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Nvidiavs.Qualcomm

NVDA vs QCOM · both in Chips & accelerators, part of the AI & digital infrastructure value chain: Designs and builds the processors, accelerators and memory that train and run AI.

Nvidia is about 31× larger than Qualcomm by market cap; Qualcomm trades at the lower P/E (18.7 vs 34.0); year to date, Nvidia leads (+11.8% vs −7.3%).

Side by side

NVDAQCOM
Market cap$5.4T$173B
Price$213.05$160.56
Today+2.2%+1.3%
Return YTD+11.8%−7.3%
Return 1Y+17.1%+0.3%
P/E34.018.7
P/S21.43.9
P/B27.76.3

Data as of 2026-08-26 · updates daily after U.S. close

The two companies

NvidiaNVDA

NASDAQ · USA

Nvidia sells the accelerators most large AI models are trained on, from H100 through B200 to Rubin. Harder to replace is CUDA, the software layer developers have standardised on. NVLink and the Mellanox networking business tie whole racks together.

AI hardwareData center exposure
Full NVDA profile →

QualcommQCOM

NASDAQ · USA

Snapdragon made Qualcomm the reference point in mobile silicon. Its NPUs run models on the handset or PC itself, and the same platforms now go into cars.

On-device AIMobile
Full QCOM profile →

More NVDA & QCOM comparisons

Other head-to-heads in the Chips & accelerators segment.

See where NVDA and QCOM sit in the full AI & digital infrastructure map: every segment from suppliers to end markets.Open the AI value chain →