Optics Is Now AI's Next Bottleneck: LITE vs. COHR—A Full, Side-by-Side Showdown NVIDIA spent $4 billion yesterday to take stakes in two leading optical-communications players—an effort to pre-book critical upstream capacity for the next-generation AI compute architecture era of “optical interconnect.”  After the announcement, both stocks kept climbing at elevated levels, jumping more than 10%, suggesting the market is repricing “upstream component tightness + long-term volume lock-in.” Securing Lasers, InP, and U.S. Onshore Capacity What NVIDIA is betting on isn't the largest (and lower-barrier) part of today's optics market—optical modules—but rather more upstream, more critical, and geopolitically lower-risk U.S.-based optical source and component capacity, with a focus on lasers an

Base on the research "If you’re a long-term investor: • Bullish thesis: Nvidia remains central to AI infrastructure growth — vertical moves like photonics can deepen its moat and pay off over years. • Risk note: Requires patience; near-term stock moves can be volatile. If you’re a short-term trader: • Treat low price points with caution — the stock can swing with earnings, macro data, or exogenous events (like geopolitical news). Timing matters more here. If you’re super risk-averse: • Waiting for more earnings data/testing of near-term demand might be safer than jumping in immediately.

$NVIDIA(NVDA)$ NVIDIA just dropped a bombshell with a massive $4 billion investment, pumping $2 billion each into optical powerhouses Coherent and Lumentum. This isn't your average cash splash – it's a calculated masterstroke to dominate the future of AI data centers. By securing equity stakes and long-term supply deals, NVIDIA is essentially future-proofing its tech empire, grabbing exclusive access to cutting-edge Co-Packaged Optics (CPO) tech that's set to revolutionize high-speed data transfer in massive AI clusters from 2027 to 2030. 🌐🔒 Picture this: As AI demands skyrocket, traditional copper connections hit a wall with power-hungry inefficiencies. Enter CPO – integrating optics right onto chips for lightning-fast, energy-efficient networkin

Why CPO matters AI scaling is no longer compute-bound alone. It is interconnect-bound. As clusters move from tens of thousands to millions of GPUs, copper becomes a bottleneck in: Power consumption Latency Signal integrity CPO reduces power per bit and enables denser rack-scale designs. If NVIDIA controls optical capacity into 2027–2030, it protects the next scaling phase of Blackwell successors. Is there a “second curve”? The first curve was training acceleration. The second curve is likely: 1. Inference at planetary scale 2. Network dominance via NVLink + optical fabric 3. Full-stack integration from silicon to system to interconnect If NVIDIA owns the fabric layer, it widens the moat beyond GPUs. Valuation question A trillion-dollar valuation requires: Sustained data centre revenue grow

$NVIDIA(NVDA)$   $Tempus AI(TEM)$   Key Points For Buying Tempus (TEM) : Tempus AI is framed as deeply discounted versus analyst targets, with improving margins and guidance supporting a rebound setup. The quarter showed strong reported growth and durable retention, with narrowing losses and an improving profitability trajectory. Analyst sentiment and institutional buying are portrayed as supportive, while debt and short interest remain the main risks. Special Report: The $7.5 Trillion Trump Bombshell No One's Ready For (From Banyan Hill Publishing) Tempus AI (NASDAQ: TEM) appears to be a smart buy for tech traders as it is a leading p

trading Nvdl since July 2025 enabled me to achieve 60% Roi /yr. hoping to continue the huat ride in 2026!

$NVIDIA(NVDA)$ Nvidia's prepping for its GTC extravaganza next month, teasing a groundbreaking inference chip that fuses Groq's LPU design with the next-gen Feynman architecture – this beast integrates SRAM for lightning-fast memory access and 3D stacking to cram 2x performance in half the space, slashing latency bottlenecks for large-model AI workloads that demand real-time efficiency. 😤 With OpenAI committing to massive purchases and investments to fuel GPT upgrades, and Meta ramping large-scale CPU-based deployments for Reels and ad personalization, this shift from training-heavy hype to inference dominance could redefine the AI landscape. But as NVDA shares hover near $141 after volatility, is GTC the catalyst blasting to $200 highs on $215B F

I believer Nvida still the AI leader and will continue to grow

This GTC feels structurally different from past ones because the narrative is no longer “more training compute”, but economics of inference. Markets will likely react to proof of monetisation, not just technological ambition. Why GTC could be a catalyst 1. Inference is the larger TAM Training is episodic; inference is continuous. If Nvidia demonstrates meaningful latency and cost-per-token improvements via SRAM + 3D stacking, it reinforces NVDA as the toll collector of everyday AI usage, not just model creation. 2. Architecture transition matters A Feynman-class inference chip signals Nvidia defending against specialised challengers (Groq, custom ASICs, hyperscaler silicon). Integration rather than displacement strengthens ecosystem lock-in. 3. Customer validation OpenAI purchase commitmen

Patience to continue wait as geopolitical tensions are driving significant global economic uncertainty.

N gives money to O. N announced new chip. O buy N new chip with money from N. N declare new sales growth, higher profit.. Repeat quarterly for higher valuation. [Happy]  

Nvidia Wipes Out $270B in 24 Hours: Generational Dip Buy or the Crack in the AI Supercycle? Nvidia (NVDA) just experienced a violent reality check, plunging over 5% and vaporizing roughly $270 billion in market capitalization overnight. To put that into perspective, the market just erased the equivalent of Netflix’s entire valuation in a single trading session. The catalyst wasn’t a single fatal blow, but a toxic trifecta: the delayed rollout of the much-anticipated Blackwell architecture, mounting anxieties over the sustainability of hyperscaler AI spending, and the creeping threat of custom silicon eating into market share. While Wall Street analysts are rushing to defend the long-term thesis, active traders are staring at a massive inflection point. Is this the ultimate "buy the blood"

Congratulations once again on @Joshhsh -Justin's successful trading endeavors! 🎉The following are Justin's answers to questions from TigerBrokers' emails. We appreciate Justin's thoughtful and earnest sharing, and hope it will be helpful to our fellow investors.If you are interested in being interviewed, please leave a comment below. If your answer is used and published, we will provide an incentive of SGD150.Part 1: Getting Started — The Beginning of the JourneyMy name is Justin. Professionally, I work in risk and governance — so naturally, I’ve always been fascinated by how uncertainty is measured, priced, and managed.I’ve been investing for about 10 years now. What started as a simple desire to grow my savings slowly evolved into

Short answer: yes, the pullback likely creates tactical upside, but only if you separate execution risk (short term) from structural demand risk (long term). Right now, the market is repricing the former, not yet the latter. --- 1. Why the market reacted so sharply The selloff reflects a shift from perfect-execution expectations to normal semiconductor execution risk: a) Blackwell rollout delay Nvidia was priced for flawless transition from Hopper → Blackwell. Any delay compresses near-term revenue recognition and pushes hyperscaler deployments slightly outward. Markets discount timing aggressively even if demand remains intact. b) AI capex sustainability fears Investors are questioning whether hyperscalers move from “capacity land-grab” to ROI discipline in 2026. This is a sentiment risk,

What a retarded time for me to make my initial NVIDIA investment (2 days ago)

Despite the plunge, am still optimistic as Nvidia has strong fundamental.

$NVIDIA(NVDA)$ s earnings report exceeded expectations again, but its stock price fell sharply by over 5%.These past 2 days, Nvidia's earnings report has once again taught all options traders a lesson: earnings significantly exceeded expectations, causing a surge in after-hours trading, but the next day it plummeted 5.7%, wiping out nearly a trillion dollars in market capitalization overnight.This kind of "good news priced in, surge followed by a fall" pattern is a classic example of a double whammy in the options market—bulls get trapped, and puts may not even profit; once volatility recedes, both contracts plummet.Since August 2024, every earnings report seems to be followed by a period of decline.I've experienced this market pattern all too wel

The sell-off looks less like a thesis break and more like a valuation reset meeting execution uncertainty. Whether it creates upside depends on time horizon. 1. Why the market reacted sharply Blackwell timing risk: Delays matter because Nvidia’s valuation assumes uninterrupted upgrade cycles. Any slip compresses near-term revenue visibility. AI capex durability fears: Markets are shifting from “build at any cost” to ROI scrutiny. Hyperscalers are still spending, but investors now question growth acceleration, not growth itself. Custom silicon narrative: ASICs from hyperscalers (TPU-like designs) create headline risk, though they typically complement rather than replace Nvidia’s ecosystem. 2. Have risks been addressed? Partially Management commentary and channel checks suggest demand is not

U.S. equities mostly slipped into the red on Thursday (26 Feb), with $NVIDIA(NVDA)$’s sharp post‑earnings reversal weighing heavily on sentiment. Despite delivering yet another impressive earnings and revenue beat—along with upbeat forward guidance—the tech gNvidia 3x Short DLC jumped about 16%, while the Nvidia 3x Long DLC declined by a similar amount. Nvidia's selloff spilled over to other tech names, dragging the $NASDAQ 100(NDX)$ down 1.2% Tracking the underlying moves, the Nasdaq 7x Short DLC surged nearly 8%, while the Nasdaq 7x long DLC fell a similar magnitude. After the closing bell, $Netflix(NFLX)$ surged almost 10% in post-market trading after announcin