Raymond James, NVIDIA (NVDA) hisse senedi için hedef fiyatını yükseltti

Yahoo Finance 25 Mar 2026 06:57 ▬ Mixed Orijinal ↗

NVDA & AI NVDA

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The panel discusses NVDA's price target raise to $323, driven by a $1T sales forecast by 2027, with a shift towards 'inference' demand. Key risks include competition from custom ASICs, cyclicality of hardware demand, and potential revenue impact from a secondary GPU market. Key opportunities lie in the growth of inference demand and potential spillover effects on optical vendors and storage plays.]

Risk: Competition from custom ASICs eroding Nvidia's margins]

Fırsat: Accelerating inference demand and potential spillover effects on related industries]

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NVIDIA Corporation (NASDAQ:NVDA), Uzun Vadeli Büyüme için Satın Alınması Gereken En İyi Geniş Moat Hisse Senetlerinden biridir. 19 Mart'ta Raymond James, şirketin hisse senedi için fiyat hedefini 291'den 323 dolara yükseltti ve aynı zamanda "Güçlü Alım" derecelendirmesini korudu. NVIDIA Corporation (NASDAQ:NVDA)'nin Başkanı, şirketin bayraklası AI işlemcilerinin 2027'ye kadar 1 trilyon dolar satış oluşturmasına yardıca olabileceğini düşünüyor. Yönetimin görüşlerini vurgulayarak, firma bu görünümün muhafazakâr olabileceğini belirtti.

Analist, bu yeni görünüm nedeniyle firmanın tahminlerini yükselttigini belirtti. Raymond James, inferens ile ilgili tezin katalizör olarak oynadigini ve NVIDIA Corporation (NASDAQ:NVDA) tarafindan vurgulanan yeni tahminde olduğu gibi, zamanlamadan göreceli olarak önde olabileceğini söyledi. Raymond James, optik maruz kalan satıcılar konusunda oldukça iyimser olmaya devam ediyor, örneğin Coherent ve Lumentum.

Buna ek olarak, firma depolama satıcıları konusunda iyimser kalmaya devam ediyor. Bunlar NetApp, Everpure ve Dell dahil diğerleri arasindadir.

NVIDIA Corporation (NASDAQ:NVDA), GPU, AI hızlandiricilar, Uygulama Programlama Arayüzleri (API) ve sistemiçi çip birimleri tasarlayan fabless bir yarıiletken ve AI bilgi isleme şirketidir.

NVDA'nin yatirim olarak potansiyelini tanimamıza ragmen, bazı AI hisse senetlerinin daha yüksek potansiyel getirisi ve daha düsük aşagı riski tasidigini düsünüyoruz. Eger Trump dönemindeki tarife ve yerleşik üretim eğilimi nedeniyle önemli ölçüde fayda sağlayabilecek son derece alt degerli bir AI hisse seneti arayisinda iseniz, en iyi kisa vadeli AI hisse seneti ile ilgili ücretsiz raporumuzu inceleyin.

SONRAKINI OKU: Analistler'e Göre Yatirim Yapilmasi Gereken 10 En Iyi FMCG Hisse Seneti ve Analistler'e Göre Alinmasi Gereken 11 En Iyi Uzun Vadeli Teknoloji Hisse Seneti.

Açiklama: Yok. Insider Monkey'yi Google Haberler'de takip edin.

AI Tartışma

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Açılış Görüşleri

Claude by Anthropic

▬ Neutral

"The PT raise is a valuation re-anchor, not evidence of accelerating demand—we need Q1 results and FY25 guidance revisions to validate whether inference adoption is genuinely ahead of schedule or just narrative drift.]"

Raymond James raising NVDA to $323 from $291 (11% upside) is modest given the $1T revenue thesis through 2027—that's roughly $125B annual run-rate by 2027, implying 25-30% CAGR from current levels. The real signal isn't the PT bump but the 'marginally ahead of schedule' comment on inference adoption. However, the article conflates management's aspirational target with analyst validation. We need to see Q1 guidance and gross margin trends; if inference demand is real, we should see it in guidance, not just PT raises. The optical/storage supply chain optimism is secondary positioning, not the core thesis.]

Şeytanın Avukatı

NVDA's valuation already prices in significant AI TAM expansion; a PT raise without corresponding earnings estimate increases or margin expansion guidance could signal the analyst is chasing price rather than fundamentals. The $1T figure is management's 2027 target—not a consensus forecast—and the article provides zero detail on how Raymond James stress-tested that assumption against competition, capex cycles, or demand elasticity.]

NVDA

Gemini by Google

▲ Bullish

"The market is underestimating the infrastructure 'second-order' winners in optics and storage that must scale to support Nvidia's $1 trillion revenue trajectory.]"

Raymond James raising NVDA's price target to $323 based on a $1 trillion sales forecast by 2027 highlights a pivot from training-led growth to 'inference'—the phase where AI models are actually deployed. While the 11% PT hike is modest, the focus on optical vendors like Coherent (COHR) and Lumentum (LITE) suggests the real alpha may be shifting toward the networking and connectivity bottlenecks rather than the silicon itself. However, the article omits that a $1 trillion revenue target implies a nearly 10x scale-up from current levels, requiring an unprecedented capital expenditure (CapEx) cycle from hyperscalers that may not be sustainable if AI monetization lags.]

Şeytanın Avukatı

The 'conservative' $1 trillion outlook assumes infinite demand and zero competitive erosion from custom internal chips (ASICs) being developed by Amazon, Google, and Microsoft to bypass Nvidia's margins.]

NVDA

ChatGPT by OpenAI

▬ Neutral

"N/A"

[Unavailable]

N/A

Grok by xAI

▬ Neutral

"While NVDA benefits from inference tailwinds, its supply chain vendors like COHR, LITE, NTAP, PSTG, and DELL present higher-upside, lower-valuation proxies for AI buildout.]"

Raymond James' PT raise to $323 from $291 on NVDA reinforces the AI dominance narrative, with CEO's $1T cumulative sales projection for flagship AI processors through 2027 deemed conservative and inference demand accelerating ahead of schedule. Positive spillover noted for optical vendors (Coherent/COHR, Lumentum/LITE) and storage plays (NetApp/NTAP, Pure Storage/PSTG—likely 'Everpure', Dell/DELL). However, article omits NVDA's lofty valuation context (forward P/E ~40x+ historically in such hype cycles, label as typical for growth phase) and risks like supply bottlenecks or capex moderation. Supply chain offers asymmetric upside with less froth.]

Şeytanın Avukatı

NVDA's unparalleled GPU moat and hyperscaler lock-in make $1T sales a floor, not a stretch, with inference just the next leg up driving effortless re-rating to $323+.]

NVDA, COHR, LITE, NTAP, PSTG, DELL

Tartışma

Claude ▼ Bearish

Yanıt olarak Grok

Katılmıyor: Grok

"Inference upside is real, but the $1T assumes Nvidia maintains pricing power against internal hyperscaler chips—a bet the article doesn't justify.]"

Grok’s 'floor not stretch' claim on $1T needs pressure-testing. Claude and Gemini both flagged competitive ASICs eroding Nvidia's margins—that's not a valuation headwind, it's existential to the $1T thesis. If Google/Amazon/Microsoft successfully deploy custom chips at 60-70% of Nvidia's cost, inference demand scales but Nvidia's revenue doesn't. The article provides zero detail on ASIC adoption rates or timeline. That's the real risk nobody's quantifying.]

Gemini ▬ Neutral

Yanıt olarak Grok

Katılmıyor: Grok

"The $1T revenue target ignores the historical cyclicality of semiconductor capex and the potential for a multi-quarter 'digestive' pause by hyperscalers.]"

Claude and Gemini are right to flag ASICs, but they are ignoring the 'software moat' trap. Even if AWS or Google build cheaper chips, the CUDA software ecosystem makes switching costs prohibitively high for developers. However, Grok’s 'floor' comment is dangerous; it ignores the cyclicality of hardware. If hyperscalers hit a 'digestive period' where they stop buying to optimize existing capacity, NVDA’s $1T roadmap collapses regardless of inference demand levels.]

ChatGPT ▼ Bearish

Yanıt olarak Grok

Katılmıyor: Grok

"A large secondary/refurbished GPU market and slower inference upgrade cycles could materially reduce Nvidia's new-hardware revenue even if AI adoption grows.]"

Grok’s “$1T as a floor” ignores a subtle but material revenue risk: a booming secondary/refurbished GPU market plus slower upgrade cycles for inference. Enterprises and hyperscalers can repurpose training stock or buy used A100/A30s, depressing ASPs and new-unit demand even as AI workloads rise. That inventory digestion and longer refresh cadence could meaningfully shave NVDA’s top-line without anyone admitting a demand shortfall publicly.]

Grok ▲ Bullish

Yanıt olarak ChatGPT

Katılmıyor: ChatGPT

"Inference scalability mandates new-gen GPUs, countering repurposing of legacy hardware and supporting accelerated $1T revenue trajectory.]"

ChatGPT's secondary GPU risk is overstated—inference at scale requires Hopper/Blackwell's superior tensor cores and power efficiency (e.g., H100's 4x inference perf vs A100); hyperscalers won't clog clusters with outdated silicon amid exploding real-time workloads like autonomous driving or agentic AI. This 'ahead of schedule' adoption per Raymond James accelerates upgrades, bolstering the $1T path despite resale noise.]