NVIDIA
Base 50, components added, then compressed onto a 2–98 scale. The formula is published and identical on every page.
What NVIDIA does
Designs the GPUs that train and serve most large AI models, along with the CUDA software layer and the NVLink and networking stack that ties racks of them together.
What moves NVDA
- Hyperscaler capital expenditure guidance
- Supply of advanced packaging and HBM
- Export licensing for China-bound accelerators
Related names in ai chips
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Common questions
Why does NVIDIA trade on hyperscaler capex rather than its own guidance?
A handful of cloud providers account for a large share of accelerator demand, so their announced spending plans lead NVIDIA's revenue by several quarters.
What is NVIDIA's sentiment score right now?
NVDA currently scores 80 out of 100, which reads as hot. The score combines one-day momentum, five-day trend, position in the 52-week range, headline flow and relative volume. The full breakdown is shown above.
Where does NVDA sit in the AI supply chain?
NVIDIA is grouped under ai chips. Companies designing the processors that train and run AI models — GPUs, custom accelerators and the CPUs alongside them.