Amazon.com Inc (AMZN) Quote

~bought 1/3/25 $255 calls @.07c 

$AMZN - Update: Aiming for the roof again...
By: Sahara | December 17, 2024

• $AMZN - Update

Aiming for the roof again...



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LONG AMZN
SINCE $97.00
You got to know when to hold 'em
Know when to fold 'em
Know when to walk away
And know when to run
You never count your money
When you're sittin' at the table
There'll be time enough for countin'
When the dealing's done
"The Gambler by Kenny Rogers"

$AMZN Top Bullish Flow – Open
By: Peter DiCarlo | December 17, 2024

• Top Bullish Flow – Open

TSLA – $30.37M
AMZN – $5.72M
GOOG – $3.44M
MRVL – $3.1M
GOOGL – $2.9M



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Today Amazon com Inc. (AMZN) is the best performer in the DJIA
By: Thom Hartle | December 16, 2024

• Today (8:34 CST), the best performer in the DJIA is Amazon, Inc. AMZN.



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~bought 12/27 $260 calls @.12c

Amazon $AMZN Target hit
By: TrendSpider | December 12, 2024

• $AMZN Target hit.



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AMZN, new all time high

Amazon share price has been in Ascending Triple Top Breakout since 04-Dec-2024

Impressive performance. GLTA

$AMZN joining $AAPL in the new ATH club. Just pulled up a 20-year chart to check.

GL my friend

AMZN, new 52 week high

~thanks for that Sirpeter.  On watch. 

Amazon share price has been in an Ascending Triple Top Breakout since 4-Dec-2024. GLTA

~I sold way too early.  You will do well. 

Nice...I'm playing Jan 17 $235s until at least $250

~sold my 12/13 $240 calls @.15c

I hear BLUE EYES SINGING
"FLY ME TO THE MOON"
OR
Was it the NEWS THAT
XtalPi Leverages AWS to Enhance Drug Discovery
https://www.marketscreener.com/quote/stock/AMAZON-COM-INC-12864605/news/XtalPi-Leverages-AWS-to-Enhance-Drug-Discovery-48522674/

~bought some 12/13 $240 calls @.10c

Today Amazon com Inc. (AMZN) is the best performer in the DJIA
By: Thom Hartle | December 2, 2024

• Today (8:33 CST), the best performer in the DJIA is Amazon, Inc. AMZN.



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Amazon $AMZN pulling back on low volume into a key weekly pivot...
By: TrendSpider | November 30, 2024

• Prior resistance, meet new support. $AMZN



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Amazon plans to compete in AI chips - Bloomberg
Published 11/25/2024, 11:12 AM
Investing.com -- Amazon is setting its sights on a new venture: reducing its dependence on Nvidia (NASDAQ:NVDA) by developing custom AI chips.
https://www.investing.com/news/stock-market-news/amazon-plans-to-compete-in-ai-chips--bloomberg-3740173
According to a Bloomberg report, the effort is taking place in an engineering lab in Austin, Texas, where Amazon (NASDAQ:AMZN) engineers are working to challenge Nvidia's dominance in the $100 billion AI chip market.

Cathie Wood & Ark Invest's Buys 82,735 Shares of Amazon com Inc. (AMZN)
By: Cheddar Flow | November 27, 2024

• Here's what moves Cathie Wood and Ark Invest made in the stock market today 11/27.



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Cathie Wood & Ark Invest's Buys 19,747 Shares of Amazon com Inc. (AMZN)
By: Cheddar Flow | November 25, 2024

• Here's what moves Cathie Wood and Ark Invest made in the stock market today 11/25.



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This is the Company AMZN has INVESTED in:
https://www.anthropic.com/news/3-5-models-and-computer-use

Today Amazon com Inc. (AMZN) is the best performer in the DJIA
By: Thom Hartle | November 25, 2024

• Today (8:32 CST), the best performer in the DJIA is Amazon, Inc. AMZN.



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Amazon and Anthropic deepens strategic collaboration
https://www.aboutamazon.com/news/aws/amazon-invests-additional-4-billion-anthropic-ai
AI AGENTS is the FUTURE
Chat BOTs is the PAST
ANTHROPIC is becoming the LEADER in the AI AGENT FIELD......

Amazon still inn a up trend Black FridayUpper gap needs to be filled

Hope they add a yield someday. Just watching for now

Amazon doubles down on AI startup Anthropic with $4 billion investment
By: Investing | November 22, 2024

(Reuters) -Amazon.com pumped in an additional $4 billion into artificial intelligence startup Anthropic, as the e-commerce giant goes up against Big Tech rivals in a race to capitalize on generative AI technology.

This doubles Amazon (NASDAQ:AMZN)'s investment in the firm known for its GenAI chatbot Claude, but it remains a minority investor, the startup said on Friday. Amazon will also be Anthropic's main training partner for AI models.

Amazon, which is Anthropic's primary cloud partner, is fiercely competing with Microsoft (NASDAQ:MSFT) and Alphabet (NASDAQ:GOOGL)'s Google to offer AI-powered tools for its cloud customers.

"The investment in Anthropic is essential for Amazon to stay in a leadership position in AI," said D.A. Davidson analyst Gil Luria.

The e-commerce company's increased investment in Anthropic underscores the billions of dollars funneled into AI startups over the past year, as investors look to cash in on a boom in the technology, which became popular with the launch of OpenAI's ChatGPT in late 2022.

Microsoft-backed OpenAI raised $6.6 billion from investors last month, which could value the company at $157 billion and cement its position as one of the most valuable private companies in the world.

Anthropic plans to train and deploy its foundational models on Amazon's Trainium and Inferentia chips. The intensive process of training AI models requires powerful processors, making securing pricey AI chips a top priority for startups.

"It (partnership) also allows Amazon to promote its AI services such as leveraging its AI chips for training and inferencing, which Anthropic is using," Luria said.

Nvidia (NASDAQ:NVDA) currently dominates the market for AI processors and counts Amazon among its long list of so-called hyperscaler customers.

Still, Amazon has been working to develop its own chips through its Annapurna Labs division, which Anthropic said it was "working closely with" to aid in developing processors.

Anthropic, co-founded by former OpenAI executives and siblings Dario and Daniela Amodei, said last year it had secured a $500 million investment from Alphabet, which promised to invest another $1.5 billion over time.

The startup also uses Alphabet's Google Cloud services as part of its operations.

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Amazon $AMZN Aggressive $1.6 Million Call Order
By: Cheddar Flow | November 21, 2024

• $WMT & $AMZN Aggressive Call Orders

*Above the Ask*



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$AMZN $510.7K Leaps Call
By: Theta Warrior | November 20, 2024

• $AMZN LEAPS BULL.



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Amazon $AMZN $1.27 Million Put Writer
By: Theta Warrior | November 20, 2024

• $AMZN PUT WRITER.



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High Pole Warning today, on 19-Nov-2024. GLTA

Amazon (AMZN) Breakout Ready for Massive Climb!
By: Tom Bowley | November 16, 2024

As the secular bull market takes a short-term pause, now is the time to research tremendous opportunities that lie ahead. I've looked at more than a thousand charts and wanted to point out 3 in particular that I see heading much, much higher as we close out 2024 and move into a brand new year. There are tons of companies that have been regularly setting 52-week and all-time highs. Most of those are very overbought and carry more short-term risk. I want to instead focus on stocks that have been basing for an extended period of time and have just made a breakout.

Stock 1 - Amazon.com (AMZN)

I love this breakout. We've actually had two breakouts. The first was the move above the 190 area, stopping at 200. Then more recently, AMZN cleared 200 before profit taking kicked in this past week with options expiration. We're now back close to that 200 support level. Here's the 10-year weekly chart:



The current setup looks eerily similar to the setup heading into 2020. I trust this current breakout, considering that AMZN's top in 2021 started a lengthy consolidation/basing period - similar to a cup formation. If we use that cup as a measurement stick for the potential rally ahead in AMZN shares, we'd be looking at 320. I'd take that 60% gain.

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Cathie Wood & Ark Invest's Buys 28,509 Shares of Amazon com Inc. (AMZN)
By: Ark Invest Daily | November 14, 2024

• Cathie Wood and Ark Invest's trade activity from 11/14.





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Amazon $AMZN $3 Million Dip Buyer
By: Cheddar Flow | November 15, 2024

• $AMZN $3M Dip Buyer

This whale bought February calls and executed the order above the ask

They are giving it time to pan out.



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A GOOD ER CAN LIFT A STOCKS PPS.....
AMZN is MORE than E-COM

Interesting perspective:
@thexcapitalist
$AMZN is closing in on building an AI chip that could rival $NVDA.

Like it or not every cutting edge chip is bound to get commoditized, eventually.

Advance technology or design, in itself, is never a durable competitive advantage.

Yes, Nvidia has CUDA, but cost savings from custom chips is enough to leave it.

My hunch is that most of the early money has already been made in $NVDA and revenue growth will slow down drastically post 2025 as hyperscalers start using their custom chips.AMZN continues making the right moves for the future. Many billionaires besides Bezos have been selling shares in their companies as the market is likely topped out this year?

Amazon $AMZN $2.4 Million OTM Call
By: Cheddar Flow | November 13, 2024

• $AMZN $2.4M OTM Call

Volume has been gradually increasing on this contract

*Above the Ask*





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Ya, he did the same at $200.00 and here we are @ $209.00
If he keeps selling, AMZN will hit $225.00 soon.

$AMZN Holding up incredibly well despite all the Bezos selling...
By: TrendSpider | November 13, 2024

• $AMZN Holding up incredibly well despite all the Bezos selling...

If mega-caps turn around tomorrow, Amazon looks poised to lead.



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JUST IN: Jeff Bezos filed for his sale of 5.99 Million shares of Amazon $AMZN stock for $1,245,279,944.36 (Pre-Tax)
By: Evan | November 12, 2024

• JUST IN:

Jeff Bezos filed for his sale of 5.99 Million shares of Amazon $AMZN stock for $1,245,279,944.36 (Pre-Tax)

Jeff Bezos now has 3.3 Million shares left to sell on his current stock sale plan

Bezos is now 87% of the way through the share sale plan



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Cool Beans! Big Tech group’s Annapurna Labs is spending big to build custom chips that lessen its reliance on market leader

https://arstechnica.com/ai/2024/11/amazon-ready-to-use-its-own-ai-chips-reduce-its-dependence-on-nvidia/

Amazon is poised to roll out its newest artificial intelligence chips as the Big Tech group seeks returns on its multibillion-dollar semiconductor investments and to reduce its reliance on market leader Nvidia.

Executives at Amazon’s cloud computing division are spending big on custom chips in the hopes of boosting the efficiency inside its dozens of data centers, ultimately bringing down its own costs as well as those of Amazon Web Services’ customers.

The effort is spearheaded by Annapurna Labs, an Austin-based chip start-up that Amazon acquired in early 2015 for $350 million. Annapurna’s latest work is expected to be showcased next month when Amazon announces widespread availability of ‘Trainium 2,’ part of a line of AI chips aimed at training the largest models.

Trainium 2 is already being tested by Anthropic—the OpenAI competitor that has secured $4 billion in backing from Amazon—as well as Databricks, Deutsche Telekom, and Japan’s Ricoh and Stockmark.

AWS and Annapurna’s target is to take on Nvidia, one of the world’s most valuable companies thanks to its dominance of the AI processor market.

“We want to be absolutely the best place to run Nvidia,” said Dave Brown, vice-president of compute and networking services at AWS. “But at the same time we think it’s healthy to have an alternative.” Amazon said ‘Inferentia,’ another of its lines of specialist AI chips, is already 40 percent cheaper to run for generating responses from AI models.
“The price [of cloud computing] tends to be much larger when it comes to machine learning and AI,” said Brown. “When you save 40 percent of $1,000, it’s not really going to affect your choice. But when you are saving 40 percent on tens of millions of dollars, it does.”

Amazon now expects around $75 billion in capital spending in 2024, with the majority on technology infrastructure. On the company’s latest earnings call, chief executive Andy Jassy said he expects the company will spend even more in 2025.

This represents a surge on 2023, when it spent $48.4 billion for the whole year. The biggest cloud providers, including Microsoft and Google, are all engaged in an AI spending spree that shows little sign of abating.

Amazon, Microsoft, and Meta are all big customers of Nvidia, but are also designing their own data center chips to lay the foundations for what they hope will be a wave of AI growth.

“Every one of the big cloud providers is feverishly moving towards a more verticalized and, if possible, homogenized and integrated [chip technology] stack,” said Daniel Newman at The Futurum Group.

“Everybody from OpenAI to Apple is looking to build their own chips,” noted Newman, as they seek “lower production cost, higher margins, greater availability, and more control.”

“It’s not [just] about the chip, it’s about the full system,” said Rami Sinno, Annapurna’s director of engineering and a veteran of SoftBank’s Arm and Intel.

For Amazon’s AI infrastructure, that means building everything from the ground up, from the silicon wafer to the server racks they fit into, all of it underpinned by Amazon’s proprietary software and architecture. “It’s really hard to do what we do at scale. Not too many companies can,” said Sinno.

After starting out building a security chip for AWS called Nitro, Annapurna has since developed several generations of Graviton, its Arm-based central processing units that provide a low-power alternative to the traditional server workhorses provided by Intel or AMD.

“The big advantage to AWS is their chips can use less power, and their data centers can perhaps be a little more efficient,” driving down costs, said G Dan Hutcheson, analyst at TechInsights. If Nvidia’s graphics processing units are powerful general purpose tools—in automotive terms, like a station wagon or estate car—Amazon can optimize its chips for specific tasks and services, like a compact or hatchback, he said.

So far, however, AWS and Annapurna have barely dented Nvidia’s dominance in AI infrastructure.

Nvidia logged $26.3 billion in revenue for AI data center chip sales in its second fiscal quarter of 2024. That figure is the same as Amazon announced for its entire AWS division in its own second fiscal quarter—only a relatively small fraction of which can be attributed to customers running AI workloads on Annapurna’s infrastructure, according to Hutcheson.

As for the raw performance of AWS chips compared with Nvidia’s, Amazon avoids making direct comparisons and does not submit its chips for independent performance benchmarks.

“Benchmarks are good for that initial: ‘hey, should I even consider this chip,’” said Patrick Moorhead, a chip consultant at Moor Insights & Strategy, but the real test is when they are put “in multiple racks put together as a fleet.”

Moorhead said he is confident Amazon’s claims of a 4-times performance increase between Trainium 1 and Trainium 2 are accurate, having scrutinized the company for years. But the performance figures may matter less than simply offering customers more choice.

“People appreciate all of the innovation that Nvidia brought, but nobody is comfortable with Nvidia having 90 percent market share,” he added. “This can’t last for long.”

© 2024 The Financial Times Ltd. All rights reserved. Not to be redistributed, copied, or modified in any way.

Thanks..............Here is the story......

Big Tech group’s Annapurna Labs is spending big to build custom chips that lessen its reliance on market leader

https://arstechnica.com/ai/2024/11/amazon-ready-to-use-its-own-ai-chips-reduce-its-dependence-on-nvidia/

Amazon is poised to roll out its newest artificial intelligence chips as the Big Tech group seeks returns on its multibillion-dollar semiconductor investments and to reduce its reliance on market leader Nvidia.

Executives at Amazon’s cloud computing division are spending big on custom chips in the hopes of boosting the efficiency inside its dozens of data centers, ultimately bringing down its own costs as well as those of Amazon Web Services’ customers.

The effort is spearheaded by Annapurna Labs, an Austin-based chip start-up that Amazon acquired in early 2015 for $350 million. Annapurna’s latest work is expected to be showcased next month when Amazon announces widespread availability of ‘Trainium 2,’ part of a line of AI chips aimed at training the largest models.

Trainium 2 is already being tested by Anthropic—the OpenAI competitor that has secured $4 billion in backing from Amazon—as well as Databricks, Deutsche Telekom, and Japan’s Ricoh and Stockmark.

AWS and Annapurna’s target is to take on Nvidia, one of the world’s most valuable companies thanks to its dominance of the AI processor market.

“We want to be absolutely the best place to run Nvidia,” said Dave Brown, vice-president of compute and networking services at AWS. “But at the same time we think it’s healthy to have an alternative.” Amazon said ‘Inferentia,’ another of its lines of specialist AI chips, is already 40 percent cheaper to run for generating responses from AI models.
“The price [of cloud computing] tends to be much larger when it comes to machine learning and AI,” said Brown. “When you save 40 percent of $1,000, it’s not really going to affect your choice. But when you are saving 40 percent on tens of millions of dollars, it does.”

Amazon now expects around $75 billion in capital spending in 2024, with the majority on technology infrastructure. On the company’s latest earnings call, chief executive Andy Jassy said he expects the company will spend even more in 2025.

This represents a surge on 2023, when it spent $48.4 billion for the whole year. The biggest cloud providers, including Microsoft and Google, are all engaged in an AI spending spree that shows little sign of abating.

Amazon, Microsoft, and Meta are all big customers of Nvidia, but are also designing their own data center chips to lay the foundations for what they hope will be a wave of AI growth.

“Every one of the big cloud providers is feverishly moving towards a more verticalized and, if possible, homogenized and integrated [chip technology] stack,” said Daniel Newman at The Futurum Group.

“Everybody from OpenAI to Apple is looking to build their own chips,” noted Newman, as they seek “lower production cost, higher margins, greater availability, and more control.”

“It’s not [just] about the chip, it’s about the full system,” said Rami Sinno, Annapurna’s director of engineering and a veteran of SoftBank’s Arm and Intel.

For Amazon’s AI infrastructure, that means building everything from the ground up, from the silicon wafer to the server racks they fit into, all of it underpinned by Amazon’s proprietary software and architecture. “It’s really hard to do what we do at scale. Not too many companies can,” said Sinno.

After starting out building a security chip for AWS called Nitro, Annapurna has since developed several generations of Graviton, its Arm-based central processing units that provide a low-power alternative to the traditional server workhorses provided by Intel or AMD.

“The big advantage to AWS is their chips can use less power, and their data centers can perhaps be a little more efficient,” driving down costs, said G Dan Hutcheson, analyst at TechInsights. If Nvidia’s graphics processing units are powerful general purpose tools—in automotive terms, like a station wagon or estate car—Amazon can optimize its chips for specific tasks and services, like a compact or hatchback, he said.

So far, however, AWS and Annapurna have barely dented Nvidia’s dominance in AI infrastructure.

Nvidia logged $26.3 billion in revenue for AI data center chip sales in its second fiscal quarter of 2024. That figure is the same as Amazon announced for its entire AWS division in its own second fiscal quarter—only a relatively small fraction of which can be attributed to customers running AI workloads on Annapurna’s infrastructure, according to Hutcheson.

As for the raw performance of AWS chips compared with Nvidia’s, Amazon avoids making direct comparisons and does not submit its chips for independent performance benchmarks.

“Benchmarks are good for that initial: ‘hey, should I even consider this chip,’” said Patrick Moorhead, a chip consultant at Moor Insights & Strategy, but the real test is when they are put “in multiple racks put together as a fleet.”

Moorhead said he is confident Amazon’s claims of a 4-times performance increase between Trainium 1 and Trainium 2 are accurate, having scrutinized the company for years. But the performance figures may matter less than simply offering customers more choice.

“People appreciate all of the innovation that Nvidia brought, but nobody is comfortable with Nvidia having 90 percent market share,” he added. “This can’t last for long.”

© 2024 The Financial Times Ltd. All rights reserved. Not to be redistributed, copied, or modified in any way.

Amazon to build AI chips that can rival Nvidia:

https://www.ft.com/content/3d9b5c6d-f1ae-4f6f-adc3-51e5f1dfb008

By designing its own chips Amazon would potentially save on the high costs associated with purchasing Nvidia's GPUs. It seems many companies are going this direction now.

Cathie Wood & Ark Invest's Buys 150,675 Shares of Amazon com Inc. (AMZN)
By: Ark Invest Daily | November 8, 2024

• Cathie Wood and Ark Invest's trade activity from yesterday 11/7.



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Anthropic and Palantir Partner to Bring Claude AI Models to AWS for U.S. Government Intelligence and Defense Operations
November 07 2024 - 6:59AM
Business Wire

$AMZN Call sweepers are starting to get active here
By: Cheddar Flow | November 6, 2024

• $AMZN Call sweepers are starting to get active here.



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