Anyone investing heavily this year??

How much money did you lose/gain this past week?


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To the traders, question.......

Can you offer some suggestions on how I can learn the skill of trading?

Between Google and YouTube, there is so much information overload.

I need something specific to drown out all the noise.

How did you learn and what tools/info helped you on your journey?

Much appreciated!
 
@Aww Skeet Skeet! Are you invested in Global Founderies (GFS)?

They seem to be doing their own thing, not competing for the AI dollars. They are more focused on military/government, automotive, secure communications and space applications. They got 1.5B of the CHIPS act

I thought I might be indirectly invested with $GFS via SOXX or SMH, but don't think I am. I do know that $GFS was apart of $AMD at one point in time but was spun off because $AMD was close to bankruptcy. $AMD was contractually obligated to use them as a source of silicon but then pivoted to $TSM for the long term.

From what I know about $GFS is that they aren't trying to be a bleeding edge fabricator like $TSM/Samsung/$INTC. I tend to put them in the Texas Instruments ($TXN) category of foundry, but $TXN seems stronger overall.

Interesting. $GFS, a photonics play. 2027 (2028+..?) technology.


"CPO or Co-Packaged Optics (Silicon Photonics) is the next-generation solution that reduces reliance on copper and harnesses light to transfer signals. These CPOs are packaged alongside hardware accelerators such as GPUs and will be a key solution for next-gen AI factories, offering improved interconnect latency and creating high-bandwidth connections between CPU and GPU."
 
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Why Google’s TPU Talks Just Made Marvell Technology a Must-Buy AI Stock​



Tesla stock upgraded, CarMax Q4 earnings disappoint Wall Street

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Rich Duprey
5 min read



Quick Read​

  • Marvell Technology (MRVL) achieved record data center revenue of $1.65B in fiscal 2026 with custom silicon scaling to $1.5B annual run-rate across 18 cloud-provider design wins, while Nvidia (NVDA) invested $2B in a strategic partnership to develop custom XPUs and NVLink-compatible networking, and Google is in active negotiations with Marvell for TPU development and LLM inference chip design services.
  • Hyperscalers deploying custom AI chips to reduce costs has transformed Marvell into a critical supplier positioned inside both Nvidia’s ecosystem and potentially Google’s TPU roadmap, with Bloomberg projecting the company could capture 20-25% of the $118B custom ASIC market by the early 2030s.
  • The analyst who called NVIDIA in 2010 just named his top 10 AI stocks. Get them here FREE.
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Largest Company end of June?​



$5,389,309 Volume

Ends on Jun 30, 2026
NVIDIA89%
Apple5%
Alphabet5%
Amazon<1%



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NVIDIA 48%
Apple 14%
Alphabet 31%
Amazon <1%
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The artificial intelligence boom keeps reshaping semiconductors. Hyperscalers now spend billions of dollars on custom chips to slash costs and lift performance, and the custom ASIC market for AI data centers is projected to reach $118 billion by 2033 at a 27% compound annual growth rate.

In this surge, Marvell Technology (NASDAQ:MRVL) is emerging as a quiet but critical partner. Its data center revenue already hit a record $6.1 billion in fiscal 2026, driven by custom silicon that scaled to a $1.5 billion annual run-rate across 18 cloud-provider design wins. Two fresh deals -- one signed with Nvidia (NASDAQ:NVDA) and one in active talks with Google -- now pull Marvell deeper into the AI ecosystem and give retail investors a clear, data-backed case to consider the stock today.

Google's TPU Negotiations Expand Marvell's Custom-Silicon Pipeline​

FundaAI's report this morning says Google is actively negotiating TPU development projects with Marvell, where the company would act in a design-services role similar to MediaTek's. Discussions also cover a dedicated LLM inference chip optimized for large-language-model workloads.


READ: The analyst who called NVIDIA in 2010 just named his top 10 AI stocks

This comes just days after Google extended its long-term TPU and networking agreement with Broadcom (NASDAQ:AVGO) through 2031. Google is simply diversifying suppliers and tapping Marvell's expertise in high-speed interconnects to optimize cost and performance.

For Marvell, even early-stage talks signal meaningful upside. The company's custom ASIC business already contributes roughly $1.5 billion in annualized revenue today. A Google win would layer on top of existing design wins with Amazon (NASDAQ:AMZN), Microsoft (NASDAQ:MSFT), and four other major clouds. Bloomberg's market-share model gives Marvell a realistic shot at 20% to 25% of the $118 billion ASIC opportunity, which would translate to $23.6 billion to $29.5 billion in annual revenue from this segment alone by the early 2030s. That is more than triple the company's total fiscal 2026 revenue of $8.2 billion.

Nvidia's $2 Billion Investment Locks Marvell Into the AI Factory​

These Google talks build directly on a signed deal announced last month between Nvidia and Marvell that saw Nvidia invest $2 billion in Marvell and form a strategic partnership through NVLink Fusion. Marvell will design custom XPUs and NVLink-compatible scale-up networking that plugs straight into Nvidia's rack-scale AI architecture alongside GPUs, Vera CPUs, NICs, and switches. The two companies are also collaborating on silicon photonics for optical interconnects.


Nvidia called the move an expansion of its AI ecosystem that gives customers more flexibility while keeping Nvidia's interconnect at the center. For Marvell, the $2 billion cash infusion strengthens the balance sheet (the company ended the prior quarter with $2.64 billion in cash) and cements its role as a complementary player rather than a pure competitor. The partnership accelerates Marvell's ramp in AI communications and AI-RAN, markets that analysts already project will drive the bulk of its future growth.

The Numbers Show a Company Built for AI Acceleration​

Marvell's full-year revenue reached a record $8.2 billion, up 42% year-over-year. Data center revenue alone grew 21% in the fourth quarter to $1.65 billion, as adjusted gross margin expanded to 59% and free cash flow for the trailing 12 months stood at $1.4 billion. Trailing earnings came in at $3.07 per share, producing a P/E ratio of 41.7 times. The forward P/E sits under 25 times, generating a deeply discounted PEG ratio of just 0.66.


Compare that to peers. Broadcom, for example, delivered solid AI growth but trades at a higher forward multiple, while Marvell's custom-silicon momentum has outpaced expectations. Revenue growth of 42% in fiscal 2026 beat the broader semiconductor sector's roughly 10% average. Operating leverage is working: GAAP net income for the year hit $2.67 billion.

Granted, risks remain. The Google talks are not yet a signed contract, and the stock's valuation leaves little room for execution slips. Competition from larger players like Broadcom and Nvidia itself is real. That said, Marvell's dual positioning -- inside Nvidia's ecosystem and potentially alongside Google's TPUs -- gives it two distinct paths to capture AI spending.

Key Takeaway​

Both the Nvidia investment and the Google negotiations absorb Marvell deeper into the AI market as a key, critical partner. With fiscal 2026 revenue already up 42% and custom silicon on a clear multi-billion-dollar trajectory, the setup favors long-term holders.


Smart investors can buy Marvell Technology stock now for exposure to the custom-ASIC boom, as the next two quarters should confirm that these design wins convert to revenue. The data supports confidence in Marvell, not speculation.

The analyst who called NVIDIA in 2010 just named his top 10 AI stocks​

Wall Street is pouring billions into AI, but most investors are buying the wrong stocks. The analyst who first identified NVIDIA as a buy back in 2010 — before its 28,000% run — has just pinpointed 10 new AI companies he believes could deliver outsized returns from here. One dominates a $100 billion equipment market. Another is solving the single biggest bottleneck holding back AI data centers. A third is a pure-play on an optical networking market set to quadruple. Most investors haven't heard of half these names. Get the free list of all 10 stocks here.

View Comments (2)
 

Since Sidu Space did another offering today ($58.5 million), I asked Claude what it thought:

The offering history has been relentless. In September 2025, they raised about $9.8M selling shares at $1.00 each. Then in December 2025, they priced another offering of over 19 million shares at $1.30, raising roughly $25M. Stock Titan December 2025 alone featured several best-efforts offerings with proceeds ranging from about $16.2M to $25M. Stock Titan Now this $58.5M raise at $4.35 per share in April 2026 — that's at least 3-4 raises in just the past several months alone, with a shelf registration that allows up to $500M total.


The underlying financials are concerning. In 2025, revenue was $3.38 million — down nearly 28% from the prior year — while losses widened to $29.47 million, about 68% worse than 2024. StockAnalysis So they're burning far more cash than they're bringing in, which explains the constant need to raise.


The stock reaction to offerings has been mixed at best. Offering-related headlines have produced an average move of -6.19%, suggesting dilution news often pressures the stock, though a few events did rally sharply. Stock Titan


The bottom line: Frequent equity raises to fund "working capital and general corporate purposes" — with revenues of only $3.4M against $29M in losses — is a classic sign of a cash-burning early-stage company that hasn't found a path to profitability. Each raise dilutes existing shareholders. The fact that they have a $500M shelf registered suggests this pattern is likely to continue. It's not necessarily a death knell, but for current shareholders it's a significant red flag worth watching closely.


I'm not a financial advisor — this is just an overview of publicly available information.
 
To the traders, question.......

Can you offer some suggestions on how I can learn the skill of trading?

Between Google and YouTube, there is so much information overload.

I need something specific to drown out all the noise.

How did you learn and what tools/info helped you on your journey?

Much appreciated!
trading or investing?
 
To the traders, question.......

Can you offer some suggestions on how I can learn the skill of trading?

Between Google and YouTube, there is so much information overload.

I need something specific to drown out all the noise.

How did you learn and what tools/info helped you on your journey?

Much appreciated!
I don't day trade anymore due to how random tweets can screw up my position.

I would start with learning how to read stock charts. Stronger trade signals are found on higher time frames. Learn support and resistance levels.

Here is a video I did on support and resistance:

 
I don't day trade anymore due to how random tweets can screw up my position.

I would start with learning how to read stock charts. Stronger trade signals are found on higher time frames. Learn support and resistance levels.

Here is a video I did on support and resistance:


who do you use for your animation?
 
Nah he was reasonable. I think it was like $30 per pose. I havent used him or Upwork since AI came out though.
 
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