PSTG vs NVDA Stock Comparison: AI Score, Valuation, Performance and Upside
Pure Storage is a smaller, niche player benefiting from AI infrastructure spending on the data storage side, while NVIDIA is the dominant supplier of the GPUs that power essentially all large-scale AI compute. NVIDIA offers direct, large-scale exposure to AI infrastructure spending with the profitability of a market leader, while Pure Storage offers more modest, complementary exposure to the same buildout through the storage layer. The choice depends on whether an investor wants concentrated leadership exposure or more diversified, lower-multiple adjacent exposure to AI infrastructure.
Use this comparison to weigh dominant-position AI compute exposure (NVIDIA) against smaller, complementary AI storage infrastructure exposure (Pure Storage), recognizing the two occupy very different positions in the AI stack.
PSTG and NVDA are closely matched — they split the tracked metrics evenly.
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 smaller-cap, complementary exposure to AI infrastructure spending through storage
- Value a growing subscription revenue model with improving predictability
- Prefer a lower valuation multiple than mega-cap AI compute leaders
- Are comfortable with lumpier revenue tied to large enterprise deal timing
- Want concentrated exposure to the dominant supplier of AI training and inference compute
- Value extremely high profitability and cash generation
- Are comfortable holding a mega-cap stock with elevated growth expectations already priced in
- Believe AI compute demand will remain strong across hyperscalers and enterprises
| Metric | PSTG | NVDA |
|---|---|---|
| AI scorei | N/A | 88.0 |
| AI ranki | N/A | #3 |
| Latest closei | N/A | $217.23 |
How much would $10,000 be worth today if invested at the start of each period, with all dividends reinvested?
| Period | PSTG | NVDA |
|---|---|---|
| 1Y ago | N/A | $11.95K (+19.5%) started 2025-10-16 |
| 5Y ago | N/A | $98.12K (+881.2%) started 2021-10-18 |
| 10Y ago | N/A | $1.37M (+13584.8%) started 2016-10-17 |
Hypothetical — past performance does not guarantee future results.
| Metric | PSTG | NVDA |
|---|---|---|
| Market capi | N/A | $5.25T |
| Trailing P/Ei | N/A | 27.47 |
| Forward P/Ei | N/A | 14.21 |
| Price/Salesi | 6.12 | 23.66 |
| EV/Revenuei | N/A | 17.23 |
| Analyst targeti | N/A | $323.42 |
| Target upsidei | N/A | +48.66% |
| Metric | PSTG | NVDA |
|---|---|---|
| Revenue growthi | N/A | 105.90% |
| Earnings growthi | N/A | 127.80% |
| EPS growthi | N/A | +127.80% |
| FCF margini | N/A | +13.80% |
| Operating margini | N/A | 66.24% |
| Profit margini | N/A | 63.66% |
| ROIC proxyi | N/A | 117.21% |
| Return on equityi | N/A | 117.21% |
| Dividend yieldi | N/A | 0.46% |
| Payout ratioi | N/A | 3.54% |
| Dividend growth streaki | N/A | No increase yet |
| Betai | 1.47 | 2.21 |
| Debt/equityi | N/A | 16.97 |
| Current ratioi | N/A | 4.59 |
| Quick ratioi | N/A | 2.92 |
Lower drawdown and smaller single-period drops generally indicate a smoother ride, though they do not guarantee lower future risk.
| Period | Metric | PSTG | NVDA |
|---|---|---|---|
| 1Y | Growthi | N/A | +19.48% |
| CAGRi | N/A | +19.52% | |
| Volatilityi | N/A | 37.22% | |
| Sharpe ratioi | N/A | 0.54 | |
| Sortino ratioi | N/A | 0.81 | |
| Max drawdowni | N/A | 20.22% | |
| Current drawdowni | N/A | 9.20% | |
| Avg drawdowni | N/A | 9.02% | |
| Ulcer Indexi | N/A | 10.21% | |
| Max daily dropi | N/A | 6.20% | |
| Max wkly dropi | N/A | 10.72% | |
| 5Y | Growthi | N/A | +879.38% |
| CAGRi | N/A | +57.91% | |
| Volatilityi | N/A | 51.90% | |
| Sharpe ratioi | N/A | 1.05 | |
| Sortino ratioi | N/A | 1.63 | |
| Max drawdowni | N/A | 66.34% | |
| Current drawdowni | N/A | 9.20% | |
| Avg drawdowni | N/A | 16.72% | |
| Ulcer Indexi | N/A | 24.19% | |
| Max daily dropi | N/A | 16.97% | |
| Max wkly dropi | N/A | 22.20% | |
| 10Y | Growthi | N/A | +13361.95% |
| CAGRi | N/A | +63.30% | |
| Volatilityi | N/A | 50.06% | |
| Sharpe ratioi | N/A | 1.14 | |
| Sortino ratioi | N/A | 1.74 | |
| Max drawdowni | N/A | 66.34% | |
| Current drawdowni | N/A | 9.20% | |
| Avg drawdowni | N/A | 15.50% | |
| Ulcer Indexi | N/A | 22.78% | |
| Max daily dropi | N/A | 18.76% | |
| Max wkly dropi | N/A | 28.36% |
| Category | PSTG | NVDA |
|---|---|---|
| Company | Pure Storage, Inc. | NVIDIA Corporation |
| Sector | Technology / Data Storage | Technology |
| Industry | N/A | Semiconductors |
| Core business | Pure Storage designs all-flash data storage systems and subscription-based storage services used by enterprises for traditional workloads and increasingly for AI training and inference data pipelines. | NVIDIA designs GPUs and the associated software and networking technology that power the majority of AI training and inference workloads globally, alongside gaming and other computing markets. |
| Investor focus | Investors watch subscription annual recurring revenue growth, large enterprise and hyperscaler storage deals tied to AI infrastructure, and margin trends as the business shifts toward subscription models. | Investors focus on data center GPU revenue growth, the pace of new chip architecture launches, supply chain capacity, and customer concentration among major cloud and AI companies. |
- Growing subscription services revenue provides more predictable, recurring cash flow over time
- All-flash storage architecture is increasingly relevant to high-performance AI data pipeline needs
- Selected as a storage partner in large-scale AI infrastructure deals, providing a growth catalyst
- Dominant market position in AI training and inference GPUs with a multi-year technology and software ecosystem lead
- Extremely high profitability and free cash flow generation relative to peers
- Broad demand base spanning hyperscalers, enterprises, and sovereign AI infrastructure buildouts
- Storage is a competitive, capital-intensive market with pricing pressure from both legacy and cloud-native rivals
- Much smaller scale than the largest AI infrastructure suppliers, limiting pricing power in big deals
- Revenue growth can be lumpy depending on the timing of large enterprise and hyperscaler contracts
- Customer concentration among a small number of very large hyperscaler buyers creates order lumpiness risk
- Export restrictions and geopolitical dynamics can affect access to certain international markets
- Valuation reflects sustained expectations for continued AI compute demand growth
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