots of bad ideas, which would be good for NVIDIA financially.
As an admitted non-expert in this field, I guess the one thing that really annoys me about articles like this is the lack of a concrete vision. It's like Boston Dynamics and their dancing robots, which while impressive, haven't really amounted to much outside of the lab. The last thing I remember reading was a military prototype to carry stuff for infantry that ended up being turned down because it was too loud.
The article even confirms this general perspective, ending with "As of right now, we don’t have very effective tools for verifying the safety and reliability properties of machine learning systems, especially in robotics. This is a major open scientific question in the field,” said Rosen."
So whatever robot you're developing is incredibly complex, to be trusted with heavy machinery or around consumers directly, while being neither verifiably safe nor reliable.
Sorry, but almost everything in this article sounds like a projection of AI-hype onto physical robotics, with all the veracity of "this is good for Bitcoin". Sounds like NVIDIA is doing right by its shareholders though.
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