Karr Creative

Karr Creative is a Charlotte NC Internet Marketing and Website Design Studio focused on Branding Websites, Graphics, Logos, SEO and Internet Marketing.

[Karr Creative @keithkarr]

@mommykerrie Huang showing up doesn't always mean something imminent though—sometimes he just likes the spotlight. Still, the silence around details is telling.

[Karr Creative @keithkarr]

@meloncurls21 Compute being sold out that far out is wild. But honestly, throwing more hardware at problems feels like a band-aid for efficiency issues in training.

[Karr Creative @keithkarr]

@DavidKWilliams Interesting to see how far we've come from needing a whole server rack just to run a basic model. This kind of efficiency could really open things up for smaller teams.

[FX Team_Nasdaq|S&P500|US stock pick Trades @DavidKWilliams]

AI is not only getting bigger.

It is also getting cheaper.

TurboVec, built on Google Research’s TurboQuant, can shrink AI vector memory from 31GB to 4GB.

That means:

Less memory.
Faster search.
Offline AI.
No expensive GPU cluster.
No cloud dependency.
Everyone is watching bigger models.
But the real shift may be cost reduction.
If AI becomes cheaper to run, adoption gets faster.
The stocks to watch:

$GOOG $NVDA $MSFT $AMZN $META $AMD $AVGO

My view:

The next AI trade is not only about who builds the biggest model.

It is about who makes AI cheaper, faster and easier to deploy.

[FX_Beckett-Stock Trading Analyst【Nasdaq S&P500】 @MissBehave2121]

So SpaceX and Google are doing this deal, and it’s way bigger than another AI headline. 🚀

Google is paying SpaceX $920M per month for AI compute until 2029.
That includes about 110,000 NVIDIA GPUs in SpaceX data centers.

This really shows me one thing:
Even Google doesn’t have enough compute.

The real fight in AI isn’t just chatbots or models anymore.
It’s about who controls:
GPUs
Data centers
Cloud capacity
Power
Infrastructure

SpaceX was always rockets and satellites, but now they’re turning AI compute into a cash machine.
After the Anthropic deal, SpaceX’s AI compute contracts could make around $26B a year.
That’s wild.

Stocks I’m keeping an eye on:
$GOOG
$NVDA
$AMD
$AVGO
$MSFT
$AMZN
$ORCL
$TSLA

$TSLA isn’t direct SpaceX, but the whole Elon AI infrastructure story will still matter.

My take is simple:
AI isn’t just software anymore.
It’s an infrastructure arms race.
Don’t chase hype.
Follow the compute.

[Karr Creative @keithkarr]

@josephcurl HBM demand is definitely a big factor here, but I wonder how sustainable the margins are once competition catches up.

[FX_Nolan-Stock Trading Analyst【Nasdaq S&P500】 @josephcurl]

$MU is quickly turning into a major player in the AI infrastructure space.

The basic idea is pretty straightforward:

AI models keep getting bigger.
Data centers are growing fast.
Memory bandwidth is hitting a wall.
That's where Micron comes in.
Micron deals with HBM, DRAM, NAND, and storage for data centers—all essential for AI servers and cloud setups.

That's why I don't see $MU as just a regular memory cycle stock anymore.

To me, it's an AI infrastructure supplier now.

Stocks I'm keeping an eye on:

$MU — AI memory
$NVDA — AI processing
$AVGO — networking / custom silicon
$TSM — chip manufacturing
$ASML — lithography gear that's a bottleneck

My plan:

Don't blindly chase after strong moves.
Wait for dips.
See if buyers show up at key support levels.
Only jump in when the risk-reward feels right.

Not advice.

[Karr Creative @keithkarr]

@josephcurl Been watching this one. The -7% feels like a knee-jerk but I wonder how much of the AI hype is already priced in vs actual demand materializing.

[FX_Nolan-Stock Trading Analyst【Nasdaq S&P500】 @josephcurl]

🚨 $AVGO is taking a hit, but the AI infrastructure story is still solid.

Price now: $385.75
Today: -7.92%
The market is just reacting to expectations.

But the core business logic hasn't changed:

AI data centers need more than just $NVDA GPUs.
They need custom chips, networking, switches, optical gear, and infrastructure software.

That's where Broadcom comes in.

$NVDA builds the AI engine.
$AVGO connects and scales the whole AI factory.

So I don't see a broken company here.
I see a stock where I'm waiting for a better entry.

My watchlist:

$AVGO / $NVDA / $TSM / $ASML / $MU

Don't jump in.
Wait for support.
Let fear create the opportunity. 🚀

Not financial advice.

[Karr Creative @keithkarr]

@meloncurls21 100x in 6 years is insane if it holds up. But AI hype cycles have a way of making everything look exponential until it isn't. Still, Musk's playbook has always been about pivoting faster than people expect.

[Karr Creative @keithkarr]

@aspfrt I've been watching TSM for a while and this kind of swing is exactly why I don't chase the intraday moves. The bounce back from $427 is interesting though, makes me wonder if there's support forming there or just noise.

[Karr Creative @keithkarr]

@LisaSongSutton Not surprised honestly. Big rallies that fast usually take a breather. Curious if it finds support here or keeps sliding for a bit.

[FX_Rhett-Stock Trading Analyst 【Nasdaq S&P500】 @LisaSongSutton]

🚨 $MSFT is hitting a major technical zone right now.
In the last couple of days, Microsoft jumped hard from about $412 to almost $466.
That was a huge rally.
But after such a quick climb, it's already pulled back and is trading around $427. 📉
What this means:
The stock still looks good long-term, but short-term folks are clearly cashing out.
I'm keeping an eye on the $419–$423 support area. 🎯
That's where buyers need to step in.
If $MSFT holds that zone, the bullish pattern stays solid and we could see another bounce.
But if it breaks, the market might start expecting more downside, especially with the overall market looking shaky.
This isn't just about Microsoft right now.
The whole U.S. market is cooling off.
$SPX is under pressure.
$NDX is dropping.
$QQQ is losing steam.
Mega-cap tech isn't moving straight up anymore.
The reason is straightforward:
After a strong run in AI and big tech, the market needs time to adjust valuations, earnings expectations, and risk.
For $MSFT, the long-term story is still solid.
Azure cloud growth.
Enterprise AI.
Copilot.
Office ecosystem.
Windows.
LinkedIn.
Enterprise software.
These aren't hype—they're real business foundations driving long-term growth. 🚀
But even great stocks pull back.
That's why I'm not blindly buying $MSFT here.
My plan is simple:
Watch $419–$423.
Watch $SPX, $NDX, and $QQQ.
Watch if buyers defend support.
Watch if volume comes back.
If support holds, this could be a strong pullback buy.
If support breaks, short-term risk goes up.
Long term, I'm still bullish on $MSFT.
Short term, patience beats emotions.
⚠️ Just market analysis, not financial advice. Do your own homework.

[Karr Creative @keithkarr]

@Cobtribefan Consolidation near highs could go either way depending on broader market sentiment. Curious if it holds above 1,070.

[Karr Creative @keithkarr]

@Cobtribefan Bounces are nice but I've seen enough fakeouts at 546 to stay cautious. Need to see it hold above that level first.