MRVL vs AMD Stock Comparison: AI Score, Valuation, Performance and Upside
Marvell and AMD are both AI semiconductor companies competing in the AI data center market, but with complementary rather than competing strategies. Marvell provides custom AI ASICs and networking silicon for AI clusters. AMD provides general-purpose AI GPUs (MI300X) and EPYC server CPUs powering the servers in those clusters. Both benefit from AI data center buildout, but serve different needs — AMD competes directly against Nvidia; Marvell competes more with Broadcom for custom silicon and networking.
MRVL vs AMD is AI data center networking silicon and custom hyperscaler ASICs in optical interconnect and data infrastructure (Marvell) versus x86 CPU market share gainer and Nvidia GPU alternative with MI300X AI accelerators (AMD) — networking and custom AI infrastructure vs general-purpose CPU/GPU AI compute.
AMD holds the edge across 3 of 5 key metrics in this comparison. AMD has delivered stronger 1-year price return (+254.50% vs +229.04%), though MRVL has the better forward P/E setup (30.75x vs 33.28x for AMD). AMD leads on both revenue growth (50.10%) and operating margin (17.25%), suggesting a stronger fundamental setup on both dimensions. Analyst consensus implies meaningfully more upside for MRVL (+37.93%) than for AMD (+19.17%).
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.
- prefer AI data center connectivity silicon and custom ASIC exposure in optical networking and hyperscaler custom chip design
- value Marvell's differentiated position in optical DSP technology enabling the high-bandwidth networks AI GPU clusters require
- want semiconductor exposure with less direct GPU competition with Nvidia than AMD faces — Marvell's networking and custom ASIC markets have different competitive dynamics
- are comfortable with smaller scale than AMD or Broadcom, carrier network cyclicality, and hyperscaler custom ASIC design win risk
- prefer AMD EPYC CPU market share gains against Intel combined with MI300X AI GPU adoption as complementary data center growth drivers
- value AMD's fabless TSMC manufacturing advantage enabling consistent EPYC CPU performance gains over Intel's manufacturing-challenged Xeon
- want the closest publicly traded alternative to Nvidia AI GPU exposure — MI300X provides Nvidia AI competition optionality
- are comfortable with Nvidia CUDA software ecosystem dominance limiting MI300X training market share, Intel foundry recovery risk to CPU share, and AMD's ongoing competition on two fronts simultaneously
| Metric | MRVL | AMD |
|---|---|---|
| AI scorei | 79.4 | 86.1 |
| AI ranki | #16 | #4 |
| Latest closei | $244.25 | $559.82 |
| 1M returni | +2.94% | +20.02% |
| 6M returni | +172.81% | +172.72% |
| 1Y returni | +229.04% | +254.50% |
How much would $10,000 be worth today if invested at the start of each period, with all dividends reinvested?
| Period | MRVL | AMD |
|---|---|---|
| 1Y ago | $32.9K (+229.0%) started 2025-09-18 | $35.45K (+254.5%) started 2025-09-18 |
| 5Y ago | $40.25K (+302.5%) started 2021-09-20 | $55.13K (+451.3%) started 2021-09-20 |
| 10Y ago | $189.34K (+1793.4%) started 2016-09-19 | $908.8K (+8988.0%) started 2016-09-19 |
Hypothetical — past performance does not guarantee future results.
| Metric | MRVL | AMD |
|---|---|---|
| Market capi | $185.56B | $842.57B |
| Trailing P/Ei | 68.15 | 131.67 |
| Forward P/Ei | 30.75 | 33.28 |
| Price/Salesi | N/A | 24.30 |
| EV/Revenuei | 19.66 | 20.18 |
| Analyst targeti | $284.80 | $615.07 |
| Target upsidei | +37.93% | +19.17% |
| Metric | MRVL | AMD |
|---|---|---|
| Revenue growthi | 36.50% | 50.10% |
| Earnings growthi | 50.00% | 159.50% |
| EPS growthi | +50.00% | +159.50% |
| FCF margini | +25.48% | +21.41% |
| Operating margini | 16.68% | 17.25% |
| Profit margini | 27.93% | 15.58% |
| ROIC proxyi | 16.52% | 10.20% |
| Return on equityi | 16.52% | 10.20% |
| Dividend yieldi | 0.11% | N/A |
| Payout ratioi | 7.95% | 0.00% |
| Dividend growth streaki | N/A | N/A |
| Betai | 2.25 | 2.48 |
| Debt/equityi | 28.52 | 6.36 |
| Current ratioi | 3.17 | 2.61 |
| Quick ratioi | 2.46 | 1.69 |
Over the past year, MRVL and AMD have moved moderately in the same direction (correlation of 0.52), 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 | MRVL | AMD |
|---|---|---|---|
| 1Y | Growthi | +229.04% | +254.50% |
| CAGRi | +229.31% | +254.80% | |
| Volatilityi | 79.31% | 72.09% | |
| Sharpe ratioi | 1.84 | 2.06 | |
| Sortino ratioi | 3.10 | 3.54 | |
| Max drawdowni | 48.36% | 27.76% | |
| Current drawdowni | 22.81% | 3.63% | |
| Avg drawdowni | 13.64% | 11.64% | |
| Ulcer Indexi | 18.04% | 14.50% | |
| Max daily dropi | 16.74% | 17.31% | |
| Max wkly dropi | 22.60% | 23.67% | |
| 5Y | Growthi | +302.52% | +451.28% |
| CAGRi | +32.16% | +40.74% | |
| Volatilityi | 64.96% | 57.31% | |
| Sharpe ratioi | 0.68 | 0.80 | |
| Sortino ratioi | 1.04 | 1.24 | |
| Max drawdowni | 62.10% | 65.45% | |
| Current drawdowni | 22.81% | 3.63% | |
| Avg drawdowni | 31.59% | 29.10% | |
| Ulcer Indexi | 35.71% | 33.75% | |
| Max daily dropi | 19.81% | 17.31% | |
| Max wkly dropi | 23.97% | 23.91% | |
| 10Y | Growthi | +1793.41% | +8987.99% |
| CAGRi | +34.21% | +57.00% | |
| Volatilityi | 53.54% | 56.98% | |
| Sharpe ratioi | 0.73 | 1.00 | |
| Sortino ratioi | 1.12 | 1.54 | |
| Max drawdowni | 62.10% | 65.45% | |
| Current drawdowni | 22.81% | 3.63% | |
| Avg drawdowni | 20.39% | 21.42% | |
| Ulcer Indexi | 26.80% | 26.88% | |
| Max daily dropi | 19.81% | 24.23% | |
| Max wkly dropi | 23.97% | 32.68% |
| Category | MRVL | AMD |
|---|---|---|
| Company | Marvell Technology, Inc. | Advanced Micro Devices, Inc. |
| Sector | Technology | Technology |
| Industry | Semiconductors | Semiconductors |
| Core business | Marvell Technology is a semiconductor company specializing in data infrastructure — primarily data center networking (Ethernet ASICs, optical interconnects), custom AI ASICs for hyperscalers, and storage controllers. Marvell's custom AI ASIC business (like Broadcom's) designs chips specifically for Amazon (AWS Trainium, Inferentia) and other hyperscalers. Marvell's connectivity chips (PAM4 DSPs for optical networking) are essential components in AI data center high-speed networks connecting GPU clusters. | AMD designs x86 server CPUs (EPYC), gaming GPUs (Radeon), and AI accelerators (MI300X, MI325X) for data center AI workloads. AMD is the primary alternative to Nvidia's H100/B200 in AI accelerator hardware. AMD's MI300X GPU has been adopted by Microsoft, Meta, and other hyperscalers for AI inference workloads where Nvidia's CUDA software lock-in is less critical than in AI training. EPYC server CPUs have been winning data center market share from Intel for multiple years. |
| Investor focus | Investors track data center revenue growth (both custom AI ASICs and networking), custom ASIC design win announcements, and optical interconnect demand as AI data centers scale. | Investors track EPYC server CPU market share, MI300X AI GPU quarterly revenue, data center segment total revenue, and AMD's ability to close the software ecosystem gap with Nvidia. |
- Custom AI ASIC relationships with Amazon and Google create designed-in hyperscaler revenue similar to Broadcom's XPU relationships
- Optical interconnect silicon (DSPs for 800G and 1.6T speeds) is the critical component enabling high-bandwidth AI data center networking
- Data center networking transition to Ethernet from InfiniBand benefits Marvell's Ethernet ASIC portfolio as hyperscalers prefer open-standard networking
- EPYC server CPU winning multi-year data center market share from Intel through consistent price/performance advantage using TSMC's superior manufacturing process
- MI300X AI GPU adopted by hyperscalers for inference workloads — Microsoft, Meta, and others have deployed MI300X alongside Nvidia GPUs
- Fabless model on TSMC's best process gives AMD CPU and GPU performance advantages over Intel's own manufacturing
- Marvell is significantly smaller than Broadcom and AMD — competing for hyperscaler ASIC relationships requires sustained investment in custom chip design capability
- Custom ASIC revenue depends on hyperscaler AI chip development cycles — delays in Amazon Trainium or Google TPU development affect Marvell's ASIC design wins
- Carrier and enterprise networking exposure (a significant portion of Marvell's revenue) faces different cycle timing than data center networking
- Nvidia's CUDA software ecosystem is far more mature than AMD ROCm — AI developers default to CUDA, limiting MI300X adoption even when hardware is competitive
- AMD faces Nvidia's Blackwell GPU generation with dramatically improved AI performance — competition is intensifying not declining
- Data center CPU market share gains from Intel may slow as Intel's Intel 18A foundry recovery could eventually restore Intel manufacturing competitiveness
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