Архив рубрики: Enterprise

Pliops lands $100M for chips that accelerate analytics in data centers

Analyzing data generated within the enterprise — for example, sales and purchasing data — can lead to insights that improve operations. But some organizations are struggling to process, store and use their vast amounts of data efficiently. According to an IDC survey commissioned by Seagate, organizations collect only 56% of the data available throughout their lines of business, and out of that 56%, they only use 57%.

Part of the problem is that data-intensive workloads require substantial resources, and that adding the necessary compute and storage infrastructure is often expensive. For companies moving to the cloud specifically, IDG reports that they plan to devote $78 million toward infrastructure this year. Thirty-six percent cited controlling costs as their top challenge.
That’s why Uri Beitler launched Pliops, a startup developing what he calls “data processors” for enterprise and cloud data centers. Pliop’s processors are engineered to boost the performance of databases and other apps that run on flash memory, saving money in the long run, he claims.
“It became clear that today’s data needs are incompatible with yesterday’s data center architecture. Massive data growth has collided with legacy compute and storage shortcomings, creating slowdowns in computing, storage bottlenecks and diminishing networking efficiency,” Beitler told TechCrunch in an email interview. “While CPU performance is increasing, it’s not keeping up, especially where accelerated performance is critical. Adding more infrastructure often proves to be cost prohibitive and hard to manage. As a result, organizations are looking for solutions that free CPUs from computationally intensive storage tasks.”
Pliops isn’t the first to market with a processor for data analytics. Nvidia sells the BlueField-3 data processing unit (DPU). Marvell has its Octeon technology. Oracle’s SPARC M7 chip has a data analytics accelerator coprocessor with a specialized set of instructions for data transformation. And in the realm of startups, Blueshift Memory and Speedata are creating hardware that they say can perform analytics tasks significantly faster than standard processors.
Image Credits: Pliops
But Pliops claims to be further along than most, with deployments and pilots with customers (albeit unnamed) including fintechs, “medium-sized” communication service providers, data center operators and government labs. The startup’s early traction won over investors, it would seem, which poured $100 million into its Series D round that closed today.
Koch Disruptive Technologies led the tranche, with participation from SK Hynix and Walden International’s Lip-Bu Tan, bringing Pliops’ total capital raised to date to more than $200 million. Beitler says that it’ll be put toward building out the company’s hardware and software roadmap, bolstering Pliops’ footprint with partners and expanding its international headcount.
“Many of our customers saw tremendous growth during the COVID-19 pandemic, thanks in part to their ability to react quickly to the new work environment and conditions of uncertainty. Pliops certainly did. While some customers were affected by supply chain issues, we were not,” Beitler said. “We do not see any slowdown in data growth — or the need to leverage it. Pliops was strong before this latest funding round and even stronger now.”
Accelerating data processing
Beitler, the former director of advanced memory solutions at Samsung’s Israel Research Center, co-founded Pliops in 2017 alongside Moshe Twitto and Aryeh Mergi. Twitto was a research scientist at Samsung developing signal processing technologies for flash memory, while Mergi co-launched a number of startups — including two that were acquired by EMC and SanDisk — prior to joining Pliops.
Pliop’s processor delivers drive fail protection for solid-state drives (SSD) as well as in-line compression, a technology that shrinks the size of data by finding identical data sequences and then saving only the first sequence. Beitler claims the company’s technology can reduce drive space while expanding capacity, mapping “variable-sized” compressed objects within storage to reduce wasted space.
A core component of Pliops’ processor is its hardware-accelerated key-value storage engine. In key-value databases — databases where data is stored in a “key-value” format and optimized for reading and writing — key-value engines manage all the persistent data directly. Beitler makes the case that CPUs are typically over-utilized when running these engines, resulting in apps not taking full advantage of SSD’s capabilities.
“Organizations are looking for solutions that free CPUs from computationally-intensive storage tasks. Our hardware helps create a modern data center architecture by leveraging a new generation of hardware-accelerated data processing and storage management technology — one that delivers orders of magnitude improvement in performance, reliability and scalability,” Beitler said. “In short, Pliops enables getting more out of existing infrastructure investments.”
Pliops’ processor became commercially available last July. The development team’s current focus is accelerating the ingest of data for machine learning use cases, Beitler says — use cases that have grown among Pliops’ current and potential customers.
Image Credits: Pliops
The road ahead
Certainly, Pliops has its work cut out for it. Nvidia is a formidable competitor in the data processing accelerator space, having spent years developing its BlueField lineup. And AMD acquired DPU vendor Pensando for $1.9 billion, signaling its wider ambitions.
A move that could pay dividends for Pliops is joining the Open Programmable Infrastructure Project (OPI), a relatively new venture under the Linux Foundation that aims to create standards around data accelerator hardware. While Pliops isn’t a member yet — current members include Intel, Nvidia, Marvell, F5, Red Hat, Dell and Keysight Technologies — it stands to reason that becoming one could expose its technology to a larger customer base.
Beitler demurred when asked about OPI, but pointed out that the market for data acceleration is still nascent and growing.
“We continue to see both infrastructure and application teams being overwhelmed with underperforming storage and overwhelmed applications that aren’t meeting company’s data demands,” Beitler said. “The overall feedback is that our processor is a game-changing product and without it companies are required to make years of investments in software and hardware engineering to solve the same problem.”
Pliops lands $100M for chips that accelerate analytics in data centers

Amazon launches AWS Private 5G so companies can build their own 4G mobile networks

Amazon’s cash-cow cloud division AWS has launched a new service designed to help companies deploy their own private 5G networks — eventually, at least.
AWS first announced AWS Private 5G in early preview late last year, but it’s now officially available to AWS customers starting in its U.S. East (Ohio), U.S. East (N. Virginia), and U.S. West (Oregon) regions, with plans to roll it out internationally “in the near future.”
But — and this is a big “but” — despite its name, AWS Private 5G currently only supports 4G LTE.
“It supports 4G LTE today, and will support 5G in the future, both of which give you a consistent, predictable level of throughput with ultra low latency,” AWS chief evangelist Jeff Barr wrote in a blog post.
With AWS Private 5G, companies order the hardware (a radio unit) and a bunch of special SIM cards directly from AWS, and AWS then provides all the necessary software and APIs (application programming interfaces) to enable businesses to set up their own private mobile network on-site. This incorporates the AWS Management Console, through which users specify where they want to build their network and their required capacity, with AWS automating the network setup and deployment once the customer has activated their small-cell radio units.
Crucially, the AWS-managed network infrastructure plays nicely with other AWS services, including its Identity and Access Management (IAM) offering, which enables IT to control who and what devices can access the private network. AWS Private 5G also channels into Amazon’s CloudWatch observability service, which provides insights into the network’s health, among other useful data points.
In terms of costs, AWS charges $10 per hour for each radio unit it installs, with each radio supporting speeds of 150 Mbps across up to 100 SIMs (i.e. individual devices). On top of that, AWS will bill for all data that transfers outwards to the internet, charged at Amazon’s usual EC2 (Elastic Compute Cloud) rates.
So in effect, Amazon is promising industries — such as smart factories or other locations (remote or otherwise) with high-bandwidth requirements — instant, localized 5G, while shoehorning them onto its sticky cloud infrastructure where the usual fees apply.
Public vs private
It’s clear that 5G has the potential to transform many industries, and will be the bedrock of everything from robotics and self-driving cars to virtual reality and beyond. But public 5G networks, which is what most consumers with 5G-enabled devices currently rely on, have limited coverage and the bandwidth may be shared by million of users. On top of that, companies have little control over the network, even if their premises are within range of the network. And that is why private 5G networks are an appealing proposition, particularly for enterprises with mission-critical applications that demand low-latency data transfers round-the-clock.
AWS Private 5G uses Citizen Broadband Radio Service (CBRS), a shared 3.5 GHz wireless spectrum that the Federal Communications Commission (FCC) authorized in early 2020 for use in commercial environments, as it had previously been reserved for the Department of Defense (DoD). So this update essentially opened CBRS to myriad use-cases, including businesses looking to build new 5G services, or extend existing 4G/LTE services.
At the same time, the FCC announced key Spectrum Access System (SAS) administrators who would be authorized to manage wireless communications in the CBRS band, a process effectively designed to protect “high priority” users (e.g. the DoD) from interference. Any device connecting to the CBRS spectrum needs authorization from a SAS administrator, which today includes Google, Sony, CommScope, Federated Wireless, Key Bridge Wireless and Amdocs.

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And this is a key component of the new AWS Private 5G service — it’s fully-integrated into the SAS administration process, with AWS managing everything on behalf of the customer, including taking on responsibility for interference issues among other troubleshooting tidbits relating to spectrum access.
So Amazon’s new private 5G offering is perhaps something of a misnomer as it stands today, insofar as it currently only supports 4G LTE. But the OnGo Alliance (then called the CBRS Alliance) completed its 5G specs for CBRS more than two years ago now, and the intervening months have been about setting the foundation to enable fully commercial 5G services — just yesterday, Samsung Electronics America announced a partnership with Kajeet to deploy a new private 5G network on CBRS.
But while “AWS Private 5G” is a nod to what it’s built to support in the future, the current branding may cause some consternation among interested parties seeking local 5G deployments today.
Amazon launches AWS Private 5G so companies can build their own 4G mobile networks

Google delays move away from cookies in Chrome to 2024

Google is again delaying plans to phase out Chrome’s use of third-party cookies — the files websites use to remember preferences and track online activity. In a blog post, Anthony Chavez, Google’s VP of Privacy Sandbox, said that the company is now targeting the “second half of 2024” as the timeframe for adopting an alternative technology.
It’ll be a long time coming. Last June, Google said it would depreciate cookies in the second half of 2023. Before then, in January 2020, the company pledged to make the switch by 2022.
“We’ve worked closely to refine our design proposals based on input from developers, publishers, marketers, and regulators via forums,” Chavez wrote. “The most consistent feedback we’ve received is the need for more time to evaluate and test the new … technologies before deprecating third-party cookies in Chrome.”
Google’s efforts to move away from cookies date back to 2019, when the company announced a long-term roadmap to adopt ostensibly more private ways of tracking web users. The linchpin is Privacy Sandbox, which aims to create web standards that power advertising without the use of so-called “tracking” cookies. Tracking cookies, used to personalize ads, can capture a person’s web history and remain active for years without their knowledge.
Privacy Sandbox proposes using an in-browser algorithm, Federated Learning of Cohorts (FLoC), to analyze a users’ activity and generate a “privacy-preserving” ID that can be used by advertisers for targeting. Google claims that FLoC is more anonymous than cookies, but the Electronic Frontier Foundation has described it as “the opposite of privacy-preserving technology” and akin to a “behavioral credit score.”
Privacy Sandbox has also prompted regulators to investigate whether Google’s adtech aims are anticompetitive. In January 2021, the Competition and Markets Authority (CMA) in the U.K. announced plans to focus on Privacy Sandbox’s potential impacts on both publishers and users. And in March, 15 attorneys general of U.S. states and Puerto Rico amended an antitrust complaint filed the previous December saying that the changes in the Privacy Sandbox would require advertisers to use Google as a middleman in order to advertise.
Google earlier this year reached an agreement with the CMA on how it develops and releases Privacy Sandbox in Chrome, which will include working with the CMA to “resolve concerns” and consulting and updating the CMA and the U.K.’s Information Commissioner’s Office on an ongoing basis.
In the meantime, Chavez says that Google will expand a trial of its Privacy Sandbox technologies to “millions” of Chrome users beginning in August. It’ll then gradually increase the trial population throughout the year into 2023, offering an opt-out option to users who don’t wish to participate.
Google now expects Privacy Sandbox APIs to be launched and generally available in Chrome by the third quarter of 2023.
“Improving people’s privacy, while giving businesses the tools they need to succeed online, is vital to the future of the open web,” Chavez wrote. “As the web community tests these APIs, we’ll continue to listen and respond to feedback.”
Google delays move away from cookies in Chrome to 2024

Datch secures $10M to build voice assistants to factory floors

Datch, a company that develops AI-powered voice assistants for industrial customers, today announced that it raised $10 million in a Series A round led by Blackhorn Ventures. The proceeds will be used to expand operations, CEO Mark Fosdike said, as well as develop new software support, tools and capabilities.
Datch started when Fosdike, who has a background in aerospace engineering, met two former Siemens engineers — Aric Thorn and Ben Purcell. They came to the collective realization that voice products built for business customers have to overcome business-specific challenges, like understanding jargon, acronyms and syntax unique to particular customers.
“The way we extract information from systems changes every year, but the way we input information — especially in the industrial world — hasn’t changed since the invention of the keyboard and database,” Fosdike said. “The industrial world had been left in the dark for years, and we knew that developing a technology with voice-visual AI would help light the way for these factories.”
The voice assistants that Datch builds leverage AI to collect and structure data from users in a factory or in the field, parsing commands like “Report an issue for the Line 1 Spot Welder. I estimate it will take half a day to fix.” They run on a smartphone and link to existing systems to write and read records, including records from enterprise resource and asset management platforms.
Datch’s assistants provide a timeline of events and can capture data without an internet connection; they auto-sync once back online. Using them, workers can fill out company forms, create and update work orders, assign tasks and search through company records all via voice.
Fosdike didn’t go into detail about how Datch treats the voice data, save that it encrypts data both in-transit and at rest and performs daily backups.
“We have to employ a lot of tight, automated feedback loops to train the voice and [language] data, and so everyone’s interaction with Datch is slightly different, depending on the company and team they work within,” Fosdike explained. “Customers are exploring different use cases such as using the [language] data in predictive maintenance, automated classification of cause codes, and using the voice data to predict worker fatigue before it becomes a critical safety risk.”
That last bit about predicting worker fatigue is a little suspect. The idea that conditions like tiredness can be detected in a person’s voice isn’t a new one, but some researchers believe it’s unlikely AI can flag them with 100% accuracy. After all, people express tiredness in different ways, depending not only on the workplace environment but on their sex and cultural, ethnic and demographic backgrounds.
The tiredness-detecting scenario aside, Fosdike asserts that Datch’s technology is helping industrial clients get ahead of turbulence in the economy by “vastly improving” the efficiency of their operations. Frontline staff typically have to work with reporting tools that aren’t intuitive, he notes, and in many cases, voice makes for a less cumbersome, faster alternative form of input.
“We help frontline workers with productivity and solve the pain point of time wasted on their reports by decreasing the process time,” Fosdike said. “Industrial companies are fast realizing that to keep up with demand or position themselves to withstand a global pandemic, they need to find a way to scale with more than just peoplepower. Our AI offers these companies an efficient solution in a fraction of the time and with less overhead needed.”
Datch competes with Rain, Aiqudo and Onvego, all of which are developing voice technologies for industrial customers. Deloitte’s Maxwell, Genba and Athena are rivals in Fosdike’s eyes, as as well. But business remains steady — Datch counts ConEd, Singapore Airlines, ABB Robotics and the New York Power Authority among its clients.
“We raised this latest round earlier than expected due to the influx of demand from the market. The timing is right to capitalize on both the post-COVID boom in digital transformation as well as corporate investments driven by the infrastructure bill,” Fosdike said, referring to the $1 trillion package U.S. lawmakers passed last November. “Currently we have a team of 20, and plan to use the funds to grow to 55 to 60 people, scaling to roughly 40 by the end of the year.”
To date, Datch has raised $15 million in venture capital.
Datch secures $10M to build voice assistants to factory floors

WhatsApp ramps up revenue with global launch of Cloud API and soon, a paid tier for its Business App

WhatsApp is continuing its push into the business market with today’s news it’s launching the WhatsApp Cloud API to all businesses worldwide. Introduced into beta testing last November, the new developer tool is a cloud-based version of the WhatsApp Business API — WhatsApp’s first revenue-generating enterprise product — but hosted on parent company Meta’s infrastructure.
The company had been building out its Business API platform over the past several years as one of the key ways the otherwise free messaging app would make money. Businesses pay WhatsApp on a per-message basis, with rates that vary based on the region and number of messages sent. As of late last year, tens of thousands of businesses were set up on the non-cloud-based version of the Business API including brands like Vodafone, Coppel, Sears Mexico, BMW, KLM Royal Dutch Airlines, Iberia Airlines, Itau Brazil, iFood, Bank Mandiri and others. This on-premise version of the API is free to use.
The cloud-based version, however, aims to attract a market of smaller businesses and reduces the integration time from weeks to only minutes, the company had said. It is also free.
Businesses integrate the API with their back-end systems, where WhatsApp communication is usually just one part of their messaging and communication strategy. They may also want to direct their communications to SMS, other messaging apps, emails and more. Typically, businesses would work with a solutions provider like Zendeks or Twilio to help facilitate these integrations. Providers during the cloud API beta tests had included Zendesk in the U.S., Take in Brazil and MessageBird in the E.U.
During Meta’s messaging-focused “Conversations” live event today, Meta CEO Mark Zuckerberg announced the global, public availability of the cloud-based platform, now called the WhatsApp Cloud API.
“The best business experiences meet people where they are. Already more than 1 billion users connect with a business account across our messaging services every week. They’re reaching out for help, to find products and services, and to buy anything from big-ticket items to everyday goods. And today, I am excited to announce that we’re opening WhatsApp to any business of any size around the world with WhatsApp Cloud API,” he said.
He said the company believes the new API will help businesses, both big and small, be able to connect with more people.
In addition to helping businesses and developers get set up faster than with the on-premise version, Meta says the Cloud API will help partners to eliminate costly server expenses and help them provide customers with quick access to new features as they arrive.
Some businesses may choose to forgo the API and use the dedicated WhatsApp Business app instead. Launched in 2018, the WhatsApp Business App is aimed at smaller businesses that want to establish an official presence on WhatsApp’s service and connect with customers. It provides a set of features that wouldn’t be available to users of the free WhatsApp messaging app, like support automated quick replies, greeting messages, FAQs, away messaging, statistics and more.
Today, Meta is also introducing new power features for its WhatsApp Business app that will be offered for a fee — like the ability to manage chats across up to 10 devices. The company will also provide new customizable WhatsApp click-to-chat links that help businesses attract customers across their online presence, including of course, Meta’s other applications like Facebook and Instagram.
These will be a part of a forthcoming Premium service for WhatsApp Business app users. Further details, including pricing, will be announced at a later date.
WhatsApp ramps up revenue with global launch of Cloud API and soon, a paid tier for its Business App