Microsoft Plans to Launch Quantum Computing in the Cloud

Microsoft’s cloud computing platform will soon offer select customers access to quantum computers. More specifically, the three prototype quantum computers are from Honeywell and two startups, IonQ (spun out from the University of Maryland) and QCI (spun out of Yale University). Quantum computing isn’t ready for any real work, but Microsoft, like its rivals IBM and Google, wants to stake out a presence in the nascent field. Microsoft Quantum general manager Krysta Svore noted, “we need a global community.” Continue reading Microsoft Plans to Launch Quantum Computing in the Cloud

AI Development Accelerates, Chips Speed Model Training

At VentureBeat’s Transform 2019 conference in San Francisco, Intel vice president/chief technology officer of AI products Amir Khosrowshahi and IoT general manager Jonathan Ballon discussed the evolution of AI adoption. A Lopez Research survey revealed that 86 percent of companies believe AI will be strategic to their business, but only 36 percent of them report having made “meaningful progress.” Khosrowshahi pointed out that more companies than ever have access to the necessary data, tools and training. Continue reading AI Development Accelerates, Chips Speed Model Training

IBM to Take on Competitors With Its Hybrid Cloud Strategy

IBM has a new strategy to compete with Amazon, Microsoft, Google and Alibaba in cloud computing: it spent $34 billion to acquire Red Hat, which specializes in open source software tools to write cloud computing applications. Red Hat already has partnerships with all the major cloud providers. IBM, a latecomer to this highly competitive sector, is presenting itself as a neutral party to those concerned about becoming too dependent on a single player. For this reason, Germany also has plans to build its own cloud infrastructure. Continue reading IBM to Take on Competitors With Its Hybrid Cloud Strategy

Nvidia EGX Brings AI Computing to the Edge, Enabling IoT

Nvidia’s new EGX Platform will bring AI computing to the edge, meaning it will take place at the sensors, before being sent to cloud-based data centers. The platform is intended to handle the immense growth in sensors embedded in Internet of Things devices and wearables, which has resulted in a massive amount of raw data. According to Nvidia senior director of enterprise and edge computing Justin Boitano, “we will soon hit a crossover point where there is more computing power at the edge than in data centers.” Continue reading Nvidia EGX Brings AI Computing to the Edge, Enabling IoT

Etsy Turns to Google Cloud to Improve Search, Boost Sales

Etsy, the online crafts marketplace, boasts more than 60 million unique items and is using Google’s machine learning technology to help boost sales. Because more than 80 percent of its search-based purchases come from the first page of results, it is crucial to provide relevant items on that page. With that in mind, Etsy started a move to Google Cloud in 2017, motivated by the platform’s artificial intelligence capabilities. About three-fourths done with the migration, it’s already seen $260 million in incremental gross sales.

Continue reading Etsy Turns to Google Cloud to Improve Search, Boost Sales

Intel, Researchers Team to Address Security Flaws in Chips

Intel and micro-architecture security researchers discovered new vulnerabilities in the company’s chipsets that allow hackers to “eavesdrop” on all processed raw data. Four attacks showed similar techniques, which Intel dubbed Microarchitectural Data Sampling (MDS) and the researchers have named ZombieLoad, Fallout and Rogue In-Flight Data Load (RIDL). The discovery comes more than a year after Intel and AMD identified Meltdown and Spectre, two major security flaws. AMD and ARM chips are not vulnerable to these new attacks. Continue reading Intel, Researchers Team to Address Security Flaws in Chips

At $30 Million/Month, Apple Is Major User of Amazon Cloud

In January 2018, Apple earmarked $10 billion to build its own U.S.-based data centers in the next five years. In a December update, the company added that $4.5 billion of that would be spent in 2019. For now, however, Apple is on track to spend $30+ million per month on Amazon Web Services (AWS). The companies may be rivals, but Apple has come to depend on AWS as a way to deliver competitive online services. That’s become crucial, as sales of iPhones have slowed and the company has turned to online services to pick up the slack. Continue reading At $30 Million/Month, Apple Is Major User of Amazon Cloud

Equinix Selected for Google’s Subsea Cable Landing Station

Google has selected Equinix for its Los Angeles cable landing station that will support the Curie subsea cable system to Chile. The high-capacity subsea cable, expected to go live this year, will connect in El Segundo, California at the Equinix LA4 International Business Exchange data center. “With the significant increase in global data traffic, we see corporations running global businesses demanding access to high-capacity, low-latency networks capable of connecting them to data centers across oceans with stringent levels of reliability,” said Equinix VP of business development Jim Poole. Continue reading Equinix Selected for Google’s Subsea Cable Landing Station

Alphabet Revenue Robust, But Costs of Diversification Grow

Alphabet’s revenue is booming, but its costs are also increasing, the result of its efforts to diversify beyond online advertising. Thus, although Internet search showed very strong returns, Alphabet shares fell in after-hours trading due to its shrinking margins and slower revenue growth. In addition to its Google search engine, Alphabet comprises YouTube and Waymo self-driving car divisions. The parent company’s increased spending on those two divisions in Q4 pushed margins down to 21 percent from 24 percent a year earlier. Continue reading Alphabet Revenue Robust, But Costs of Diversification Grow

Augmented Reality Drives Need for New Cloud Infrastructure

The potential of augmented reality is massive but despite software development kits including Apple’s ARKit, Google’s ARCore, Amazon Sumerian and Microsoft’s Mixed Reality ecosystem, actual implementations have been limited. That’s because the current cloud infrastructure constrains actual consumer-facing AR projects. The popularity of “Pokémon Go” in summer of 2016 was an example of that; at the first Pokémon Go Fest in Chicago, 20,000 players experienced slowdowns and outages due to constrained network bandwidth. Continue reading Augmented Reality Drives Need for New Cloud Infrastructure

CES Panel: Building the Quantum Internet With 6G, Intention

Axios chief technology correspondent Ina Fried asked why we’re talking about 6G when 5G is just beginning to make an appearance. “Before we get into what comes after 5G, how ready are we to connect billions of devices?” she asked. She got a quick answer from Public Knowledge cybersecurity policy director Megan Stifel. “We’re getting there, but we’re not there yet,” she said. “At least we’re beginning to see companies think about ‘secure to market,’ but there is no core baseline required. This keeps me up at night.” Continue reading CES Panel: Building the Quantum Internet With 6G, Intention

Tech Companies Challenge Intel by Building Their Own Chips

Amazon revealed last month that it had spent the previous few years building a chip for use in its worldwide data centers. It’s not alone; Apple and Google also seek to design and manufacture their own chips, as part of a cost-saving strategy. Intel, which thus far hasn’t had much competition, will feel the impact as its own customers undercut the company’s annual $412 billion in sales. Amazon’s massive need for chips means it will likely continue to buy from Intel, with which it will enjoy a better bargaining position. Continue reading Tech Companies Challenge Intel by Building Their Own Chips

Amazon Unveils Graviton, Its Own ARM Chips for Data Centers

In a surprise announcement, Amazon revealed that it is making its own chips, dubbed Graviton, for its cloud computing division. Similarly, Google also recently stated its plans to create chips for artificial intelligence algorithms in its data center. Amazon’s chips are likewise targeting its data centers, where the company hopes to better integrate software and hardware, resulting in less expensive services for customers. Typically, companies like Amazon and Google would use AMD or Intel’s off-the-shelf chips. Continue reading Amazon Unveils Graviton, Its Own ARM Chips for Data Centers

AMD Debuts Zen 2 Chip Architecture, Turns to Chiplet Design

Advanced Micro Devices (AMD) debuted Zen 2 processor architecture, a follow-up to the Zen design introduced in March 2017, to be launched beginning in 2019. AMD chief executive Lisa Su said the Zen 2 doubles performance of the first Zen generation, which itself could process 52 percent more instructions per clock cycle than its previous generation. The company hopes its new processors will help it surpass or at least maintain parity with Intel processors. AMD is also relying on new chiplet design to maintain growth. Continue reading AMD Debuts Zen 2 Chip Architecture, Turns to Chiplet Design

Amid Record Profits, Samsung Faces a Slowing Chip Market

Samsung Electronics reported an approximately 20 percent increase in operating profit for the latest quarter from a year earlier, resulting in a record high profit of about $15 billion. But that sudden lift may not last. According to industry experts, the higher numbers are due to increased demand for memory chips for use in data centers and smartphones. Samsung and other chipmakers invested to expand production, but now demand for smartphones (and other consumer electronics) is reaching a plateau. Continue reading Amid Record Profits, Samsung Faces a Slowing Chip Market

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