Nvidia Corp vs SoundHound AI Inc — how do they compare? Nvidia Corp trades at $206.43 (market cap $4.92T), while SoundHound AI Inc trades at $6.56 (market cap $2.75B). The key difference: Nvidia Corp is far larger — about 1789.1× SoundHound AI Inc's market cap, and Nvidia Corp pays a 0.49% dividend while SoundHound AI Inc pays none. Which is the better fit depends on your goals.
| NVDA | SOUN | |
|---|---|---|
Market Cap | $4.92T | $2.75B |
Sector | Technology | Technology |
52-Week High | $235.75 | $21.40 |
52-Week Low | $165.17 | $5.90 |
Enterprise Value | $4.86T | $2.54B |
Dividend Yield | 0.49% | — |
Signals from Pluang's Aura AI — not financial advice
NVIDIA (NVDA) trades at $207.14, up 2.14% today, with a neutral technical signal and strong fundamentals. Recent earnings beats and robust profitability margins highlight operational strength. The stock is supported by a consensus analyst price target of $325.86, though it faces technical resistance near $210.
Outlook remains positive driven by AI chip demand, but risks include competition and market volatility. Revenue growth acceleration and high institutional ownership suggest long-term potential, yet valuation multiples require sustained execution to justify further upside.
No Aura AI signal available yet.
Trailing returns across standard periods
Latest headlines on both assets
NVIDIA Corporation designs, develops, and markets three dimensional (3D) graphics processors and related software. The Company offers products that provides interactive 3D graphics to the mainstream personal computer market.
Read more on NVDA →SoundHound AI, Inc. is a leading innovator in voice artificial intelligence, specializing in conversational intelligence technology. The company develops a platform that allows businesses to add custom voice assistants and natural language processing capabilities to their products and services, ranging from in-car systems and smart speakers to mobile apps and IoT devices. SoundHound's core technology, including its proprietary speech recognition and natural language understanding models, aims to enable fast, accurate, and deeply integrated voice AI experiences across various industries.
Read more on SOUN →