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Amazon Web Services Snowmobile Truck

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At Amazon’s annual cloud conference in 2016, the company captured the crowd’s attention by driving an 18-wheeler onstage. Andy Jassy, now Amazon’s CEO, called it the Snowmobile, and said the company would be using the truck to help customers speedily transfer data to Amazon Web Services facilities.

Less than eight years later, the semi is out of commission.

As of March, AWS had removed Snowmobile from its website, and the Amazon unit has stopped offering the service, CNBC has confirmed. The webpage devoted to AWS’ “Snow family” of products now directs users to its other data transport services, including the Snowball Edge, a 50-pound suitcase-sized device that can be equipped with fast solid-state drives, and the smaller Snowcone.

An AWS spokesperson said in an emailed statement that the company has introduced more cost-effective options for moving data. Clients had to deal with power, cooling, networking, parking and security when they used the Snowmobile service, the spokesperson said.

“Since we introduced Snowmobile in 2016, we’ve released many other new services and features which have made migrating data to AWS even faster and easier for our customers,” the spokesperson wrote.

An AWS Snowmobile truck appears in a Seattle parking lot in 2019.

Andrew Evers | CNBC

Snowmobile was priced at $0.005 gigabytes per month, not including other costs, according to a page formerly on the AWS website. For a company with 100 petabytes of data — the capacity of a Snowmobile — a transfer job would cost about $500,000 per month.

Amazon’s decision to axe Snowmobile comes as Jassy implements cost cuts across the company to contend with lackluster sales growth. Amazon has slashed more than 27,000 jobs since late 2022 and has discontinued projects in the devices and retail units. The cuts have continued this year, with Amazon laying off hundreds of jobs in AWS earlier this month.

While it’s fairly routine for AWS and rivals Microsoft Azure and Google Cloud Platform to get rid of products and services, the elimination of Snowmobile stands out due to the splashy way it was introduced at the company’s showcase Reinvent conference in Las Vegas in late 2016.

Jassy, who at the time led AWS, was delivering his keynote before tens of thousands of people in the crowd, when the 18-wheeler joined him on stage.

“We’re going to need a bigger box,” Jassy said, as audience members rushed to raise their smartphones to capture photos of the spectacle.

Jassy told the crowd why the truck was groundbreaking. Over a 10 gigabit-per-second connection, it would take 26 years to move an exabyte, or 1 million terabytes, of data to the cloud, he said. An AWS customer could do the job with 10 Snowmobiles in under six months, he said. Each Snowmobile had a capacity of 100 petabytes on hard disk drives.

In a blog post coinciding with the launch on Nov. 30, 2016, Amazon cloud evangelist Jeff Barr described Snowmobile as “a ruggedized, tamper-resistant shipping container 45 feet long, 9.6 feet high, and 8 feet wide” that “can be parked in a covered or uncovered area adjacent to your existing data center.”

Barr helped to convey the supposed simplicity of the process with photos of a Snowmobile built out of Lego getting connected to a corporate data center.

“We intend to make sure that Snowmobile is both faster and less expensive than using a network-based data transfer model,” Barr wrote.

But the product didn’t take off.

A spokesperson for satellite operator Maxar said the company used Snowmobile once in 2017 to move more than 100 petabytes to AWS from its own servers.

“Since then, we have been uploading our imagery and associated data directly to the cloud,” the spokesperson said.

AWS still leads the giant cloud infrastructure market and generated $90.8 billion in revenue last year, accounting for 16% of Amazon’s total sales. The company’s spokesperson said AWS’ Snowball Edge devices, which clients can return to Amazon by mail after filling them up with data, are smaller than the Snowmobile vehicles, cost less and have a shorter turnaround time.

There’s also the AWS DataSync service for moving data, announced in 2018. Clients generally find that sending data to AWS online is more economical than using Snowmobile, the company said.

“We couldn’t be more proud of the value that Snowmobile has brought to customers, and we’re pleased to see them choosing newer, more efficient technologies,” the spokesperson wrote.

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World’s first major law for artificial intelligence gets final EU green light

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World’s first major law for artificial intelligence gets final EU green light

Mr.cole_photographer | Moment | Getty Images

European Union member states on Tuesday agreed the world’s first major law for regulating artificial intelligence, as institutions around the world race to introduce curbs for the technology.

The EU Council said that it reached final approval for the AI Act — a ground-breaking piece of regulation that aims to introduce the first comprehensive set of rules for artificial intelligence.

“The adoption of the AI act is a significant milestone for the European Union,” Mathieu Michel, Belgium’s secretary of state for digitization said in a Tuesday statement.

“With the AI act, Europe emphasizes the importance of trust, transparency and accountability when dealing with new technologies while at the same time ensuring this fast-changing technology can flourish and boost European innovation,” Michel added.

The AI Act applies a risk-based approach to artificial intelligence, meaning that different applications of the technology are treated differently, depending on the threats they pose to society.

The law prohibits applications of AI that are considered “unacceptable” in terms of their risk level. Forms of unacceptable AI applications feature so-called “social scoring” systems that rank citizens based on aggregation and analysis of their data, predictive policing, and emotional recognition in the workplace and schools.

High-risk AI systems cover autonomous vehicles or medical devices, which are evaluated on the risks they pose to the health, safety, and fundamental rights of citizens. They also include applications of AI in financial services and education, where there is a risk of bias embedded in AI algorithms.

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Tech giants pledge AI safety commitments — including a ‘kill switch’ if they can’t mitigate risks

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Tech giants pledge AI safety commitments — including a ‘kill switch’ if they can’t mitigate risks

Dado Ruvic | Reuters

A slew of major tech companies including Microsoft, Amazon, and OpenAI, on Tuesday agreed to a landmark international agreement on artificial intelligence safety at the Seoul AI Safety Summit.

The agreement will see companies from countries including the U.S., China, Canada, the U.K., France, South Korea, and the United Arab Emirates, make voluntary commitments to ensure the safe development of their most advanced AI models.

Where they have not done so already, AI model makers will each publish safety frameworks laying out how they’ll measure risks of their frontier models, such as examining the risk of misuse of the technology by bad actors.

These frameworks will include “red lines” for the tech firms that define the kinds of risks associated with frontier AI systems which would be considered “intolerable” — these risks include but aren’t limited to automated cyberattacks and the threat of bioweapons.

In those sorts of extreme circumstances, companies say they will implement a “kill switch” that would see them cease development of their AI models if they can’t guarantee mitigation of these risks.

“It’s a world first to have so many leading AI companies from so many different parts of the globe all agreeing to the same commitments on AI safety,” Rishi Sunak, the U.K.’s prime minister, said in a statement Tuesday.

“These commitments ensure the world’s leading AI companies will provide transparency and accountability on their plans to develop safe AI,” he added.

The pact agreed Tuesday expands on a previous set of commitments made by companies involved in the development of generative AI software the U.K.’s AI Safety Summit in Bletchley Park, England, last November.

The companies have agreed to take input on these thresholds from “trusted actors,” including their home governments as appropriate, before releasing them ahead of the next planned AI summit — the AI Action Summit in France — in early 2025.

The commitments agreed Tuesday only apply to so-called “frontier” models. This term refers to the technology behind generative AI systems like OpenAI’s GPT family of large language models, which powers the popular ChatGPT AI chatbot.

Ever since ChatGPT was first introduced to the world in November 2022, regulators and tech leaders have become increasingly worried about the risks surrounding advanced AI systems capable of generating text and visual content on par with, or better than, humans.

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The European Union has sought to clamp down on unfettered AI development with the creation of its AI Act, which was approved by the EU Council on Tuesday.

The U.K. hasn’t proposed formal laws for AI, however, instead opting for a “light-touch” approach to AI regulation that entails regulators applying existing laws to the technology.

The government recently said it will consider legislating for frontier models at a point in future, but has not committed to a timeline for introducing formal laws.

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Amazon, Meta back Scale AI in $1 billion funding deal that values firm at $14 billion

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Amazon, Meta back Scale AI in  billion funding deal that values firm at  billion

Scale AI CEO Alex Wang, left.

Scale AI

Artificial intelligence startup Scale AI said Tuesday that it has raised $1 billion in a Series F funding round that values the enterprise tech company at $13.8 billion — almost double its last reported valuation. The San Francisco-based company, ranked No. 12 on this year’s CNBC Disruptor 50 list, has now raised $1.6 billion to date.

Its latest funding round is being led by Accel, and includes Cisco Investments, DFJ Growth, Intel Capital, ServiceNow Ventures, AMD Ventures, WCM, Amazon, Elad Gil (co-founder of Color Genomics and serial tech investor), and Meta, all of which are new investors in the company.

Existing investors including Y Combinator, Nat Friedman, Index Ventures, Founders Fund, Coatue, Thrive Capital, Spark Capital, Nvidia, Tiger Global Management, Greenoaks, and Wellington Management also participated in the round.

Scale AI is playing a key role in the rise of generative artificial intelligence and large language models, with the data — whether it is text, images, video or voice recordings — needing to be labeled correctly before it can be digested and used effectively by AI technology. Scale AI has evolved from labeling data used to train models that powered autonomous driving to now helping to improve and fine tune the underlying data for nearly any organization looking to implement AI, powering some of the most advanced models in use.

“Our calling is to build the data foundry for AI, and with today’s funding, we’re moving into the next phase of that journey – accelerating the abundance of frontier data that will pave our road to AGI,” founder and CEO Alexandr Wang said in a statement announcing the news.

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Scale AI is also increasingly working with the public sector.

In August, the company was awarded a contract with the Department of Defense Chief Digital and Artificial Intelligence Office, which the company said will help boost the DoD’s efforts to advance AI capabilities for the entire military, spanning projects across the Army, Marine Corps, Navy, Air Force, Space Force and Coast Guard.

In May, Scale AI launched Donovan, an AI-powered decision-making platform that is the first LLM deployed to a U.S. government classified network.

Wang spoke at December’s AI Insight Forum in Washington, D.C., about the role Scale AI is playing in helping support the U.S. and its allies.

“The race for AI global leadership is well underway, and our nation’s ability to efficiently adopt and implement AI will define the future of warfare,” he said. “I firmly believe that the United States has the ability to lead the world in AI adoption to support U.S. national security. The world is not slowing down, and we must rise to the occasion.”

The company is also looking to play a role in AI development globally. It announced in May that it will open a London office as its European headquarters and will look to support and partner with the U.K. government on its AI initiatives.

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