Feb
20
2019
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Arm expands its push into the cloud and edge with the Neoverse N1 and E1

For the longest time, Arm was basically synonymous with chip designs for smartphones and very low-end devices. But more recently, the company launched solutions for laptops, cars, high-powered IoT devices and even servers. Today, ahead of MWC 2019, the company is officially launching two new products for cloud and edge applications, the Neoverse N1 and E1. Arm unveiled the Neoverse brand a few months ago, but it’s only now that it is taking concrete form with the launch of these new products.

“We’ve always been anticipating that this market is going to shift as we move more towards this world of lots of really smart devices out at the endpoint — moving beyond even just what smartphones are capable of doing,” Drew Henry, Arms’ SVP and GM for Infrastructure, told me in an interview ahead of today’s announcement. “And when you start anticipating that, you realize that those devices out of those endpoints are going to start creating an awful lot of data and need an awful lot of compute to support that.”

To address these two problems, Arm decided to launch two products: one that focuses on compute speed and one that is all about throughput, especially in the context of 5G.

ARM NEOVERSE N1

The Neoverse N1 platform is meant for infrastructure-class solutions that focus on raw compute speed. The chips should perform significantly better than previous Arm CPU generations meant for the data center and the company says that it saw speedups of 2.5x for Nginx and MemcacheD, for example. Chip manufacturers can optimize the 7nm platform for their needs, with core counts that can reach up to 128 cores (or as few as 4).

“This technology platform is designed for a lot of compute power that you could either put in the data center or stick out at the edge,” said Henry. “It’s very configurable for our customers so they can design how big or small they want those devices to be.”

The E1 is also a 7nm platform, but with a stronger focus on edge computing use cases where you also need some compute power to maybe filter out data as it is generated, but where the focus is on moving that data quickly and efficiently. “The E1 is very highly efficient in terms of its ability to be able to move data through it while doing the right amount of compute as you move that data through,” explained Henry, who also stressed that the company made the decision to launch these two different platforms based on customer feedback.

There’s no point in launching these platforms without software support, though. A few years ago, that would have been a challenge because few commercial vendors supported their data center products on the Arm architecture. Today, many of the biggest open-source and proprietary projects and distributions run on Arm chips, including Red Hat Enterprise Linux, Ubuntu, Suse, VMware, MySQL, OpenStack, Docker, Microsoft .Net, DOK and OPNFV. “We have lots of support across the space,” said Henry. “And then as you go down to that tier of languages and libraries and compilers, that’s a very large investment area for us at Arm. One of our largest investments in engineering is in software and working with the software communities.”

And as Henry noted, AWS also recently launched its Arm-based servers — and that surely gave the industry a lot more confidence in the platform, given that the biggest cloud supplier is now backing it, too.

Jan
10
2019
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Daily Crunch: How the government shutdown is damaging cybersecurity and future IPOs

The Daily Crunch is TechCrunch’s roundup of our biggest and most important stories. If you’d like to get this delivered to your inbox every day at around 9am Pacific, you can subscribe here:

1. How Trump’s government shutdown is harming cyber and national security
The government has been shut down for nearly three weeks, and there’s no end in sight. While most of the core government departments — State, Treasury, Justice and Defense — are still operational, others like Homeland Security, which takes the bulk of the government’s cybersecurity responsibilities, are suffering the most.

2. With SEC workers offline, the government shutdown could screw IPO-ready companies
The SEC has been shut down since December 27 and only has 285 of its 4,436 employees on the clock for emergency situations. While tech’s most buzz-worthy unicorns like Uber and Lyft won’t suffer too much from the shutdown, smaller businesses, particularly those in need of an infusion of capital to continue operating, will bear the brunt of any IPO delays.

3. The state of seed 

In 2018, seed activity as a percentage of all deals shrank from 31 percent to 25 percent — a decade low — while the share and size of late-stage deals swelled to record highs.

4. Banking startup N26 raises $300 million at $2.7 billion valuation

N26 is building a retail bank from scratch. The company prides itself on the speed and simplicity of setting up an account and managing assets. In the past year, N26’s valuation has exploded as its user base has tripled, with nearly a third of customers paying for a premium account.

5. E-scooter startup Bird is raising another $300M 

Bird is reportedly nearing a deal to extend its Series C round with a $300 million infusion led by Fidelity. The funding, however, comes at a time when scooter companies are losing steam and struggling to prove that its product is the clear solution to last-mile transportation.

6. AWS gives open source the middle finger 

It’s no secret that AWS has long been accused of taking the best open-source projects and re-using and re-branding them without always giving back to those communities.

7. The Galaxy S10 is coming on February 20 

Looks like Samsung is giving Mobile World Congress the cold shoulder and has decided to announce its latest flagship phone a week earlier in San Francisco.

Jan
08
2019
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IBM unveils its first commercial quantum computer

At CES, IBM today announced its first commercial quantum computer for use outside of the lab. The 20-qubit system combines into a single package the quantum and classical computing parts it takes to use a machine like this for research and business applications. That package, the IBM Q system, is still huge, of course, but it includes everything a company would need to get started with its quantum computing experiments, including all the machinery necessary to cool the quantum computing hardware.

While IBM describes it as the first fully integrated universal quantum computing system designed for scientific and commercial use, it’s worth stressing that a 20-qubit machine is nowhere near powerful enough for most of the commercial applications that people envision for a quantum computer with more qubits — and qubits that are useful for more than 100 microseconds. It’s no surprise then, that IBM stresses that this is a first attempt and that the systems are “designed to one day tackle problems that are currently seen as too complex and exponential in nature for classical systems to handle.” Right now, we’re not quite there yet, but the company also notes that these systems are upgradable (and easy to maintain).

“The IBM Q System One is a major step forward in the commercialization of quantum computing,” said Arvind Krishna, senior vice president of Hybrid Cloud and director of IBM Research. “This new system is critical in expanding quantum computing beyond the walls of the research lab as we work to develop practical quantum applications for business and science.”

More than anything, though, IBM seems to be proud of the design of the Q systems. In a move that harkens back to Cray’s supercomputers with its expensive couches, IBM worked with design studios Map Project Office and Universal Design Studio, as well Goppion, the company that has built, among other things, the display cases that house the U.K.’s crown jewels and the Mona Lisa. IBM clearly thinks of the Q system as a piece of art and, indeed, the final result is quite stunning. It’s a nine-foot-tall and nine-foot-wide airtight box, with the quantum computing chandelier hanging in the middle, with all of the parts neatly hidden away.

If you want to buy yourself a quantum computer, you’ll have to work with IBM, though. It won’t be available with free two-day shipping on Amazon anytime soon.

In related news, IBM also announced the IBM Q Network, a partnership with ExxonMobil and research labs like CERN and Fermilab that aims to build a community that brings together the business and research interests to explore use cases for quantum computing. The organizations that partner with IBM will get access to its quantum software and cloud-based quantum computing systems.

CES 2019 coverage - TechCrunch

Jan
07
2019
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Daily Crunch: Nvidia breaks with tradition at CES 2019

The Daily Crunch is TechCrunch’s roundup of our biggest and most important stories. If you’d like to get this delivered to your inbox every day at around 9am Pacific, you can subscribe here:

1. Nvidia launches the $349 GeForce RTX 2060

Nvidia broke with tradition and put a new focus on gaming at CES. Last night the company unveiled the RTX 2060, a $349 low-end version of its new Turing-based desktop graphics cards. The RTX 2060 will be available on Jan. 15.

2. Elon Musk’s vision of spaceflight is gorgeous 

This spring SapceX intends to launch the next phase in its space exploration plans. The newly named Starship rocket, previously known as the BFR, intends to to be rocket to rule them all. And it’s going to look good doing it.

3. Apple’s increasingly tricky international trade-offs

Far from its troubles in emerging markets like China, Apple is starting to face backlash from a European population that’s crying foul over the company’s perceived hypocrisy on data privacy. It’s become clear that Apple’s biggest success is now its biggest challenge in Europe.

Photo by Justin Sullivan/Getty Images

4. Marc Andreessen: audio will be “titanically important” and VR will be “1,000” times bigger than AR

In a recently recorded podcast Marc Andreesen gave some predictions on the future of the tech industry. Surprisingly, the all-start investor is continuing his support of the shaky VR industry saying that expanding the immersive world will require us to remove the head-mounted displays we’ve become accustomed to.

5. Fitness marketplace ClassPass acquires competitor GuavaPass

ClassPass, the five-year-old fitness marketplace, is in the midst of an expansion sprint. The company announced yesterday that it’s acquiring one it competitors, GuavaPass, for an undisclosed amount to expand into Asia. The move now puts ClassPass in more than 80 markets across the 11 countries, with plans to expand to 50 new cities in 2019.

6. Apple shows off new smart home products from HomeKit partners

Apple gave a snapshot of its future smart home ecosystem at CES. Looks like an array of smart light switches, door cameras, electrical outlets and more are on the way and will be configurable through the Home app and Siri.

7. Parcel Guard’s smart mailbox protects your packages from porch thieves

Danby is showing off its newly launched smart mailbox called Parcel Guard at CES, which allows deliveries to be left securely at customers’ doorsteps. Turns out you won’t need a farting glitter bomb to protect your packages after all. The Parcel Guard starts at $399 and pre-orders are will be available this week.

Dec
18
2018
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Ex-Googlers meld humans & machines at new cobotics startup Formant

Our distinct skill sets and shortcomings mean people and robots will join forces for the next few decades. Robots are tireless, efficient and reliable, but in a millisecond through intuition and situational awareness, humans can make decisions machine can’t. Until workplace robots are truly autonomous and don’t require any human thinking, we’ll need software to supervise them at scale. Formant comes out of stealth today to “help people speak robot,” says co-founder and CEO Jeff Linnell. “What’s really going to move the needle in the innovation economy is using humans as an empowering element in automation.”

Linnell learned the grace of uniting flesh and steel while working on the movie Gravity. “We put cameras and Sandra Bullock on dollies,” he bluntly recalls. Artistic vision and robotic precision combined to create gorgeous zero-gravity scenes that made audiences feel weightless. Google bought his startup Bot & Dolly, and Linnell spent four years there as a director of robotics while forming his thesis.

Now with Formant, he wants to make hybrid workforce cooperation feel frictionless.

The company has raised a $6 million seed round from SignalFire, a data-driven VC fund with software for recruiting engineers. Formant is launching its closed beta that equips businesses with cloud infrastructure for collecting, making sense of and acting on data from fleets of robots. It allows a single human to oversee 10, 20 or 100 machines, stepping in to clear confusion when they aren’t sure what to do.

“The tooling is 10 years behind the web,” Linnell explains. “If you build a data company today, you’ll use AWS or Google Cloud, but that simply doesn’t exist for robotics. We’re building that layer.”

A beautiful marriage

“This is going to sound completely bizarre,” Formant CTO Anthony Jules warns me. “I had a recurring dream [as a child] in which I was a ship captain and I had a little mechanical parrot on my should that would look at situations and help me decide what to do as we’d sail the seas trying to avoid this octopus. Since then I knew that building intelligent machines is what I would do in this world.”

So he went to MIT, left a robotics PhD program to build a startup called Sapient Corporation that he built into a 4,000-employee public company, and worked on the Tony Hawk video games. He too joined Google through an acquisition, meeting Linnell after Redwood Robotics, where he was COO, got acquired. “We came up with some similar beliefs. There are a few places where full autonomy will actually work, but it’s really about creating a beautiful marriage of what machines are good at and what humans are good at,” Jules tells me.

Formant now has SaaS pilots running with businesses in several verticals to make their “robot-shaped data” usable. They range from food manufacturing to heavy infrastructure inspection to construction, and even training animals. Linnell also foresees retail increasingly employing fleets of robots not just in the warehouse but on the showroom floor, and they’ll require precise coordination.

What’s different about Formant is it doesn’t build the bots. Instead, it builds the reins for people to deftly control them.

First, Formant connects to sensors to fill up a cloud with LiDAR, depth imagery, video, photos, log files, metrics, motor torques and scalar values. The software parses that data and when something goes wrong or the system isn’t sure how to move forward, Formant alerts the human “foreman” that they need to intervene. It can monitor the fleet, sniff out the source of errors, and suggest options for what to do next.

For example, “when an autonomous digger encounters an obstacle in the foundation of a construction site, an operator is necessary to evaluate whether it is safe for the robot to proceed or stop,” Linnell writes. “This decision is made in tandem: the rich data gathered by the robot is easily interpreted by a human but difficult or legally questionable for a machine. This choice still depends on the value judgment of the human, and will change depending on if the obstacle is a gas main, a boulder, or an electrical wire.”

Any single data stream alone can’t reveal the mysteries that arise, and people would struggle to juggle the different feeds in their minds. But not only can Formant align the data for humans to act on, it also can turn their choices into valuable training data for artificial intelligence. Formant learns, so next time the machine won’t need assistance.

The industrial revolution, continued

With rock-star talent poached from Google and tides lifting all automated boats, Formant’s biggest threat is competition from tech giants. Old engineering companies like SAP could try to adapt to the new real-time data type, yet Formant hopes to out-code them. Google itself has built reliable cloud scaffolding and has robotics experience from Boston Dynamics, plus buying Linnell’s and Jules’ companies. But the enterprise customization necessary to connect with different clients isn’t typical for the search juggernaut.

Linnell fears that companies that try to build their own robot management software could get hacked. “I worry about people who do homegrown solutions or don’t have the experience we have from being at a place like Google. Putting robots online in an insecure way is a pretty bad problem.” Formant is looking to squash any bugs before it opens its platform to customers in 2019.

With time, humans will become less and less necessary, and that will surface enormous societal challenges for employment and welfare. “It’s in some ways a continuation of the industrial revolution,” Jules opines. “We take some of this for granted but it’s been happening for 100 years. Photographer — that’s a profession that doesn’t exist without the machine that they use. We think that transformation will continue to happen across the workforce.”

Dec
18
2018
--

Cisco to acquire silicon photonics chip maker Luxtera for $660 million

As networks get put under increasing pressure from ever-growing amounts of data, network equipment manufacturers are facing huge challenges to increase data transmission speeds over farther distances. As a premier networking equipment company, Cisco wants to be prepared to meet that demand. Today, it opened up its checkbook and announced its intent to acquire Luxtera for $660 million.

Luxtera, which was founded in 2001 and raised more than $130 million, will give Cisco a photonic solution for that data networking problem. Rob Salvagno, head of Cisco’s M&A and venture investment team, sees a company that can help modernize Cisco’s networking equipment.

“That’s why today we announced our intent to acquire Luxtera, Inc., a privately-held semiconductor company that uses silicon photonics technology to build integrated optics capabilities for webscale and enterprise data centers, service provider market segments, and other customers. Luxtera’s technology, design and manufacturing innovation significantly improves performance and scale while lowering costs,” he wrote in a blog post announcing the acquisition.

Photonics uses light to move large amounts of data at higher speeds over increased distances via fiber optic cable. Cisco sees this as a way to future-proof customer networking requirements, while keeping them on Cisco equipment. “The combination of Cisco’s and Luxtera’s capabilities in 100GbE/400GbE optics, silicon and process technology will enable customers to build future-proof networks optimized for performance, reliability and cost,” Salvagno wrote.

While Cisco has been acquiring its share of high-profile software properties in recent years, including AppDyanmics for $3.7 billion in 2017 and Jasper Technologies for $1.4 billion in 2016, it also acquired Israeli chip designer Leaba Semiconductor for $320 million in 2016 for its advanced chip making capability.

Today’s announcement would seem to build on that earlier purchase as Cisco tries to modernize its hardware offerings to meet increasingly stringent demands inside large-scale data centers.

The acquisition is subject to the typical regulatory scrutiny, but Cisco expects it to close in its fiscal year 2019 Q3. It reported its Q1 2019 earnings in November.

Sep
24
2018
--

Yubico’s new security keys now support FIDO2

Yubico, the company behind the popular Yubikey security keys, today announced the launch of its 5 Series keys. The company argues that these new keys, which start at $45, are the first multi-protocol securities keys that support the FIDO2 standard. With this, Yubico argues, the company will be able to replace password-based authentication, which is often a hassle and unsecure, with stronger hardware-based authentication.

“Innovation is core to all we do, from the launch of the original YubiKey ten years ago, to the concept of one authentication device across multiple services, and today as we are accelerating into the passwordless era,” said Stina Ehrensvard, the CEO and founder of Yubico in today’s announcement. “The YubiKey 5 Series can deliver single-factor, two-factor, or multi-factor secure login, supporting many different uses cases on different platforms for different verticals with a variety of authentication scenarios.”

The company made the announcement ahead of Microsoft’s Ignite conference this week, where Microsoft, too, is expected to make a number of security announcements around the future of passwords.

“Passwordless login brings a monumental change to how business users and consumers will securely log in to applications and services,” said Alex Simons, the corporate vice president of Microsoft’s Identity Division. “With FIDO2, Microsoft is working to remove the dependency on password-based logins, with support from devices like the YubiKey 5.”

For the most part, the new keys looks very much like the existing ones, but new to the series is the YubiKey 5 NFC, which combines supports all of the major security protocols over both USB and NFC — and the addition of NFC makes it a better option for those who want to use the same key on they desktops, laptops and mobile phones or tablets.

Supported protocols, in addition to FIDO2, include FIDO U2F, smart card (PIV), Yubico OTP, OpenPGP, OATH-TOTP, OATH-HOTP, and Challenge-Response.

The new keys will come in all of the standard Yubico form factors, including the large USB-A key with NFC support, as well as smaller versions and those for USB-C devices.

In its press release, Yubico stresses that its keys are manufactured and programmed in the USA and Sweden. The fact that it’s saying that is no accident, given that Google recently launched its own take on security keys (after years of recommending Yubikeys). Google’s keys, however, are being built by a Chinese company and while Google is building its own firmware for them, there are plenty of sceptics out there who aren’t exactly waiting for a key that was manufactured in China.

Sep
14
2018
--

Drone startup Airware crashes, will shut down after burning $118M

Drone operating system startup Airware today suddenly informed employees it will cease operations immediately despite having raised $118 million from top investors like Andreessen Horowitz, Google’s GV, and Kleiner Perkins. The startup ran out of money after trying to manufacture its own hardware that couldn’t compete with drone giants like China’s DJI. The company at one point had as many as 140 employees, all of which are now out of a job.

A source sent TechCrunch screenshots from the Airware alumni Slack channel detailing how the staff was told this morning that Airware would shut down.

Airware makes a cloud sofware system that helps enterprise customers like construction companies, mining operations, and insurance companies reviewing equipment for damages to use drones to collect and analyze aerial data. That allowed companies to avoid using expensive helicopters or dangerous rigs with humans on harnesses to make inspections and gauge work progress.

One ex-employee asked “How do I get my options sent to me on paper so I can burn them all in a fire??

Founded in 2011 by Jonathan Downey, the son of two pilots, Airware first built an autopilot system for programming drones to follow certain routes to collect data. It could help businesses check rooftops for damage, see how much of a raw material was coming out of a mine, or build constantly-updated maps of construction sites. Later it tried to build its own drones before pivoting to consult clients on how to most efficiently apply unmanned aerial vehicles.

While flying high, Airware launched its own Commercial Drone Fund for investing in the market in 2015, and acquired 38-person drone analytics startup Redbird in 2016. In this pre-crypto, pre-AI boom, Airware scored a ton of hype from us and others as tried to prove drones could be more than war machines. But over time, the software that shipped with commercial drone hardware from other manufacturers was good enough to make Airware irrelevant, and a downward spiral of layoffs began over the past two years, culminating in today’s shutdown. Demonstating how sudden the shut down is, Airware opened a Tokyo headquarters alongside an investment and partnership from Mitsubishi just four days ago.

“Airware was ahead of the game trying to build their software. So far ahead that the drone hardware on the market wasn’t sophisticated enough to actually produce the granularity of data they needed to test out their software/train their algorithms” an ex-employee told TechCrunch (emphasis ours). “So they spent shitloads of money designing bespoke hardware, including two drones in-house, one multi-rotor called an AT-28, and one fixed-wing called Cygnet. Both projects were scuttled as hardware from DJI and Ebee caught up to needs, after sinking tons of engineering time and manufacturing into them.”

Following TechCrunch’s inquiry about the unnannounced news, Airware confirmed the shut down to us with this statement:

“History has taught us how hard it can be to call the timing of a market transition. We have seen this play out first hand in the commercial drone marketplace. We were the pioneers in this market and one of the first to see the power drones could have in the commercial sector. Unfortunately, the market took longer to mature than we expected. As we worked through the various required pivots to position ourselves for long term success, we ran out of financial runway. As a result, it is with a heavy heart that we notified our team, customers, and partners that we will wind down the business.

This is not the business outcome we had worked so hard for over the years and yet we are deeply proud of our company’s accomplishments and our leadership in driving the adoption of drone powered analytics to improve productivity, mitigate risks, and take workers out of harm’s way.

As we close the book of Airware; we want to thank the partners and customers who believed in us and helped us along the way. And, while it is difficult to say goodbye to our team, we want to thank them for all they have contributed to Airware and the industry. We look forward to seeing how they will take their learnings from Airware to fuel continued innovations in the world around us.”

[Update: Since we broke the news, Airware has put up a “thank you” note about the shutdown informing clients that “A representative from the Airware team will be in touch.”]

An Airware-hardware equipped drone

Employees will get one week’s severance, COBRA insurance until November, and payouts for unused paid time off. It appears the startup wasn’t able to raise necessary funding to save the company or secure an acquisition from one of its strategic partners like Catepillar.

Airware will serve as cautionary tale of startup overspending in hopes of finding product-market fit. Had it been more frugal, saved cash to extend its runway, and given corporate clients more time to figure out how to use drones, Airware might have stayed afloat. Sometimes, even having the most prestigious investors can’t save a startup from mismanagement.

Our ex-employee source concludes that “I think having $118M in the bank led Airware to charge ahead and sink tons of money into force-it-to-work methods rather than exercise a bit of patience and wait for the inevitable advance of hardware to catch up. They had a knack for hiring extremely talented and expensive people from places like Google, Autodesk, there was even SpaceX and NASA alumni there.

They spared no expense ever.”

Sep
12
2018
--

Nvidia launches the Tesla T4, its fastest data center inferencing platform yet

Nvidia today announced its new GPU for machine learning and inferencing in the data center. The new Tesla T4 GPUs (where the ‘T’ stands for Nvidia’s new Turing architecture) are the successors to the current batch of P4 GPUs that virtually every major cloud computing provider now offers. Google, Nvidia said, will be among the first to bring the new T4 GPUs to its Cloud Platform.

Nvidia argues that the T4s are significantly faster than the P4s. For language inferencing, for example, the T4 is 34 times faster than using a CPU and more than 3.5 times faster than the P4. Peak performance for the P4 is 260 TOPS for 4-bit integer operations and 65 TOPS for floating point operations. The T4 sits on a standard low-profile 75 watt PCI-e card.

What’s most important, though, is that Nvidia designed these chips specifically for AI inferencing. “What makes Tesla T4 such an efficient GPU for inferencing is the new Turing tensor core,” said Ian Buck, Nvidia’s VP and GM of its Tesla data center business. “[Nvidia CEO] Jensen [Huang] already talked about the Tensor core and what it can do for gaming and rendering and for AI, but for inferencing — that’s what it’s designed for.” In total, the chip features 320 Turing Tensor cores and 2,560 CUDA cores.

In addition to the new chip, Nvidia is also launching a refresh of its TensorRT software for optimizing deep learning models. This new version also includes the TensorRT inference server, a fully containerized microservice for data center inferencing that plugs seamlessly into an existing Kubernetes infrastructure.

 

 

Sep
11
2018
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Packet hauls in $25M Series B as customized cloud vision takes shape

In a world where large hyperscale companies like Amazon, Microsoft and Google dominate the public cloud, it would seem foolhardy for a startup to try to carve out a space, but Packet has an alternative customized cloud vision, and investors have taken notice. Today, the company announced a $25 million Series B led by Third Point Ventures.

An interesting mix of strategic and traditional investors joined the round including Battery Ventures, JA Mitsui Leasing and Samsung Next. Existing investors SoftBank Corp. and Dell Technologies Capital also participated. The company has now raised over $36 million.

The company also showed some signs of maturing by bringing in Ihab Tarazi as CTO and George Karidis as COO. Tarazi, who came over from Equinix, likes what he sees in Packet .

He says they offer several advantages over the public providers. First of all, customers can buy whatever hardware they want. “We offer the most diverse hardware options,” he said. That means they could get servers equipped with Intel, ARM, AMD or with specific nVidia GPUs in whatever configurations they want. By contrast public cloud providers tend to offer a more off-the-shelf approach. It’s cheap and abundant, but you have to take what they offer, and that doesn’t always work for every customer.

Another advantage Packet bring to the table, according to Tarazi, is that they support a range of open source software options, letting customers build whatever applications they want on top of that custom hardware.

They currently have 18 locations around the world, but Tarazi said they will soon be adding 50 more, also adding geographic diversity to the mix.

Finally, each customer gets their own bare metal offering, providing them with a single tenant private option inside Packet’s data center. This gives them the advantages of a privately run data center but where Packet handles all of the management, configuration and upkeep.

Tarazi doesn’t see Packet competing directly with the hyperscale players. Instead, he believes there will be room for both approaches. “I think you have a combination of both happening where people are trying to take advantage of all these hardware options to optimize performance across specific applications,” he explained.

The company, which launched in 2014, currently has about 50 employees with headquarters in New York City and offices in Palo Alto. They are also planning on opening an operations center in Dallas soon. The number should swell to 100 employees over the next year as they expand operations.

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