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As health care becomes increasingly digitized, scientists, doctors and researchers have to try and decipher unprecedented amounts of data to adequately personalize care. The excess of information available to these experts often outpaces their ability to consume and analyze it. Amazon‘s cloud unit has been working to close that gap.

Amazon Web Services recently launched general availability for Amazon Omics, which helps researchers store and analyze omic data like sequences of DNA, RNA and proteins. The service provides customers with the underlying infrastructure they need to make sense of large amounts of data so they can spend more time making new scientific discoveries.

AWS generates a substantial piece of Amazon’s revenue, pulling in $20.5 billion in the third quarter. The cloud-computing business has been expanding into health care, and while AWS doesn’t disclose revenue projections for particular services, the global genomic data analysis market size is expected to reach $2.15 billion by 2030, according to a report from Straits Research.

Dr. Taha Kass-Hout, chief medical officer at AWS, said the vast majority of health care data is unstructured in nature, which means that about 97% of it goes unused. Indexing and making sense of this information is a challenge, especially when researchers are collecting omic data from tens of thousands of patients. 

Prior to his time at Amazon, Kass-Hout served two terms under President Barack Obama and was the first chief health information officer at the U.S. Food and Drug Administration.

Sequencing one human genome can require anywhere from 80 to 150 gigabytes of storage, Kass-Hout said, and some research projects deal with petabytes and exabytes of genomic information.   

“You’re talking about almost nine Harry Potter’s worth if you want to print it on a printer,” Kass-Hout told CNBC. “And that’s just for one human being.”

Amazon Omics helps researchers sort through their data by providing them with three components that they can leverage individually or as a collective. Omics-aware object storage helps researchers store and share raw sequence data; Omics Workflows helps run workflows that process raw sequence data at scale; and Omics Analytics simplifies the output of the sequence processing. 

More than a dozen customers and partners tested a beta version of the service and are already using Amazon Omics.

For Jeffrey Pennington, chief research informatics officer at the Children’s Hospital of Philadelphia, it’s already made a noticeable impact.

Pennington works in the department of biomedical and health informatics, which uses data and technology to solve issues in child health. He said the department spent five years expanding the infrastructure to analyze omics data, and now it’s no longer something they need to build or maintain themselves. 

“We’re a big pediatric academic medical center, but we’re still not big enough to learn and build everything that is required to make productive use of omic data,” Pennington said. “Our time and energy, our effort, our financial wherewithal is much better spent putting the puzzle together rather than generating those pieces in the first place.”

Amazon Omics also encourages collaboration between large research groups, smaller clinical groups and intelligence and pharmaceutical companies, said Boris Oklander, co-founder and chief technology officer of C2i Genomics.

C2i is a biotechnology company that’s working to use genomic data to develop personalized treatments for cancer. Oklander said the company participated in the beta for Amazon Omics after trying to develop its own data-analysis technology.

He said Amazon Omics has created an ecosystem for collaboration that eliminates the need for researchers to build a complex technology from the ground up. 

“We’re just democratizing,” he said. “This type of service is something that allows [us] to unlock the value in the investments that different players in this space are doing.” 

Other major tech companies have developed similar tools. Microsoft‘s cloud-computing platform Azure launched Microsoft Genomics in 2018 to help researchers interpret data generated by genomic technologies. Google‘s Cloud Life Sciences technology also allows researchers to process biomedical data at a large scale.

Pennington said the Broad Institute and DNAnexus offer popular genomic data analysis services as well, but said they can be difficult to maintain and can analyze fewer data types than Amazon Omics.

Given the sensitive and deeply personal nature of omic data, Kass-Hout said privacy and patient data protection is “job zero” for AWS. He said AWS uses more than 300 security, compliance and governance services and supports 98 security standards and compliance certifications. In doing so, AWS goes “way beyond” regulatory compliance, Kass-Hout said, and it also provides best-practice resources and encryption tools to its customers. 

Customers are also responsible for building secure applications on top of Amazon Omics’ services, which guards AWS from seeing or leveraging the data. 

Kass-Hout said that ultimately, Amazon Omics serves as a way to efficiently index information so researchers can focus on making real advances in precision medicine. 

“If the last decade was about the digitization the health and life science industry has gone through, I truly believe the next decade is about making sense of this data in ways now [where] we can find new therapeutics, new diagnostics, more targeted therapies,” he said.

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CNBC Daily Open: We could still close the year with a rally despite AI slump

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CNBC Daily Open: We could still close the year with a rally despite AI slump

Adam Jeffery | CNBC

The Nasdaq Composite dropped 0.84% Monday stateside as technology stocks were under pressure, with Apple, Meta and Oracle retreating more than 1% each.

Artificial intelligence lynchpin Nvidia performed worse, losing almost 2%. CEO Jensen Huang in October said the chipmaker had “half a trillion dollars” of business on the books for 2025 and 2026. When Nvidia reports its third-quarter earnings Wednesday stateside, investors will be combing through Huang’s comments for signs of strong 2026 growth, as suggested by that data point.

The problem with promises or expectations, especially for a company that is one of the two around which the artificial intelligence universe orbits (OpenAI being the other), is that any disappointment will be disproportionately painful.

“If they offer any even slightly muted guidance or forecast for demand for their chips, the market would take that poorly,” Baird investment strategist Ross Mayfield said.

Despite the recent sell-off in tech over concerns about high valuations and capital expenditure, some analysts think we could still end the year with a rally.

 “We continue to see a balance of bullish and bearish signals heading into year-end, but our stance remains that a year-end rally is likely,” Michael Graham, analyst at Canaccord Genuity, wrote in a Monday note.

Likewise, HSBC’s chief multi-asset strategist Max Kettner on Monday said the bank thinks “the probability of a melt-up into year-end – particularly in equities – is much greater” than a potential AI bubble popping.

If their predictions prove true, investors will have much to celebrate during the festive season — and we can worry about AI in the new year.

What you need to know today

And finally…

Gold bars at the precious metal dealer Pro Aurum.

Sven Hoppe | Picture Alliance | Getty Images

The rich are ‘renting’ out their idle gold bars for income as prices remain at historic highs

Gold prices have been smashing new records this year, and a growing cadre of wealthy investors and family offices are no longer content to let their gold bars sit idle in vaults. They are leasing their bullion to refiners, jewelers, and fabricators for interest, defying gold’s reputation as a non-yielding asset.

Industry veterans whom CNBC spoke to said the appeal is intuitive: investors who already plan to hold gold can earn yields paid in gold through lease payments, while jewelers and fabricators use those leases to fund the gold they need for day-to-day production. 

— Lee Ying Shan

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CNBC Daily Open: AI still under pressure — but some analysts see a year-end rally

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CNBC Daily Open: AI still under pressure — but some analysts see a year-end rally

People pose for pictures at the Wall Street Bull in New York’s Financial District on June 24, 2024 in New York City. 

Spencer Platt | Getty Images

The Nasdaq Composite dropped 0.84% Monday stateside as technology stocks were under pressure, with Apple, Meta and Oracle retreating more than 1% each.

Artificial intelligence lynchpin Nvidia performed worse, losing almost 2%. CEO Jensen Huang in October said the chipmaker had “half a trillion dollars” of business on the books for 2025 and 2026. When Nvidia reports its third-quarter earnings Wednesday stateside, investors will be combing through Huang’s comments for signs of strong 2026 growth, as suggested by that data point.

The problem with promises or expectations, especially for a company that is one of the two around which the artificial intelligence universe orbits (OpenAI being the other), is that any disappointment will be disproportionately painful.

“If they offer any even slightly muted guidance or forecast for demand for their chips, the market would take that poorly,” Baird investment strategist Ross Mayfield said.

Despite the recent sell-off in tech over concerns about high valuations and capital expenditure, some analysts think we could still end the year with a rally.

 “We continue to see a balance of bullish and bearish signals heading into year-end, but our stance remains that a year-end rally is likely,” Michael Graham, analyst at Canaccord Genuity, wrote in a Monday note.

Likewise, HSBC’s chief multi-asset strategist Max Kettner on Monday said the bank thinks “the probability of a melt-up into year-end – particularly in equities – is much greater” than a potential AI bubble popping.

If their predictions prove true, investors will have much to celebrate during the festive season — and we can worry about AI in the new year.

What you need to know today

Major U.S. indexes fall Monday stateside. Investors sold off technology names, furthering their downward trajectory. Alphabet shares, however, bucked the trend on news that Berkshire Hathaway has taken a stake in it. The pan-European Stoxx 600 lost 0.54%.

‘Half a trillion dollars’ of business for Nvidia. CEO Jensen Huang said in October that the chipmaker has $500 billion in orders for 2025 and 2026 combined. Analysts think Huang is signaling a strong forecast for 2026 sales.

Divided outlook on a December rate cut. In prepared remarks on Monday, Fed Governor Christopher Waller said he is focused on the labor market “after months of weakening.” But Vice Chair Philip Jefferson said there is a “need to proceed slowly.”

India announces energy deal with the U.S. Nearly 10% of New Delhi’s liquified petroleum gas will be imported from the U.S., said Hardeep Singh Puri, Indian union minister of petroleum and natural gas, on Monday. It’s a move to shore up ties with the White House.

[PRO] Bitcoin’s downward trend could portend trouble. The price of the cryptocurrency, which has been under pressure, is a “leading indicator” for U.S. stocks, an analyst told CNBC. But others think bitcoin still has tailwinds behind it even in the near term.

And finally…

A Swiss national flag on a ferry on Lake Geneva in Geneva, Switzerland, on Tuesday, Aug. 5, 2025. The Swiss president dashed to the US capital Tuesday in a last-minute attempt to prevent her American counterpart from imposing the highest tariff of any developed nation on Switzerland.  Photographer: Andrew Kravchenko/Bloomberg via Getty Images

Bloomberg | Bloomberg | Getty Images

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Arm custom chips get a boost with Nvidia partnership

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Arm custom chips get a boost with Nvidia partnership

Jensen Huang, CEO of Nvidia, reacts during the 2025 Asia-Pacific Economic Cooperation (APEC) CEO Summit in Gyeongju, South Korea, October 31, 2025.

Kim Soo-hyeon | Reuters

Arm on Monday said that central processing units based on its technology will be able to integrate with AI chips using Nvidia’s NVLink Fusion technology.

The move will make it easier for customers of both companies who prefer a custom approach to their infrastructure — namely hyperscalers —to pair Arm-based Neoverse CPUs with Nvidia’s dominant graphics processing units.

It’s the latest example of Nvidia using dealmaking to partner with nearly every major technology company as it finds itself at the center of the AI industry. The announcement signals that Nvidia is opening up its NVLink platform to integrate with a wide variety of custom chips, instead of forcing customers to use its CPUs.

Nvidia currently sells an AI product called Grace Blackwell that pairs multiple GPUs with an Nvidia-branded Arm-based CPU. Other configurations include servers that use CPus from Intel or Advanced Micro Devices.

But Microsoft, Amazon and Google are all developing or deploying Arm-based CPUs in their clouds to give them more control over the set ups and reduce their costs.

Arm doesn’t make CPUs but it licenses its instruction set technology that those chips need. The company also sells designs that allow partners to more quickly build Arm-based chips.

As part of Monday’s announcement, Arm said that custom Neoverse chips will include a new protocol that’ll allow them to move data seamlessly with GPUs.

The CPU has historically been the most important part in a server. But generative AI infrastructure is based around the AI accelerator chip, which in most cases is an Nvidia GPU. As many as eight GPUs can be paird with a CPU in an AI server.

In September, Nvidia said it would invest $5 billion into Intel, the leading CPU maker. A key part of the deal was to enable Intel CPUs to integrate into AI servers using Nvidia’s NVLink technology.

Nvidia reached an agreement to buy Arm for $40 billion in 2020, but the deal failed in 2022 because of regulatory issues in the U.S. and U.K. Nvidia had a small stake in Arm, which is majority-owned by Softbank, as of February.

Meanwhile, Softbank liquidated its entire stake in Nvidia earlier this month and Softbank is backing the OpenAI Stargate project, which plans to use Arm technology in addition to chips from Nvidia and AMD.

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