$NVDA$   Enflame, which is backed by tech giant Tencent, is considered one of China's so-called "four little dragons" of AI chipmaking and is the last of that group to go public. The other three all surged on listing, and have remained higher since. In December, MetaX soared nearly 700% on its first day of trading, while Moore Threads gained over 400% on its trading debut. Biren jumped 76% on its IPO in January. Investors are betting on the ability of domestic AI chipmakers to replace Nvidia in China. International chipmakers led by Nvidia accounted for nearly 60% of China's AI accelerator market in 2025, according to IDC data cited in Enflame's prospectus, translated by CNBC. Nvidia

🌟🌟🌟The market is currently walking a tightrope & Friday's looming inflation data is the ultimate wild card.  If the inflation numbers come in hot, the broader market will likely face a sharp interest rate panic.  This may hit high beta technology & semiconductor stocks the hardest. The storage sector is already showing signs of a fierce tug of war.  For example, while Wall Street remains euphoric, the CEO of flash memory giant $KIOXIA HLDGS CORP(KXIAY)$ openly warned that prices have risen high enough which may cap short term upside. My strategy to play the storage surge: I would let the inflation data digest over the weekend so that I

For me, a US$638 billion backlog is impressive—but a backlog is only a promise until it becomes revenue, cash flow and ultimately free cash flow. Tonight, I would focus on three things: RPO conversion, AI revenue growth, and cash generation. If Oracle can show that major AI contracts are moving into actual revenue faster than expected, while keeping margins under control, the backlog starts to look like a genuine earnings engine rather than a headline number. The bigger question is capex. Oracle is spending heavily to build AI infrastructure before customers fully pay for it. That creates a dangerous gap if financing costs stay high. So I would not buy simply because the backlog is huge. I want evidence that AI demand is converting into cash faster than Oracle is converting cash into data

For me, the key is whether $Oracle(ORCL)$ can turn its huge AI backlog into real revenue and cash flow. A $638 billion backlog sounds impressive, but it means little if execution cannot keep up with the capital spending required. I would watch cloud growth, AI demand, contract wins and especially free cash flow. If Oracle shows that AI investments are starting to generate stronger cash returns, I would be more comfortable investing behind the backlog. I also want to see whether management can maintain strong growth without continuously increasing its spending burden. I remain bullish on AI infrastructure long term, but I do not want to chase the story based on backlog alone. I want the numbers to prove it first. If the results are strong, I would

On Wednesday $S&P 500(.SPX)$ closed 0.48 per cent lower, its third session in a row heading down. $Meta Platforms, Inc.(META)$ rose 6.55 per cent the same day to close at US$653.69. The whole market was backing away while one of the largest companies in it put on six and a half points, and those look like two unrelated things. They are one thing. What is holding the indexes down is rates: Brent crude moved back above US$100 for the first time in two months, the inflation print lands on Friday, the ten-year Treasury yield was pushed to 4.85 per cent and the thirty-year broke above 5.30 per cent. The Treasury stepped in that day and raised the cap on its buybacks of ten-

Why did Nvidia slide in the last two days?

While Nvidia’s record quarterly revenue ($96.22bn, +106% YoY) and accelerated Rubin production reaffirm its structural AI dominance, the supply chain market narrative is shifting toward component pricing power. The projected Q4 gross margin dip to 71–72%—driven by soaring HBM and memory component costs—signals that key supply chain partners like memory manufacturers and optical module suppliers are capturing a larger share of the AI hardware value chain. Rather than a late-entry rally for Nvidia itself (which faces near-term margin compression and historic post-earnings sell-offs), the supply chain rally has strong fundamental backing as capex spending converts directly into high-margin revenue for critical memory and packaging vendors.

Despite delivering another record-breaking quarter with $96.221 billion in revenue (+106% YoY) driven by massive data center demand (+117%) and the acceleration of its next-gen Rubin architecture, Nvidia’s post-earnings stock weakness reflects growing margin anxiety and a consistent pattern of post-release sell-offs. High memory component costs are projected to squeeze Nvidia's gross margin down from 75% to a trough of 71%–72% in Q4, signaling that supply chain inflation is temporarily outpacing pricing power. However, this near-term margin pressure on the primary chipmaker directly benefits memory and optical suppliers who are capturing those increased component dollars, creating a classic supply chain rotation. For investors, buying Nvidia right on the earnings headline carries historica

On September 8, 2026, the global semiconductor index staged an aggressive rally, driven by robust macroeconomic labor prints and easing front-end yields. However, major semiconductor constituents exhibited stark structural divergence. While broad networking, foundry, and memory stocks surged, $NVIDIA(NVDA)$ Nvidia Corporation (NVDA) dropped 2.01% to close at $225.73 after touching intraday highs of $233.71. Conversely, $Broadcom(AVGO)$ Broadcom Inc. (AVGO) rose 2.98% to $368.56, while $Micron Technology(MU)$ Micron Technology, Inc. (MU) experienced wild intraday swings—surging over 2% above $1,041 before settling at $1,000.26 (-1.61%). Pre-market action on Septembe

I think the supply-chain rally has further to run, but leadership may shift from Nvidia to the bottlenecks. Nvidia's $96.2bn quarter and 117% Data Center growth confirm that AI infrastructure demand is still accelerating. More importantly, Nvidia's supply commitments have surged to $279bn, primarily for memory. That makes the margin pressure revealing. If scarce memory is expensive enough to compress Nvidia's margins, the same cost pressure can translate into pricing power for memory suppliers. DRAM and HBM demand already exceeds supply, strengthening the case for $MU and $SKHY. Connectivity and optical names can benefit too as ever-larger GPU clusters require more bandwidth. I would therefore avoid chasing the whole basket after an earnings spike. Nvidia has proved the demand story; now I

$NVIDIA(NVDA)$   Nvidia CEO Jensen Huang tipped his hat to OpenAI on Sunday. The chipmaking mogul took to X to congratulate OpenAI's team on the release of the company's newest and most powerful model, Astra, and made the notable statement that "AGI has arrived," a nebulous term that typically describes AI models that match or surpass human intelligence. He also pointed out that Astra was trained on Nvidia's chips. In a lengthy blog post on Sunday, Jakub Pachocki said he was concerned that "no one is prepared for the consequences of a continued rapid rise in machine intelligence." He said that although OpenAI is pursuing internal technical solutions to better control powerful AI agents, "broader interventions ar

Nvidia expects $108b in Q3 revenue and projects FY28 revenue to grow about 70%. Management explicitly said customer forecasts point to demand that could support roughly doubling again next year, but it’s guiding to only about 70% growth because it doesn’t currently have enough supply to satisfy all that demand. The largest company in the world by market cap, already $5.5T, shouldn’t be growing like a young company. But that’s exactly what Nvidia is doing. It has boomed for three years running, and in the latest quarter, revenue grew 106% and earnings jumped 126%. These are numbers you’d expect from a young, fast growing company, not a megacap. Yet here we are. It’s earnings season, and investors are watching AI-related stocks closely, trying to figure out if the AI trade is alive or dying.

Both - NVDA on the trend

I’d pick C — Both, because agentic cybersecurity could create a new AI value chain rather than a winner-takes-all market. NVIDIA sits underneath the ecosystem: more autonomous security agents mean more inference, accelerated computing and potentially recurring demand beyond traditional AI training. CrowdStrike owns the application layer, where successful deployment could translate into deeper Falcon adoption, higher module penetration and stronger ARR. However, I wouldn’t treat SafeMind as an immediate revenue catalyst. The real investment signal will be enterprise customers actually deploying it at scale, trusting AI to take increasingly autonomous actions, and ultimately paying more for the platform. If that happens, NVDA captures the infrastructure upside while CRWD captures the softwa