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护城河对比

最多三家已覆盖的公司,逐项对照。每一项判断都是人工编辑的判断,而非公司披露的数字——并且每一项都附有其引用依据。

正在对比 Credo Technology×NVIDIA×AMD× 最多 3 家——请先移除一家再替换
Credo Technology CRDO ai 护城河: 最新变动 2026-06-15 NVIDIA NVDA ai 护城河: 最新变动 2026-02-25 AMD AMD ai 护城河: 最新变动 2026-02-04
护城河评级 窄

The 10-K names Broadcom, Marvell and Astera Labs as principal competitors that compete on 'some, but not all' of Credo's solutions, and discloses that the top 10 customers were approximately 90% of fiscal 2026 revenue with two customers at 10% or more each. A defensible technical position sold into a handful of buyers with that much leverage is narrow, not wide.

来源:sec.gov

宽

宽阔:CUDA 软件平台及其开发者既有用户基础在整个 AI 训练技术栈上形成高昂的转换成本,由累计 $76.7B 研发投入护持,并被 FY2026 约 71% 的毛利率以及同比增长 68% 的数据中心营收(约占总额 90%)所强化——按 FY2026 10-K,这些是持久且难以复制的优势。

来源:sec.gov

窄

AMD's FY2025 10-K documents real but bounded advantages: approximately 7,200 U.S. patents and roughly 18,900 patent matters worldwide, an outright claim that 'We are the market share leader in semi-custom game console products,' and gross margin of 50% on revenue up 34% to $34.6 billion. The same filing sets the ceiling: 'Some of our competitors may possess stronger market positions, larger customer bases, more design wins, and greater financial, sales, marketing, and distribution resources than us'; Nvidia is named 'the discrete GPU market share leader'; and AMD relies on TSMC 'for the production of all wafers for microprocessor and GPU products at 7 nanometer (nm) or smaller nodes.' Advantages that are genuine, contested, and dependent on a shared foundry are narrow, not wide.

来源:sec.gov

护城河类型 无形资产与知识产权

The filing states the products 'are based on our own optimized Serializer/Deserializer (SerDes) and Digital Signal Processor (DSP) technologies' and lists 'extent of IP protection and enforcement of rights' among the principal competitive factors in its market.

来源:sec.gov

无形资产与知识产权

持久优势建立在专有 IP 与软件之上:可在所有 NVIDIA GPU 上运行的全栈 CUDA 开发平台,加上数百个专有领域库/SDK/API,以及累计 $76.7B 研发投入所带来的 "inventions that are essential to modern computing"(NVIDIA 于 1999 年发明了 GPU)。按 FY2026 10-K 的业务章节,这一优势还被开发者生态系统的网络效应与 CUDA 转换成本进一步强化。

来源:sec.gov

无形资产与知识产权

The FY2025 10-K locates the durable asset in design IP rather than manufacturing: 'We rely on contracts and intellectual property rights to protect our products and technologies from unauthorized third-party copying and use,' with approximately 7,200 U.S. patents and about 18,900 patent matters worldwide spanning x86 EPYC/Ryzen CPUs, CDNA/RDNA graphics and the Versal/Zynq adaptive-SoC families, and it credits customer wins to 'our broad IP portfolio and leadership in design, integration and advanced packaging.' It is explicitly not cost_scale: AMD is fabless and 'utilize[s] Taiwan Semiconductor Manufacturing Company Limited (TSMC) for the production of wafers' — the same leading-edge foundry its merchant competitors use, so no manufacturing-scale advantage accrues to it.

来源:sec.gov

领先地位 并列领先者

The 10-K states 'We believe we are the only company in our industry offering a complete suite of high-performance connectivity solutions', while naming Broadcom, Marvell and Astera as principal competitors on parts of the portfolio — a co-leader's claim, attributed to the company, not an independently observed share.

来源:sec.gov

明确领先者

FY2026 Data Center revenue was $193.7B (~90% of the $215.9B total), up 68% YoY on the Blackwell ramp, and NVIDIA describes itself as "a data center scale AI infrastructure company reshaping all industries." The 10-K frames named rivals as parties who "provide or intend to provide" GPUs/accelerators — incumbent-leader positioning.

来源:sec.gov

快速追随者

The FY2025 10-K itself places AMD behind the pace-setter in its two most important markets: 'Our principal competitor in the supply of discrete graphics is Nvidia, who is the discrete GPU market share leader,' and the risk factors state Nvidia 'leverages its market position in data center GPU, financial resources, and proprietary software ecosystem to promote its systems and influences customers who do business with us.' AMD is nonetheless executing 'an annual cadence of leadership for AMD Instinct solutions' and has won gigawatt-scale commitments (OpenAI, 6 GW) — following fast and closely, not setting the pace.

来源:sec.gov

定价权 中等

The n-1 node advantage the filing describes lets Credo price against competitors from a lower cost base, but the same filing discloses two customers at 10% or more of revenue and a top-10 concentration near 90%, which is buyer leverage working the other way.

来源:sec.gov

强

FY2026 gross margin was 71.1% (75.0% in FY2025); per the 10-K MD&A the ~3.9pt decline reflects the Hopper HGX→Blackwell full-system mix shift and a one-time $4.5B H20 excess-inventory/purchase-obligation charge, not competitive price erosion. A low-70s% hardware gross margin evidences strong pricing power.

来源:sec.gov

中等

FY2025 gross margin was 50%, up from 49% in 2024 per the 10-K — healthy and improving — but the same filing attributes average-selling-price pressure to competitors: Intel 'uses its microprocessor market position to price its products aggressively and target our customers and channel partners with special incentives. These aggressive activities have reduced and may reduce our unit sales and average selling prices for many of our products'. Pricing power is real but contested.

来源:sec.gov

综述

Credo's durable asset is its own SerDes and DSP silicon, which the 10-K says reaches 'similar performance to leading competitors' products but at a lower cost and more highly available legacy node (n-1 advantage)'. That cost-and-supply edge, plus a portfolio the company believes is the industry's only complete high-performance connectivity suite, is what holds a position against far larger rivals — and it is held with roughly 90% of revenue coming from ten customers.

NVIDIA 将市场领先的加速计算硬件(Blackwell 数据中心平台)与专有的全栈软件护城河——CUDA 加上数百个领域库——结合起来,由累计 $76.7B 的研发投入支撑;其 "large and growing number of developers and installed base... strengthens our ecosystem and increases the value of our platform for our customers"(FY2026 10-K)。来自 AMD、Intel 与 Huawei 的竞争正在加剧,超大规模云厂商(Alphabet、Amazon、Microsoft)也在自研 AI 芯片,但竞争者必须先跨越 NVIDIA 根深蒂固的 CUDA 软件生态系统才能取而代之。

AMD's edge is architectural design IP executed on someone else's fabs. The FY2025 10-K describes a full-stack portfolio — EPYC server CPUs, Instinct AI accelerators, Ryzen client parts where 'AMD was the first company to integrate a dedicated neural processing unit (NPU) on the same SoC as an x86 CPU for AI PCs,' Radeon graphics, Pensando networking and Versal adaptive SoCs — backed by roughly 18,900 patent matters worldwide, and it discloses gigawatt-scale customer commitments (an October 2025 agreement with OpenAI 'to deploy 6 gigawatts of AMD GPUs,' first gigawatt on Instinct MI450). The same filing bounds that moat: Nvidia is 'the discrete GPU market share leader' and 'leverages its market position in data center GPU, financial resources, and proprietary software ecosystem'; Intel 'uses its microprocessor market position to price its products aggressively'; Arm architectures and customers who 'internally develop products to support similar AI workloads' are named as encroaching; and every wafer at 7 nm or below comes from TSMC. Revenue grew 34% in FY2025 with Data Center up 32%, but the filing's own competitive framing places AMD in the challenger seat rather than the entrenched one.

产业链位置

Upstream interconnect supplier: SerDes/DSP silicon and active cables sitting between accelerators, switches and optics inside AI data centers.

Upstream compute-platform supplier: NVIDIA sells full-stack data-center systems (GPU + Arm CPU + DPU + NVLink/InfiniBand networking + CUDA software) to cloud providers and enterprises, and relies on third-party foundry/assembly-test-packaging partners (e.g., SPIL, Amkor, Wistron, Fabrinet). Per the FY2026 10-K, several of its largest customers (hyperscalers such as Amazon, Alphabet, Microsoft) are simultaneously customers and emerging competitors developing internal accelerated-computing silicon.

A fabless merchant-silicon designer sitting one layer above the foundries: the FY2025 10-K states AMD relies on TSMC 'for the production of all wafers for microprocessor and GPU products at 7 nanometer (nm) or smaller nodes' and primarily on GLOBALFOUNDRIES above 7 nm, with packaging and test performed by Asia-Pacific ATMP partners — so its cost, supply and cadence are inherited from partners it does not control.

产品(份额 / 壁垒)
  • CUDA accelerated-computing software platform (CUDA-X, NVIDIA AI Enterprise) 领先 · 深 来源:sec.gov
  • Data Center AI accelerators (GPU — Blackwell/Hopper) 领先 · 深 来源:sec.gov
  • Data-center networking / interconnect (NVLink, InfiniBand, Spectrum Ethernet, DPUs) 前三 · 中等 来源:sec.gov
长周期投票 +0.13 权重 0.20 · 群体判断 neutral

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