AMD Breaks $300, Google Launches New TPU: Is NVIDIA Still Buyable?
Yesterday, $Advanced Micro Devices(AMD)$ surged 7%, finally reaching the much-anticipated $300 level. $Alphabet(GOOG)$ also rose 2% to $337, while $NVIDIA(NVDA)$ held strong, closing above $200.
As the broader market rebounds, the AI theme is flourishing across the board — but some are starting to question NVIDIA’s leadership position.
AMD breaks $300: will AMD be the next NVIDIA?
Why Is the Market Re-rating AMD?
CPU is back in focus. In the era of Agentic AI, task scheduling, state management, and I/O control flows are making CPUs central to the data center again, no longer just a supporting role for GPUs.
At the same time, AMD’s Instinct GPUs can continue to absorb spillover demand outside of NVIDIA.
Companies with a single-line narrative can only capture one opportunity. AMD is capturing both: CPU resurgence + GPU overflow demand.
Google has introduced TPU 8t (training) and TPU 8i (inference): splitting training and inference for the first time
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TPU 8t: 2.8x performance at the same cost, +124% performance per watt; Supports up to 9,600 chips in a supercomputing cluster
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TPU 8i: +80% performance; 384MB on-chip SRAM (3x previous generation); Optimized for low-latency multi-agent inference
Google split the architecture because training needs throughput and inference needs low latency
Direct challenge to NVIDIA’s core narrative
Just last week, UBS argued that GPU architecture flexibility is NVIDIA’s moat. Today, Google is effectively saying: Specialized chips are more efficient than general-purpose GPUs
If specialized chips begin to systematically outperform GPUs, how long can NVIDIA’s moat still hold?
But anyway, AI hype is still there. In addition to the three giants, we can also look at these companies.
Key Questions
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Do you think NVIDIA can still break to new highs?
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Tesla’s latest earnings show capex up 25% — can AI infrastructure spending continue to support the AI rally?
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After AMD breaks $300, is this the start of a new bull market?
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Which AI beneficiary company do you favor?
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Leave your comments to win at least 5 tiger coins!
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On $Advanced Micro Devices(AMD)$ breaking $300, the re-rating feels justified but partly narrative-driven. AMD now captures both CPU resurgence and GPU spillover demand, which is powerful—but expectations are rising quickly. I see this as early-stage AI infrastructure upside, though I wouldn’t chase after now.
For AI rally, capex trends like from $Tesla Motors(TSLA)$ are the key signal. As long as hyperscalers keep investing, demand stays intact. I’m more focused on second-derivative beneficiaries in networking, memory & opticals, where the next layer of alpha may emerge.
@Tiger_comments @TigerClub @TigerStars
NVIDIA and the broader AI sector continue to show strong momentum as of April 2026, supported by massive capital expenditures (capex) from tech giants.
Yes, most analysts believe NVIDIA can break to new highs.
Price Targets: The current Average Analyst Consensus for 2026 is approximately $256, with bullish estimates reaching $300–$350.
Growth Drivers: Demand for Blackwell and the next-generation
Rubin GPUs remains intense, with visibility into $1 trillion in data centre sales through 2027.
Valuation: While the stock is trading near all-time highs (around $200), its forward price-to-earnings (P/E) ratio has compressed as earnings growth outpaces share price gains.
Tesla’s latest Q1 2026 earnings report confirmed a massive pivot toward AI.
Capex Surge: Tesla raised its 2026 capex guidance to over $25 billion (up from a previous $20 billion estimate), representing nearly triple its 2025 spending.
Tesla capex +25%: Supports the AI narrative, but it is company-specific. Core support still comes from cloud giants, not Tesla alone.
Advanced Micro Devices > $300: More a re-rating within an existing cycle than a fresh bull market. Need broader sector participation to confirm a new phase.
Preferred AI beneficiary:
Core: Nvidia
Asymmetric upside: Micron Technology
Balanced: Taiwan Semiconductor Manufacturing Company
Conclusion: AI rally intact, but now execution-driven with tighter risk/reward.
AMD breaking $300 is the "definitive signal" for a new semiconductor bull market. This breakout suggests that the AI trade is "broadening out" beyond Nvidia to secondary winners. Crossing this psychological and technical barrier confirms "institutional accumulation," indicating that the market now views AMD as a high-conviction alternative in the enterprise AI space.
Its shares have surged about 18% in the last 10 days, reclaiming the USD 200 level for the first time in 6 months.
Why new highs are likely?
The USD 1 Trillion Roadmap : At GTC 2026, CEO Jensen Huang projected USD 1 Trillion in cumulative revenue through 2027, driven by the Blackwell & upcoming Vera Rubin architectures.
Next Gen Launch - Vera Rubin: Slated for 2nd half of 2026, the Rubin platform is expected to deliver 10x more performance per watt than the current Blackwell chips, addressing the primary constraint of power in data centers.
Inference Leadership: The acquisition of Grock Inc & the launch of the Groq LPX inference accelerator has widen Nvidia's lead in Agentic AI.
Nvidia is trading at 19x forward EBITDA, cheaper than AMD's 38x, suggesting it maybe undervalued relative to its growth.
@Tiger_comments @TigerStars @Tiger_SG
I favor "Intel" (INTC) for today’s trade. While Nvidia and AMD handle the design, Intel's "foundry expansion" and its recent Q1 earnings beat make it the best "value-recovery play" in the sector. With the stock jumping 19% after-hours, it offers the highest "immediate momentum" for investors looking to capture the next leg of the AI infrastructure cycle.
The surge in Tesla's capex confirms that AI infrastructure spending is "accelerating, not slowing." This 25% increase proves that even companies outside of pure software are "all-in" on compute power. This aggressive spending will continue to support the AI rally because it represents a "structural shift" in corporate investment that prioritizes long-term efficiency over short-term margins.
Yes, Nvidia will likely break to "new record highs" this session. Its dominance in the AI data center market remains unchallenged, and the massive capital expenditure cycles from Big Tech provide a "guaranteed revenue floor" for the coming quarters. As long as supply chain constraints ease, the stock has clear "blue sky potential" beyond previous resistance levels.
2. Tesla’s future earnings are driven by innovation which can continue. Ai spend at Tesla is less
3. Amd price appreciation is driven by higher costs for technology
TPU 8t: 2.8x performance at the same cost, +124% performance per watt; Supports up to 9,600 chips in a supercomputing cluster
TPU 8i: +80% performance; 384MB on-chip SRAM (3x previous generation); Optimized for low-latency multi-agent inference
At the same time, AMD’s Instinct GPUs can continue to absorb spillover demand outside of NVIDIA.
Companies with a single-line narrative can only capture one opportunity. AMD is capturing both: CPU resurgence + GPU overflow demand.