Technology
Nvidia may be ready to be the successor to AWS

Nvidia and Amazon Web Services, Amazon’s lucrative cloud arm, has surprisingly much in common. First, their core business was created by glad accident. In the case of AWS, it realized that it could sell internal services—storage, compute, and memory—that it had built for itself in-house. In Nvidia’s case, it was the proven fact that a GPU created for gaming purposes also performed well for processing AI workloads.
Ultimately, this led to a surge in revenues in recent quarters. Nvidia’s revenue is growing by triple digits, from $7.1 billion in the first quarter of 2024 to $22.1 billion in the fourth quarter of 2024. That’s a reasonably amazing trajectory, although the overwhelming majority of that growth has been in the company’s data center business.
While Amazon has never experienced such an intense growth spurt, it has consistently been a big revenue driver for the e-commerce giant, and each firms have gained early market advantage. However, over the years, Microsoft and Google have joined the market to form the Big Three cloud service providers, and other chipmakers are expected to eventually start gaining significant market share, even when the revenue graph continues to rise over the coming years. several years.
Both firms were clearly in the right place at the right time. When web applications and mobile devices began to emerge around 2010, the cloud provided on-demand resources. Enterprises soon began to see the value of moving workloads or constructing applications in the cloud reasonably than running their very own data centers. Similarly, the rise of artificial intelligence over the past decade, and more recently large language models, has coincided with an explosion in the use of GPUs to process these workloads.
Over the years, AWS has evolved into an especially profitable company, currently earning a rate of return close to $100 billion, and which, even aside from Amazon, would be a really successful company. But AWS’s growth has begun to slow at the same time as Nvidia gains momentum. Part of that is the law of huge numbers, which can eventually affect Nvidia as well.
The query is whether or not Nvidia will be able to sustain this growth and develop into a long-term revenue powerhouse like AWS is for Amazon. If the GPU market starts to shrink, Nvidia could have other businesses, but as this chart shows, they’re much smaller revenue generators which can be growing much slower than the current GPU data center business.
Image credits: Nvidia
Short-term financial prospects
As you possibly can see in the chart above, Nvida’s revenue growth in recent quarters has been astronomical. According to Nvidia and Wall Street analysts, this case will proceed.
In his recent earnings report covering the fourth quarter of fiscal 2024 (the three months ending January 31, 2024), Nvidia has informed its investors that it expects revenue of $24 billion in the current quarter (Q1FY25). Compared to last 12 months’s first quarter, Nvidia expects growth of roughly 234%.
It’s just not a number we regularly see for mature public firms. However, given the company’s massive revenue growth in recent quarters, its growth rate is anticipated to slow. Following 22% revenue growth from the third to fourth quarters of the recently ended fiscal 12 months, Nvidia expects a more modest growth rate of 8.6% from the last quarter of fiscal 2024 to the first quarter of fiscal 2025. Certainly next 12 months – compared to last 12 months, reasonably than looking back at just three months, Nvidia’s growth rate stays incredible in the current period. However, there are other growth declines on the horizon.
For example, analysts expect Nvidia to generate revenue of $110.5 billion in the current fiscal 12 months, up just over 81% from a 12 months ago. This is significantly lower than the 126% growth recorded in the recently ended fiscal 12 months 2024.
To which we ask: So what? Nvidia is anticipated to proceed growing its revenues over no less than the next few quarters, surpassing the $100 billion annualized rate mark, a powerful result for a corporation that reported total revenues of just $7.19 billion a 12 months ago .
In short, analysts and, to a more modest extent, Nvidia, see tremendous growth ahead for the company, even when a few of its impressive revenue growth numbers slow this calendar 12 months. It is unclear what is going to occur in a rather longer time horizon.
Forward momentum
It looks like AI may be the gift that keeps on giving to Nvidia for the next few years, at the same time as it starts to see more competition from AMD, Intel and other chipmakers. Like AWS, Nvidia will eventually face stronger competition, however it currently controls a lot of the market that it might afford to lose some.
By looking solely at the chip level, and never at the boards or other adjoining components, IDC shows that Nvidia is in total control:

Image credits: IDC
If you take a look at the motherboard level and supply market share data from Jon Peddie Research (JPR), an organization that tracks the GPU market, while Nvidia continues to dominate, AMD becomes stronger:

Image credits: Jon Peddie’s research
C Robert Dow, an analyst at JPR, says a few of these fluctuations have to do with the timing of recent product introductions. “AMD is gaining percentage points here and there depending on market cycles – when new cards are introduced – and inventory levels, but Nvidia has had a dominant position for years and will continue to do so,” Dow told TechCrunch.
Shane Rau, an IDC analyst who tracks the silicon market, also expects this dominance to proceed, at the same time as trends change. “There are trends and counter-trends, the markets in which Nvidia participates are large and getting larger, and growth will continue for at least the next five years,” Rau said.
One reason is that Nvidia sells greater than just the chip itself. “They sell you boards, systems, software, services and time spent on certainly one of their supercomputers. So each of those markets is large and growing, and Nvidia is committed to each of them,” he said.
However, not everyone sees Nvidia as an unstoppable force. David Linthicum, a long-time cloud consultant and writer, says you do not at all times need GPUs, and corporations are starting to realize this. “They say they need GPUs. I take a look at it, do the calculations on the back of the envelope, and it seems they do not need them. The processors are in excellent condition,” he said.
He believes that when this happens, Nvidia will start to decelerate and the competition will weaken its position in the market. “I think Nvidia will turn into an underdog over the next few years. And we will see that because too many substitutes are being built.”
Rau says other vendors will even profit as firms expand AI applications to include Nvidia products. “I think we will see growing markets in the future, which will be a positive factor for Nvidia. But then there will be other companies that will also follow this tailwind and will particularly benefit from artificial intelligence.”
It can be possible that some disruptive force will be at work, with a positive effect if one company doesn’t develop into too dominant. “You almost hope there will be disruption because that’s how markets and capitalism work best, right? Someone gains an early advantage, other suppliers follow, the market grows. You get established players that end up being disrupted by a better way of doing the same thing in their market or in adjacent markets that are encroaching on theirs,” Rau said.
In fact, we’re starting to see this occur at Amazon as Microsoft gains traction with its relationship with OpenAI and Amazon is forced to play catch-up when it comes to AI. Whatever happens to Nvidia in the future, it’s currently firmly in the driver’s seat, creating wealth, dominating a growing market, and just about all the pieces goes its own way. However, this doesn’t mean that this may at all times be the case and that there won’t be greater competitive pressure in the future.
Technology
This is the shipping of products from China to the USA

The Chinese retailer has modified the strategy in the face of American tariffs.
Thanks to the executive ordinance, President Donald Trump ended the so -called de minimis principle, which allowed goods value 800 USD or less entering the country without tariffs. It also increases tariffs to Chinese goods by over 100%, forcing each Chinese firms and Shein, in addition to American giants, similar to Amazon to adapt plans and price increases.
CNBC reports that this was also affected, and American buyers see “import fees” from 130% to 150% added to their accounts. Now, nevertheless, the company is not sending the goods directly from China to the United States. Instead, it only displays the offers of products available in American warehouses, while goods sent from China are listed as outside the warehouse.
“He actively recruits American sellers to join the platform,” said the spokesman ago. “The transfer is to help local sellers reach more customers and develop their companies.”
(tagstotransate) tariffs
Technology
One of the last AI Google models is worse in terms of safety

The recently released Google AI model is worse in some security tests than its predecessor, in line with the company’s internal comparative test.
IN Technical report Google, published this week, reveals that his Flash Gemini 2.5 model is more likely that he generates a text that violates its security guidelines than Gemini 2.0 Flash. In two indicators “text security for text” and “image security to the text”, Flash Gemini 2.5 will withdraw 4.1% and 9.6% respectively.
Text safety for the text measures how often the model violates Google guidelines, making an allowance for the prompt, while image security to the text assesses how close the model adheres to those boundaries after displaying the monitors using the image. Both tests are automated, not supervised by man.
In an e-mail, Google spokesman confirmed that Gemini 2.5 Flash “performs worse in terms of text safety for text and image.”
These surprising comparative results appear when AI is passing in order that their models are more acceptable – in other words, less often refuse to answer controversial or sensitive. In the case of the latest Llam Meta models, he said that he fought models in order to not support “some views on others” and answers to more “debated” political hints. Opeli said at the starting of this yr that he would improve future models, in order to not adopt an editorial attitude and offers many prospects on controversial topics.
Sometimes these efforts were refundable. TechCrunch announced on Monday that the default CHATGPT OPENAI power supply model allowed juvenile to generate erotic conversations. Opeli blamed his behavior for a “mistake”.
According to Google Technical Report, Gemini 2.5 Flash, which is still in view, follows instructions more faithfully than Gemini 2.0 Flash, including instructions exceeding problematic lines. The company claims that regression might be partially attributed to false positives, but in addition admits that Gemini 2.5 Flash sometimes generates “content of violation” when it is clearly asked.
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“Of course, there is a tension between (after instructions) on sensitive topics and violations of security policy, which is reflected in our assessment,” we read in the report.
The results from Meepmap, reference, which can examine how models react to sensitive and controversial hints, also suggest that Flash Gemini 2.5 is much less willing to refuse to reply controversial questions than Flash Gemini 2.0. Testing the TechCrunch model through the AI OpenRoutter platform has shown that he unsuccessfully writes essays to support human artificial intelligence judges, weakening the protection of due protection in the US and the implementation of universal government supervisory programs.
Thomas Woodside, co -founder of the Secure AI Project, said that the limited details given by Google in their technical report show the need for greater transparency in testing models.
“There is a compromise between the instruction support and the observation of politics, because some users may ask for content that would violate the rules,” said Woodside Techcrunch. “In this case, the latest Flash model Google warns the instructions more, while breaking more. Google does not present many details about specific cases in which the rules have been violated, although they claim that they are not serious. Not knowing more, independent analysts are difficult to know if there is a problem.”
Google was already under fire for his models of security reporting practices.
The company took weeks to publish a technical report for the most talented model, Gemini 2.5 Pro. When the report was finally published, it initially omitted the key details of the security tests.
On Monday, Google published a more detailed report with additional security information.
(Tagstotransate) Gemini
Technology
Aurora launches a commercial self -propelled truck service in Texas

The autonomous startup of the Aurora Innovation vehicle technology claims that it has successfully launched a self -propelled truck service in Texas, which makes it the primary company that she implemented without drivers, heavy trucks for commercial use on public roads in the USA
The premiere appears when Aurora gets the term: In October, the corporate delayed the planned debut 2024 to April 2025. The debut also appears five months after the rival Kodiak Robotics provided its first autonomous trucks to clients commercial for operations without a driver in field environments.
Aurora claims that this week she began to freight between Dallas and Houston with Hirschbach Motor Lines and Uber Freight starters, and that she has finished 1200 miles without a driver to this point. The company plans to expand to El Paso and Phoenix until the top of 2025.
TechCrunch contacted for more detailed information concerning the premiere, for instance, the variety of vehicles implemented Aurora and whether the system needed to implement the Pullover maneuver or the required distant human assistance.
The commercial premiere of Aurora takes place in a difficult time. Self -propelled trucks have long been related to the necessity for his or her technology attributable to labor deficiencies in the chairman’s transport and the expected increase in freigh shipping. Trump’s tariffs modified this attitude, not less than in a short period. According to the April analytical company report from the commercial vehicle industry ACT researchThe freight is predicted to fall this yr in the USA with a decrease in volume and consumer expenditure.
Aurora will report its results in the primary quarter next week, i.e. when he shares how he expects the present trade war will affect his future activity. TechCrunch contacted to learn more about how tariffs affect Auror’s activities.
For now, Aurora will probably concentrate on further proving his safety case without a driver and cooperation with state and federal legislators to just accept favorable politicians to assist her develop.
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At the start of 2025, Aurora filed a lawsuit against federal regulatory bodies after the court refused to release the appliance for release from the protection requirement, which consists in placing warning triangles on the road, when the truck must stop on the highway – something that’s difficult to do when there isn’t a driver in the vehicle. To maintain compliance with this principle and proceed to totally implement without service drivers, Aurora probably has a man -driven automotive trail after they are working.
(Tagstranslate) Aurora Innovation
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