I concluded final 12 months with two in-depth articles about Nvidia. I assumed after I was writing “What’s next for Nvidia stock in 2026” that there wouldn’t be any information about Nvidia for some time.
Then, Nvidia accomplished its funding in Intel, and I wrote “Nvidia makes good on a key 2025 promise,” an in depth evaluation of that collaboration.
I assumed at that time that January can be quiet, however I used to be very incorrect.
Nvidia determined to go all in with its bulletins throughout CES. It virtually seems as if the corporate could don’t have anything left to disclose throughout its personal GTC convention in March.
The corporate went so far as unveiling its subsequent technology of GPUs — Vera Rubin, which is one thing it will normally save for GTC.
Why the frenzy? Is the bubble about to burst, or is AMD’s Helios rack system, which can be set to launch this 12 months, placing stress on Nvidia?
I feel it’s AMD’s Helios and Google’s TPUs which have made Nvidia shift gears, and it reveals.
Nvidia CEO Jensen Huang believes “the ChatGPT moment for physical AI is here.”
Shutterstock-Glen Picture
Financial institution of America reiterates Nvidia as its prime AI decide
Financial institution of America analyst Vivek Arya and his staff attended Nvidia’s (NVDA) CES 2026 keynote and monetary analyst Q&A session on January 5. Following the occasion, they up to date their opinion on NVDA inventory in a analysis observe shared with TheStreet.
The staff stated Nvidia CEO Jensen Huang famous that “very high” demand for AI computing continues, and introduced the brand new Vera Rubin AI platform.
Analysts famous their highlights from the occasion:
- AI scaling stays on monitor, with 5 instances the token technology and 10 instances the fee discount per 12 months.
- Six new AI chips have been introduced for the Vera Rubin platform, slated for the second half of 2026.
- The corporate unveiled a brand new pod-level context reminiscence storage platform.
- Nvidia continues to run each single main LLM at the moment.
- AI will probably be funded by the modernization of AI and the shifting of R&D strategies.
- The Groq/SRAM deal could possibly be useful for very low-latency workloads.
- AI is scaling past LLMs, into bodily AI.
- China’s H200 demand is there, however it’s nonetheless awaiting licenses.
An knowledgeable and cautious reader will discover that the analyst staff should have missed the truth that Google Gemini 3 was skilled and is operating on Google’s personal TPUs, as reported by CNBC.
The staff stated Nvidia’s continued dominance in AI compute, networking system, and ecosystem is buying and selling at simply roughly 19 a number of value to earnings ratio, or in step with the broader S&P 500 index, regardless of its superior, greater-than-35% EPS CAGR and upwards of 40% free money circulation.
Arya reiterated a purchase ranking and the goal value of $275, based mostly on 28 a number of his estimate for price-to-earnings ratio excluding money for calendar 12 months 2027, which is inside Nvidia’s historic ahead 12 months price-to-earnings vary of 25 to 56.
Analysts famous draw back threat components for Nvidia:
- Weak spot within the consumer-driven gaming market
- Competitors with main public companies
- Bigger-than-expected affect from restrictions on compute shipments to China
- Lumpy and unpredictable gross sales in new enterprise, knowledge heart, and autos
markets - Potential for decelerating capital returns
- Enhanced authorities scrutiny of Nvidia’s dominant market place in AI
chips
Key Nvidia CES bulletins
Nvidia unveiled its next-generation AI Rubin platform, consisting of six new chips.
The Rubin platform makes use of excessive co-design throughout its six chips: the Vera CPU, Rubin GPU, NVLink 6 Swap, ConnectX-9 SuperNIC, BlueField-4 knowledge processing unit (DPU), and Spectrum-6 Ethernet Swap.
“Rubin arrives at exactly the right moment, as AI computing demand for both training and inference is going through the roof. With our annual cadence of delivering a new generation of AI supercomputers — and extreme codesign across six new chips — Rubin takes a giant leap toward the next frontier of AI,” said Huang.
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The corporate additionally launched its Alpamayo household of open AI fashions, simulation instruments, and datasets, designed for reasoning-based autonomous car (AV) improvement. In keeping with the corporate, the Alpamayo household introduces chain-of-thought, reasoning-based imaginative and prescient language motion fashions that carry humanlike pondering to AV decision-making.
Huang said: “The ChatGPT moment for physical AI is here — when machines begin to understand, reason and act in the real world. Robotaxis are among the first to benefit. Alpamayo brings reasoning to autonomous vehicles, allowing them to think through rare scenarios, drive safely in complex environments and explain their driving decisions — it’s the foundation for safe, scalable autonomy.”
Extra Nvidia:
- Nvidia’s China chip downside isn’t what most traders assume
- Jim Cramer points blunt 5-word verdict on Nvidia inventory
- That is how Nvidia retains prospects from switching
- Financial institution of America makes a shock name on Nvidia-backed inventory
Siemens and Nvidia introduced an growth of their partnership for the event of business and bodily AI options.
Roland Busch, president and CEO of Siemens AG, said: “Together, we are building the Industrial AI operating system — redefining how the physical world is designed, built and run — to scale AI and create real-world impact. By combining Nvidia’s leadership in accelerated computing and AI platforms with Siemens’ leading hardware, software, industrial AI and data, we’re empowering customers to develop products faster with the most comprehensive digital twins, adapt production in real time and accelerate technologies from chips to AI factories.”
The businesses plan to construct the world’s first absolutely AI-driven, adaptive manufacturing websites. The primary one, in line with the plan, is the Siemens Electronics Manufacturing unit in Erlangen, Germany, in 2026.
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