ALAB vs NVDA Stock Comparison: AI Score, Valuation, Performance and Upside
Astera Labs and NVIDIA both benefit from the AI data center buildout, but NVIDIA is the dominant, large-scale designer of the GPUs and AI accelerators at the center of AI computing, while Astera Labs is a smaller, specialized connectivity chip company providing the high-speed interconnect technology that moves data between those processors, memory, and accelerators.
NVIDIA offers dominant, large-scale exposure to AI compute demand with a deeply entrenched software moat, while Astera Labs offers a smaller, more concentrated bet on a specific, critical niche within AI data center connectivity. Consider whether you prefer NVIDIA's broad AI compute dominance or Astera Labs' focused connectivity niche exposure.
NVDA holds the edge across 5 of 5 key metrics in this comparison. NVDA leads on both 1-year return (+26.12%) and forward P/E quality (14.21x vs 45.55x for ALAB), a relatively favorable combination of momentum and valuation. NVDA leads on both revenue growth (105.90%) and operating margin (66.24%), suggesting a stronger fundamental setup on both dimensions. Analyst consensus implies meaningfully more upside for NVDA (+48.66%) than for ALAB (+33.90%).
Human Wall Street analysts' price targets, typically implying a ~12-month view — a separate signal from this site's own AI Prediction Signal further down the page, which is a 5-/30-day machine-learning forecast based on price history alone.
- Want concentrated exposure to a specific, critical connectivity niche within AI data center architecture
- Value Astera Labs' strong design win relationships with major cloud and AI hyperscaler customers
- Are comfortable with customer concentration risk and a smaller company profile than NVIDIA
- Believe demand for high-speed data movement solutions will continue growing alongside AI infrastructure buildout
- Want exposure to the dominant designer of GPUs and AI accelerator hardware powering the AI computing industry
- Value the durability of NVIDIA's CUDA software ecosystem as a competitive moat
- Prefer broader diversification across GPUs, networking, and software over a narrower connectivity niche
- Are comfortable paying a premium valuation for the clear AI infrastructure market leader
| Metric | ALAB | NVDA |
|---|---|---|
| AI scorei | 47.4 | 87.4 |
| AI ranki | #657 | #3 |
| Latest closei | $303.25 | $222.27 |
| 1M returni | +4.92% | +2.16% |
| 6M returni | +140.37% | +24.48% |
| 1Y returni | +20.39% | +26.12% |
How much would $10,000 be worth today if invested at the start of each period, with all dividends reinvested?
| Period | ALAB | NVDA |
|---|---|---|
| 1Y ago | $12.04K (+20.4%) started 2025-09-18 | $12.61K (+26.1%) started 2025-09-18 |
| 5Y ago | $48.89K (+388.9%) started 2024-03-20 | $105.67K (+956.7%) started 2021-09-20 |
| 10Y ago | $48.89K (+388.9%) started 2024-03-20 | $1.44M (+14328.9%) started 2016-09-19 |
Hypothetical — past performance does not guarantee future results.
| Metric | ALAB | NVDA |
|---|---|---|
| Market capi | $50.52B | $5.25T |
| Trailing P/Ei | 142.75 | 27.47 |
| Forward P/Ei | 45.55 | 14.21 |
| Price/Salesi | N/A | 23.66 |
| EV/Revenuei | 41.03 | 17.23 |
| Analyst targeti | $389.95 | $323.42 |
| Target upsidei | +33.90% | +48.66% |
| Metric | ALAB | NVDA |
|---|---|---|
| Revenue growthi | 104.50% | 105.90% |
| Earnings growthi | 186.20% | 127.80% |
| EPS growthi | +186.20% | +127.80% |
| FCF margini | +7.65% | +13.80% |
| Operating margini | 22.74% | 66.24% |
| Profit margini | 30.74% | 63.66% |
| ROIC proxyi | 25.83% | 117.21% |
| Return on equityi | 25.83% | 117.21% |
| Dividend yieldi | N/A | 0.46% |
| Payout ratioi | 0.00% | 3.54% |
| Dividend growth streaki | N/A | No increase yet |
| Betai | 3.78 | 2.21 |
| Debt/equityi | 2.57 | 16.97 |
| Current ratioi | 10.05 | 4.59 |
| Quick ratioi | 9.16 | 2.92 |
Over the past year, ALAB and NVDA have moved moderately in the same direction (correlation of 0.42), based on daily returns.
Lower drawdown and smaller single-period drops generally indicate a smoother ride, though they do not guarantee lower future risk.
| Period | Metric | ALAB | NVDA |
|---|---|---|---|
| 1Y | Growthi | +20.39% | +26.12% |
| CAGRi | +20.41% | +26.14% | |
| Volatilityi | 98.83% | 37.93% | |
| Sharpe ratioi | 0.64 | 0.68 | |
| Sortino ratioi | 0.93 | 1.02 | |
| Max drawdowni | 60.19% | 20.22% | |
| Current drawdowni | 37.22% | 5.71% | |
| Avg drawdowni | 31.20% | 9.00% | |
| Ulcer Indexi | 34.71% | 10.19% | |
| Max daily dropi | 21.41% | 6.20% | |
| Max wkly dropi | 34.09% | 10.72% | |
| 5Y | Growthi | +388.88% | +954.74% |
| CAGRi | +88.81% | +60.26% | |
| Volatilityi | 94.21% | 52.02% | |
| Sharpe ratioi | 1.09 | 1.08 | |
| Sortino ratioi | 1.73 | 1.67 | |
| Max drawdowni | 63.69% | 66.34% | |
| Current drawdowni | 37.22% | 5.71% | |
| Avg drawdowni | 29.49% | 16.75% | |
| Ulcer Indexi | 34.31% | 24.20% | |
| Max daily dropi | 28.03% | 16.97% | |
| Max wkly dropi | 37.61% | 22.20% | |
| 10Y | Growthi | +388.88% | +14093.98% |
| CAGRi | +88.81% | +64.16% | |
| Volatilityi | 94.21% | 50.04% | |
| Sharpe ratioi | 1.09 | 1.15 | |
| Sortino ratioi | 1.73 | 1.76 | |
| Max drawdowni | 63.69% | 66.34% | |
| Current drawdowni | 37.22% | 5.71% | |
| Avg drawdowni | 29.49% | 15.48% | |
| Ulcer Indexi | 34.31% | 22.77% | |
| Max daily dropi | 28.03% | 18.76% | |
| Max wkly dropi | 37.61% | 28.36% |
| Category | ALAB | NVDA |
|---|---|---|
| Company | Astera Labs, Inc. | NVIDIA Corporation |
| Sector | Technology | Technology |
| Industry | Semiconductors | Semiconductors |
| Core business | A semiconductor company providing connectivity chips, including PCIe retimers and CXL smart memory controllers, that enable high-speed data movement between processors, memory, and accelerators inside AI data centers. | The dominant designer of GPUs and AI accelerator hardware, along with the CUDA software platform and networking technology, powering the majority of AI training and inference workloads in data centers globally. |
| Investor focus | Design win momentum with major cloud and AI hyperscaler customers, revenue growth tied to AI server connectivity content, and gross margin trends. | Data center GPU revenue growth, AI accelerator demand from hyperscalers, and the durability of NVIDIA's CUDA software ecosystem moat. |
- Specialized, differentiated connectivity chip technology addresses a critical bottleneck in AI data center architecture
- Strong design win relationships with major cloud and AI infrastructure hyperscalers
- Benefits directly from the same AI data center buildout trends driving demand for NVIDIA's GPUs
- Dominant market share in AI accelerator GPUs, reinforced by the deeply entrenched CUDA software ecosystem
- Massive scale and R&D resources enable rapid product iteration to maintain its technology lead
- Diversified AI infrastructure offering spanning GPUs, networking, and software platforms
- Much smaller and more narrowly focused than NVIDIA, with revenue concentrated in a specific connectivity chip category
- Customer concentration risk, given reliance on a relatively small number of large hyperscaler customers
- Faces competitive risk from alternative interconnect standards and larger semiconductor companies entering the space
- Premium valuation reflects high expectations for continued AI infrastructure spending growth
- Faces long-term competitive risk from custom AI chips developed by major cloud hyperscaler customers
- Export control and geopolitical restrictions can affect access to certain international markets
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