Amazon, Marvell, Google Challenge NVIDIA: Is $180 a Buy or Sell?
Recently, $NVIDIA(NVDA)$ hasn’t had an easy time. In addition to last month’s impact from $Alphabet(GOOG)$’s TPU, $Amazon.com(AMZN)$ yesterday announced a new in-house AI chip, which it claims is more cost-effective than Nvidia’s.
$Marvell Technology(MRVL)$ jumped nearly 10% after reporting announcing a $3.25B acquisition of AI-chip startup Celestial AI. This move pushes Marvell another step closer toward becoming a viable Nvidia alternative.
1. “Three-way battle”: Nvidia vs. Google TPU vs. Amazon AWS (Trainium)
Nvidia has established a nearly unshakable de-facto standard with its GPU hardware + CUDA ecosystem.
Google, through its self-developed TPU chips, has achieved extreme vertical integration for AI workloads. TPUs primarily serve Google’s own large models (such as Gemini) and remain a key strategic asset in maintaining their AI leadership.
AWS focuses on cost-performance through in-house chips, aiming to provide customers with more economical AI compute options on the cloud.
2. How institutions view Amazon’s AI chips — Is Amazon undervalued?
Citi target price: $320
Based on 33x 2027E GAAP EPS ($9.68)
EV/EBITDA = 13x, below the 10-year median of 18x → Citi sees the market undervaluing AMZN
Trainium ecosystem: more powerful, faster, larger scale. Over 1 million Trainium chips deployed. Trainium2 is AWS’s fastest-ramping AI chip ever, producing chips 4× faster than the previous generation.
Morgan Stanley Rating: Overweight/Price target: $315 (~35% upside)
Views re:Invent 2025 as delivering major updates across GPUs, Trainium, and agent platforms.
Expects AWS to maintain low- to mid-20% growth in 2026–2027.
Competition intensifies: Marvell challenges Nvidia & Broadcom
Marvell will acquire Celestial AI for up to $5.5B, aiming to absorb its leading photonic interconnect platform and strengthen its position in AI data-center connectivity. Amazon also provided warrant support to the deal.
Between Broadcom’s ASIC order wins and now Marvell’s acquisition, the market is questioning:
Can Nvidia still maintain its revenue trajectory next year?
Worse yet: OpenAI turbulence adds another layer of uncertainty
OpenAI’s CEO reportedly issued an internal “red alert” yesterday:
Google Gemini 3 poses a serious threat to ChatGPT
Cash-flow problems may mean OpenAI faces another funding crunch
Nvidia itself may be fine, but the ecosystem it relies on faces three major risks:
$150B+ debt from ORCL / CRWV / NBIS
Long-term CUDA ecosystem pressure from Google & Amazon
OpenAI cash-flow shortage, jeopardizing demand
Back in September, Nvidia announced a $100B investment in OpenAI, and both parties announced a $500B collaboration. In October, SoftBank injected $22.5B more.
But yesterday Nvidia’s CFO admitted: The highly publicized “$100B investment” is still only at the MOU stage, not finalized.
Meanwhile, Anthropic is rumored to be preparing for an IPO as early as 2026.
Some in the market believe NVDA may fall to the $155 support level.
So how do you view the current three-way chip war?
Are chip rivals steadily siphoning Nvidia’s revenue?
Should you sell at 180 or hold? Buy the rising stars?
Leave your comments to win tiger coins~
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I also think Amazon’s AI chip progress is still undervalued. With over a million Trainium units deployed and Trainium2 ramping fast, AWS is positioning itself as a major alternative. Combined with Marvell’s photonics move and Broadcom’s ASIC wins, the industry is clearly shifting toward more diversified AI compute.
At $180, I’m not selling Nvidia. The OpenAI noise and the MOU headlines may weaken sentiment, but long-term demand for enterprise AI and inference remains strong. I’d hold NVDA while considering AMZN or MRVL $Marvell Technology(MRVL)$ for broader exposure to the rising players in the AI stack.
@Tiger_comments @TigerStars
Despite growing competition from AMZN, MRVL, and GOOG, NVIDIA remains dominant in AI, particularly in training large models, autonomous driving, and data centers, and continues to lead AI-driven data center demand and enterprise applications
Selling NVDA at $180 may be reasonable, while holding is ideal for those confident in its continued AI and data center dominance, and buying rising stars like AMZN or MRVL could be worthwhile long-term despite their smaller scale
The chip war is long-term, with rivals emerging, but NVDA maintains a strong edge, so whether to buy, sell, or hold at $180 depends on its future in AI and data centers, with holding ideal if NVIDIA leads and diversifying into rivals a move if competition grows。。。
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@Huat99
@Snowwhite
1. While there is an ai chip war, nvda’s cuda is the dominant Gpu in this war
2. Nvda’s revenue is growing not shrinking
3. $180 is a buy not a sell, there aren’t many other ai stocks
$Marvell技術(MRVL)$大漲近10%在報道宣佈$3.25 B收購人工智能芯片初創公司Celestial AI這一舉措使Marvell離成爲一家可行的公司又近了一步英偉達替代方案.
$Marvell技術(MRVL)$大漲近10%在報道宣佈$3.25 B收購人工智能芯片初創公司Celestial AI這一舉措使Marvell離成爲一家可行的公司又近了一步英偉達替代方案.
Is Nvidia still a Buy at USD 180?
I believe it is a great buy because:
Nvidia's proprietary CUDA software platform remains the industry standard for AI developers, creating a powerful ecosystem that competitors have struggled to replace.
Nvidia has recently reported robust growth numbers, with demand for its data center GPUs continuing to exceed supply.
CEO Jensen Huang said Blackwell sales are off the charts and cloud GPUs are sold out.
I still believe in Nvidia's long term growth. The AI revolution is set to take off & Nvidia remains the best positioned player to lead it.
@Tiger_comments @TigerStars @Tiger_SG @TigerClub @CaptainTiger
This circular funding (with constant expectations - that looks like borderline begging - of further input from overly eager and naive investors) literally creates an AI bubble waiting to pop if one player goes down, and we know it is not only OpenAI that nvda is relying in for further growth. The AI chips are starting to look like gambling chips where everyone is pushing them around and fueling an unsavoury habit.
但这种“蚕食” 不像是彻底夺走主流市场，更像是“分流 挤压边缘 ，和拿下非核心 / 次主流市场”。
谷歌，通過其自研的TPU芯片，實現了面向AI工作負載的極致垂直整合。TPU主要服務於谷歌自己的大模型（如Gemini），並且仍然是保持其人工智能領導地位的關鍵戰略資產。
AWS通過內部芯片專注於性價比，旨在爲客戶提供更經濟的雲計算選擇。
“Three-way battle”: Nvidia vs. Google TPU vs. Amazon AWS