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Even as signs of life after the pandemic have begun to emerge here in the U.S., increases in video game spending continue. There’s no doubt that much of last year’s big numbers were driven by stay-at-home requirements in much of the country and the world. All said, U.S. spending on the industry increased 27% for 2020.
There remains a broader question, however, around whether this momentum can maintain, as people start to, you know, leave the house more. For now, at least, things are continuing to look rosy for the industry. NPD noted this morning that U.S. spending on the category jumped 30% y-o-y for Q1 2021, to $14.92 billion.
When we break the number down a bit, however, it becomes clear that the driver goes beyond mere pandemic entertainment. Content was up 25% for the quarter, accessories jumped 42% and hardware went up 82%.
The motivator behind that last figure should be immediately obvious to anyone who follows the industry with any amount of interest. Where Nintendo’s Switch dominated the conversation for most of 2020, Sony and Microsoft both launched their next-gen consoles late last year.
“While we are still seeing elevated rates of both engagement and spending resulting from changes in consumer behavior driven by the pandemic, we are also seeing cyclical gains from the November launches of both the PlayStation 5 and Xbox Series consoles,” analyst Mat Piscatella said in a release The growth driven by these new platforms, combined with gains experienced in mobile, PC and VR content spending, as well as the continued strength of Nintendo Switch, have pushed the market to new highs.”
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MasterClass, which sells a subscription to celebrity-taught classes, sits on the cusp of entertainment and education. It offers virtual, yet aspirational learning: an online tennis class with Serena Williams, a cooking session with Gordon Ramsay. While there’s the off chance that an instructor might actually talk to you — it has happened before — the platform mostly just offers paywalled documentary-style content.
The vision has received attention. MasterClass is raising funding that would value it at $2.5 billion, as scooped by Axios and confirmed independently by a source to TechCrunch. But while MasterClass has found a sweet spot, can the success be replicated?
Investors certainly think so. Outlier, founded by MasterClass’ co-founder, closed a $30 million Series C this week, for affordable, digital college courses. The similarities between Outlier and its founder’s alma mater aren’t subtle: It’s literally trying to apply MasterClass’ high-quality videography to college classes. This comes a week after I wrote about a “MasterClass for Chess lovers” platform launched by former Chess World Champion Garry Kasparov.
Two back-to-back MasterClass copycats raising millions in venture capital makes me think about if the model can truly be verticalized and focused down into specific niches. After 2020 and the rise of Zoom University, we know edtech needs to be more engaging, but we don’t know the exact way to get there. Is it by creating micro-learning communities around shared loves? Is it about gamification? Aspirational learning has different incentives than for-credit learning. In order to be successful, Outlier needs to prove to universities it can use MasterClass magic for true outcomes that rival in-person lectures. It’s a harder, and more ambtious promise.
My riff aside, I turned to two edtech founders to understand how they see the MasterClass effect panning out, and to cross-check my gut reaction.
Taylor Nieman, the founder of language learning startup Toucan:
Although I do love how these models try to lean into this theme of “invisible learning” like we leverage with Toucan, it faces the same issues as so many other consumer products that try to steal time out of people’s very busy days. Constantly competing for time leads to terrible engagement metrics and very high churn. That leads me to question what true learning outcomes could occur from little to no usage of the product itself.
Amanda DoAmaral, the founder of Fiveable, a learning platform for high school students:
Masterclass is important for showing us why educational content should be treated more like entertainment. All of our bars for content quality is much higher now than it ever was before and I’m excited to see how that affects learning across the board.
For students, it’s about creating environments that support them holistically and giving them space to collaborate openly. It feels so obvious that these spaces should exist for young people, but we’ve lost sight of what students actually need. At my school, we built policies that assumed the worst in students. I want to flip that. Assume the best, be proactive to keep them safe, and create ways to react when we need to.
Anyways, that’s just some nuance to chew on during this fine day. In the rest of this newsletter, we will focus a lot on tactical advice for founders, from the money they raise to the peacock dance they might want to do one day. Make sure to follow me on Twitter @nmasc_ so we can talk during the week, too!
You know when male peacocks fan their feathers to court a lover? That, but for startups trying to get acquired. As one of our many rabbit holes on Equity this week, we talk about Discord walking away from a Microsoft deal, and if that deal ever existed in the first place or if it was just a way to drum up investor excitement in the audio gaming platform.
Here’s what to know: Discord is reportedly pursuing an IPO after walking away from talks with multiple companies that were looking to acquire the audio gaming giant.
Discord aside, the consolidation environment continues to be hot for some sectors.
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Clearbanc, a Toronto-based fintech startup that gives non-dilutive financing to businesses, has rebranded alongside a $100 million financing that valued it at $2 billion. Now rebranded as Clearco, the startup wants to be more than just a capital provider, but a services provider, too.
Here’s what to know: The startup has been on a tear of product development for the past year, launching services such as valuation calculators or runway tools. It’s a step away from what Clearbanc originally flexed: the 20-minute term sheet and rapid-fire investment. I talk about some of the levers at play in my piece:
Many of Clearco’s newest products are still in their infancy, but the potential success of the startup could nearly be tied to the general growth of startups looking for alternatives to venture capital when financing their startups. Similar to how AngelList’s growth is neatly tied to the growth of emerging fund managers, Clearco’s growth is cleanly related to the growth of founders who see financing as beyond a seed check from Y Combinator.
Abstract human brain made out of dollar bills isolated on white background. Image Credits: Iaremenko / Getty Images
Keeping on the theme of tactical advice for founders, let’s move onto talking about marketing. Tim Parkin, president of Parkin Consulting, explained how startup founders can use marketing as a tool to stand out in the noisy environment. Differentiation has never been harder, but also more imperative.
Here’s what to know: Parkin outlines four ways that martech will shift in 2021, strapped with anecdotes and a nod to the importance of investing in influencers.
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Your humble yet favorite startup podcast, Equity, got nominated for a Webby! Me and the team need your help to win, so please vote for us here. Your support means a ton.
This newsletter will always be free, but if you do want to support me, feel free to use code STARTUPSWEEKLY for 25% off a subscription to Extra Crunch.
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Thanks for reading along today and everyday. Sending love to my readers in India and everyone around the world that is facing yet another deadly surge of this horrible disease. I’m rooting for you.
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Hello and welcome back to Equity, TechCrunch’s venture capital-focused podcast, where we unpack the numbers behind the headlines.
First and foremost, Equity was nominated for a Webby for “Best Technology Podcast”!!! Drop everything and go Vote for Equity! We’d appreciate it. A lot. And even if we lose, well, we’ll keep doing our thing and making each other laugh.
Natasha and Danny and Alex and Chris got together to chat through the week’s biggest news. And like every other week in recent memory, it was a busy one. But we did our best to hit some M&A news, some unicorn news and some funding news from smaller startups.
Now, onto the show rundown; here’s what we discussed:
We’ll see you on Monday.
Equity drops every Monday at 7:00 a.m. PST, Wednesday, and Friday at 6:00 AM PST, so subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts!
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Google today announced a sizable update to its Anthos multicloud platform that lets you build, deploy and manage containerized applications anywhere, including on Amazon’s AWS and (in preview) on Microsoft Azure.
Version 1.7 includes new features like improved metrics and logging for Anthos on AWS, a new Connect gateway to interact with any cluster right from Google Cloud and a preview of Google’s managed control plane for Anthos Service Mesh. Other new features include Windows container support for environments that use VMware’s vSphere platform and new tools for developers to make it easier for them to deploy their applications to any Anthos cluster.
Today’s update comes almost exactly two years after Google CEO Sundar Pichai originally announced Anthos at its Cloud Next event in 2019 (before that, Google called this project the “Google Cloud Services Platform,” which launched three years ago). Hybrid and multicloud, it’s fair to say, takes a key role in the Google Cloud roadmap — and maybe more so for Google than for any of its competitors. Recently, Google brought on industry veteran Jeff Reed to become the VP of Product Management in charge of Anthos.
Reed told me that he believes that there are a lot of factors right now that are putting Anthos in a good position. “The wind is at our back. We bet on Kubernetes, bet on containers — those were good decisions,” he said. Increasingly, customers are also now scaling out their use of Kubernetes and have to figure out how to best scale out their clusters and deploy them in different environments — and to do so, they need a consistent platform across these environments. He also noted that when it comes to bringing on new Anthos customers, it’s really those factors that determine whether a company will look into Anthos or not.
He acknowledged that there are other players in this market, but he argues that Google Cloud’s take on this is also quite different. “I think we’re pretty unique in the sense that we’re from the cloud, cloud-native is our core approach,” he said. “A lot of what we talk about in [Anthos] 1.7 is about how we leverage the power of the cloud and use what we call “an anchor in the cloud” to make your life much easier. We’re more like a cloud vendor there, but because we support on-prem, we see some of those other folks.” Those other folks being IBM/Red Hat’s OpenShift and VMware’s Tanzu, for example.
The addition of support for Windows containers in vSphere environments also points to the fact that a lot of Anthos customers are classical enterprises that are trying to modernize their infrastructure, yet still rely on a lot of legacy applications that they are now trying to bring to the cloud.
Looking ahead, one thing we’ll likely see is more integrations with a wider range of Google Cloud products into Anthos. And indeed, as Reed noted, inside of Google Cloud, more teams are now building their products on top of Anthos themselves. In turn, that then makes it easier to bring those services to an Anthos-managed environment anywhere. One of the first of these internal services that run on top of Anthos is Apigee. “Your Apigee deployment essentially has Anthos underneath the covers. So Apigee gets all the benefits of a container environment, scalability and all those pieces — and we’ve made it really simple for that whole environment to run kind of as a stack,” he said.
I guess we can expect to hear more about this in the near future — or at Google Cloud Next 2021.
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Earlier this week, ExxonMobil, a company among the largest producers of greenhouse gas emissions and a longtime leader in the corporate fight against climate change regulations, called for a massive $100 billion project (backed in part by the government) to sequester hundreds of millions of metric tons of carbon dioxide in geologic formations off the Gulf of Mexico.
The gall of Exxon’s flag-planting request is matched only by the grit from startup companies that are already working on carbon capture and storage or carbon utilization projects and have announced significant milestones along their own path to commercialization even as Exxon was asking for handouts.
These are companies like Charm Industrial, which just completed the first pilot test of its technology through a contract with Stripe. That pilot project saw the company remove 416 tons of carbon dioxide equivalent from the atmosphere. That’s a small fraction of the hundred million tons Exxon thinks could be captured in its hypothetical sequestration project located off the Gulf Coast, but the difference between Exxon’s proposal and Charm’s sequestration project is that Charm has actually managed to already sequester the carbon.
The company’s technology, verified by outside observers like Shopify, Microsoft, CarbonPlan, CarbonDirect and others, converts biomass into an oil-like substance and then injects that goop underground — permanently sequestering the carbon dioxide, the company said.
Eventually, Charm would use its bio-based oil equivalent to produce “green hydrogen” and replace pumped or fracked hydrocarbons in industries that may still require combustible fuel for their operations.
While Charm is converting biomass into an oil-equivalent and pumping it back underground, other companies like CarbonCure, Blue Planet, Solidia, Forterra, CarbiCrete and Brimstone Energy are capturing carbon dioxide and fixing it in building materials.
“The easy way to think about CarbonCure is we have a mission to reduce 500 million tons per year by 2030. On the innovation side of things we really pioneered this area of science using CO2 in a value-added, hyper low-cost way in the value chain,” said CarbonCure founder and chief executive Rob Niven. “We look at CO2 as a value-added input into making concrete production. It has to raise profits.”
Niven stresses that CarbonCure, which recently won one half of the $20 million carbon capture XPrize alongside CarbonBuilt, is not a hypothetical solution for carbon dioxide removal. The company already has 330 plants operating around the world capturing carbon dioxide emissions and sequestering them in building materials.
Applications for carbon utilization are important to reduce the emissions footprints of industry, but for nations to achieve their climate objectives, the world needs to move to dramatically reduce its reliance on emissions spewing energy sources and simultaneously permanently draw down massive amounts of greenhouse gases that are already in the atmosphere.
It’s why the ExxonMobil call for a massive project to explore the permanent sequestration of carbon dioxide isn’t wrong, necessarily, just questionable coming from the source.
The U.S. Department of Energy does think that the Gulf Coast has geological formations that can store 500 billion metric tons of carbon dioxide (which the company says is more than 130 years of the country’s total industrial and power generation emissions). But in ExxonMobil’s calculation that’s a reason to continue with business-as-usual (actually with more government subsidies for its business).
Here’s how the company’s top executives explained it in the pages of The Wall Street Journal:
The Houston CCS Innovation Zone concept would require the “whole of government” approach to the climate challenge that President Biden has championed. Based on our experience with projects of this scale, we estimate the approach could generate tens of thousands of new jobs needed to make and install the equipment to capture the CO2 and transport it via a pipeline for storage. Such a project would also protect thousands of existing jobs in industries seeking to reduce emissions. In short, large-scale CCS would reduce emissions while protecting the economy.
These oil industry executives are playing into a false narrative that the switch to renewable energy and a greener economy will cost the U.S. jobs. It’s a fact that oil industry jobs will be erased, but those jobs will be replaced by other opportunities, according to research published in Scientific American.
“With the more aggressive $60 carbon tax, U.S. employment would still exceed the reference-case forecast, but the increase would be less than that of the $25 tax,” write authors Marilyn Brown and Majid Ahmadi. “The higher tax causes much larger supply-side job losses, but they are still smaller than the gains in energy-efficiency jobs motivated by higher energy prices. Overall, 35 million job years would be created between 2020 and 2050, with net job increases in almost all regions.”
ExxonMobil and the other oil majors definitely have a role to play in the new energy economy that’s being built worldwide, but the leading American oil companies are not going to be able to rest on their laurels or continue operating with a business-as-usual mindset. These companies run the risk of going the way of big coal — slowly sliding into obsolescence and potentially taking thousands of jobs and local economies down with them.
To avoid that, carbon sequestration is a part of the solution, but it’s one of many arrows in the quiver that oil companies need to deploy if they’re going to continue operating and adding value to shareholders. In other words, it’s not the last 130 years of emissions that ExxonMobil should be focused on, it’s the next 130 years that aim to be increasingly zero-emission.
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The era of cloud gaming hasn’t arrived with the intensity that may have seemed imminent a couple years ago when major tech platforms announced their plays. In 2021, the market is still pretty much nonexistent despite established presences from nearly all of tech’s biggest players.
Microsoft has been slow to roll out its Xbox Cloud Gaming beta to its users widely across platforms, but that’s likely because they know that, unlike other upstart platforms, there’s not a huge advantage to them rushing out the gate first. This week, the company will begin rolling out the service on iOS and PC to Game Pass Ultimate users, sending out invites to a limited number of users and scaling it up over time.
“The limited beta is our time to test and learn; we’ll send out more invites on a continuous basis to players in all 22 supported countries, evaluate feedback, continue to improve the experience, and add support for more devices,” wrote Xbox’s Catherine Gluckstein in a blog post. “Our plan is to iterate quickly and open up to all Xbox Game Pass Ultimate members in the coming months so more people have the opportunity to play Xbox in all-new ways.”
The service has been available in beta for Android users since last year but it’s been a slow expansion to other platforms outside that world.
A big part of that slowdown has been the result of Apple playing hardball with cloud gaming platform providers, whose business models represent a major threat to App Store gaming revenues. Apple announced a carve-out provision for cloud-gaming platforms that would maintain dependency on the App Store and in-app purchase frameworks but none of the providers seemed very happy with Apple’s solution. As a result, Xbox Cloud Gaming will operate entirely through the web on iOS inside mobile Safari.
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When Microsoft announced it was acquiring Nuance Communications this morning for $19.7 billion, you could be excused for doing a Monday morning double take at the hefty price tag.
That’s surely a lot of money for a company on a $1.4 billion run rate, but Microsoft, which has already partnered with the speech-to-text market leader on several products over the last couple of years, saw a company firmly embedded in healthcare and decided to go all in.
And $20 billion is certainly all in, even for a company the size of Microsoft. But 2020 forced us to change the way we do business, from restaurants to retailers to doctors. In fact, the pandemic in particular changed the way we interact with our medical providers. We learned very quickly that you don’t have to drive to an office, wait in waiting room, then in an exam room, all to see the doctor for a few minutes.
Instead, we can get on the line, have a quick chat and be on our way. It won’t work for every condition, of course — there will always be times the physician needs to see you — but for many meetings such as reviewing test results or for talk therapy, telehealth could suffice.
Microsoft CEO Satya Nadella says that Nuance is at the center of this shift, especially with its use of cloud and artificial intelligence, and that’s why the company was willing to pay the amount it did to get it.
“AI is technology’s most important priority, and healthcare is its most urgent application. Together, with our partner ecosystem, we will put advanced AI solutions into the hands of professionals everywhere to drive better decision-making and create more meaningful connections, as we accelerate growth of Microsoft Cloud in Healthcare and Nuance,” Nadella said in a post announcing the deal.
Holger Mueller, an analyst at Constellation Research, says that may be so, but he believes that Microsoft missed the boat with Cortana and this is about helping the company catch up on a crucial technology. “Nuance will be not only give Microsoft technology help in regards to neural network-based speech recognition, but also a massive improvement from vertical capabilities, call center functionality and the MSFT IP position in speech,” he said.
Microsoft sees this deal doubling what was already a considerable total addressable market to nearly $500 billion. While TAMs always tend to run high, that is still a substantial number.
It also fits with Gartner data, which found that by 2022, 75% of healthcare organizations will have a formal cloud strategy in place. The AI component only adds to that number and Nuance brings 10,000 existing customers to Microsoft, including some of the biggest healthcare organizations in the world.
Brent Leary, founder and principal analyst at CRM Essentials, says the deal could provide Microsoft with a ton of health data to help feed the underlying machine learning models and make them more accurate over time.
“There is going be a ton of health data being captured by the interactions coming through telemedicine interactions, and this could create a whole new level of health intelligence,” Leary told me.
That of course could drive a lot of privacy concerns where health data is involved, and it will be up to Microsoft, which just experienced a major breach on its Exchange email server products last month, to assure the public that their sensitive health data is being protected.
Leary says that ensuring data privacy is going to be absolutely key to the success of the deal. “The potential this move has is pretty powerful, but it will only be realized if the data and insights that could come from it are protected and secure — not only protected from hackers but also from unethical use. Either could derail what could be a game-changing move,” he said.
Microsoft also seemed to recognize that when it wrote, “Nuance and Microsoft will deepen their existing commitments to the extended partner ecosystem, as well as the highest standards of data privacy, security and compliance.”
Kate Leggett, an analyst at Forrester Research, thinks healthcare could be just the first step and once Nuance is in the fold, it could go much deeper than that.
“However, the benefit of this acquisition does not stop [with healthcare]. Nuance also offers market-leading customer engagement technologies, with deep expertise and focus in verticals such as financial services. As MSFT evolves their industry editions into other verticals, this acquisition will pay off for other industries. MSFT may also choose to fill in the gaps within their Dynamics solution with Nuance’s customer engagement technologies,” Leggett said.
We are clearly on the edge of a sea change when it comes to how we interact with our medical providers in the future. COVID pushed medicine deeper into the digital realm in 2020 out of simple necessity. It wasn’t safe to go into the office unless absolutely necessary.
The Nuance acquisition, which is expected to close some time later this year, could help Microsoft shift deeper into the market. It could even bring Teams into it as a meeting tool, but it’s all going to depend on the trust level people have with this approach, and it will be up to the company to make sure that both healthcare providers and the people they serve have that.
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Microsoft agreed today to acquire Nuance Communications, a leader in speech to text software, for $19.7 billion. Bloomberg broke the story over the weekend that the two companies were in talks.
In a post announcing the deal, the company said this was about increasing its presence in the healthcare vertical, a place where Nuance has done well in recent years. In fact, the company announced the Microsoft Cloud for Healthcare last year, and this deal is about accelerating its presence there. Nuance’s products in this area include Dragon Ambient eXperience, Dragon Medical One and PowerScribe One for radiology reporting.
“Today’s acquisition announcement represents the latest step in Microsoft’s industry-specific cloud strategy,” the company wrote. The acquisition also builds on several integrations and partnerships the two companies have made in the last couple of years.
The company boasts 10,000 healthcare customers, according to information on the website. Those include AthenaHealth, Johns Hopkins, Mass General Brigham and Cleveland Clinic to name but a few, and it was that customer base that attracted Microsoft to pay the price it did to bring Nuance into the fold.
Nuance CEO Mark Benjamin will remain with the company and report to Scott Guthrie, Microsoft’s EVP in charge of the cloud and AI group.
Nuance has a complex history. It went public in 2000 and began buying speech recognition products, including Dragon Dictate from Lernout Hauspie, in 2001. It merged with a company called ScanSoft in 2005. That company began life as Visioneer, a scanning company, in 1992.
Today, the company has a number of products including Dragon Dictate, a consumer and business text to speech product that dates back to the early 1990s. It’s also involved in speech recognition, chat bots and natural language processing particularly in healthcare and other verticals.
The company has 6,000 employees spread across 27 countries. In its most recent earnings report from November 2020, which was for Q42020, the company reported $352.9 million in revenue compared to $387.6 million in the same period a year prior. That’s not the direction a company wants to go, but it is still a run rate of over $1.4 billion.
At the time of that earnings call, the company also announced it was selling its medical transcription and electronic health record (EHR) Go-Live services to Assured Healthcare Partners and Aeries Technology Group. Company CEO Benjamin said this was about helping the company concentrate on its core speech services.
“With this sale, we will reach an important milestone in our journey towards a more focused strategy of advancing our Conversational AI, natural language understanding and ambient clinical intelligence solutions,” Benjamin said in a statement at the time.
It’s worth noting that Microsoft already has a number speech recognition and chat bot products of its own, including desktop speech to text services in Windows and on Azure, but it took a chance to buy a market leader and go deeper into the healthcare vertical.
The transaction has already been approved by both company boards and Microsoft reports it expects the deal to close by the end of this year, subject to standard regulatory oversight and approval by Nuance shareholders.
This would mark the second largest purchase by Microsoft ever, only surpassed by the $26.2 billion the company paid for LinkedIn in 2016.
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LiquidStack does it. So does Submer. They’re both dropping servers carrying sensitive data into goop in an effort to save the planet. Now they’re joined by one of the biggest tech companies in the world in their efforts to improve the energy efficiency of data centers, because Microsoft is getting into the liquid-immersion cooling market.
Microsoft is using a liquid it developed in-house that’s engineered to boil at 122 degrees Fahrenheit (lower than the boiling point of water) to act as a heat sink, reducing the temperature inside the servers so they can operate at full power without any risks from overheating.
The vapor from the boiling fluid is converted back into a liquid through contact with a cooled condenser in the lid of the tank that stores the servers.
“We are the first cloud provider that is running two-phase immersion cooling in a production environment,” said Husam Alissa, a principal hardware engineer on Microsoft’s team for datacenter advanced development in Redmond, Washington, in a statement on the company’s internal blog.
While that claim may be true, liquid cooling is a well-known approach to dealing with moving heat around to keep systems working. Cars use liquid cooling to keep their motors humming as they head out on the highway.
As technology companies confront the physical limits of Moore’s Law, the demand for faster, higher performance processors mean designing new architectures that can handle more power, the company wrote in a blog post. Power flowing through central processing units has increased from 150 watts to more than 300 watts per chip and the GPUs responsible for much of Bitcoin mining, artificial intelligence applications and high end graphics each consume more than 700 watts per chip.
It’s worth noting that Microsoft isn’t the first tech company to apply liquid cooling to data centers and the distinction that the company uses of being the first “cloud provider” is doing a lot of work. That’s because bitcoin mining operations have been using the tech for years. Indeed, LiquidStack was spun out from a bitcoin miner to commercialize its liquid immersion cooling tech and bring it to the masses.
“Air cooling is not enough”
More power flowing through the processors means hotter chips, which means the need for better cooling or the chips will malfunction.
“Air cooling is not enough,” said Christian Belady, vice president of Microsoft’s datacenter advanced development group in Redmond, in an interview for the company’s internal blog. “That’s what’s driving us to immersion cooling, where we can directly boil off the surfaces of the chip.”
For Belady, the use of liquid cooling technology brings the density and compression of Moore’s Law up to the datacenter level
The results, from an energy consumption perspective, are impressive. The company found that using two-phase immersion cooling reduced power consumption for a server by anywhere from 5 percent to 15 percent (every little bit helps).
Microsoft investigated liquid immersion as a cooling solution for high performance computing applications such as AI. Among other things, the investigation revealed that two-phase immersion cooling reduced power consumption for any given server by 5% to 15%.
Meanwhile, companies like Submer claim they reduce energy consumption by 50%, water use by 99%, and take up 85% less space.
For cloud computing companies, the ability to keep these servers up and running even during spikes in demand, when they’d consume even more power, adds flexibility and ensures uptime even when servers are overtaxed, according to Microsoft.
“[We] know that with Teams when you get to 1 o’clock or 2 o’clock, there is a huge spike because people are joining meetings at the same time,” Marcus Fontoura, a vice president on Microsoft’s Azure team, said on the company’s internal blog. “Immersion cooling gives us more flexibility to deal with these burst-y workloads.”
At this point, data centers are a critical component of the internet infrastructure that much of the world relies on for… well… pretty much every tech-enabled service. That reliance however has come at a significant environmental cost.
“Data centers power human advancement. Their role as a core infrastructure has become more apparent than ever and emerging technologies such as AI and IoT will continue to drive computing needs. However, the environmental footprint of the industry is growing at an alarming rate,” Alexander Danielsson, an investment manager at Norrsken VC noted last year when discussing that firm’s investment in Submer.
If submerging servers in experimental liquids offers one potential solution to the problem — then sinking them in the ocean is another way that companies are trying to cool data centers without expending too much power.
Microsoft has already been operating an undersea data center for the past two years. The company actually trotted out the tech as part of a push from the tech company to aid in the search for a COVID-19 vaccine last year.
These pre-packed, shipping container-sized data centers can be spun up on demand and run deep under the ocean’s surface for sustainable, high-efficiency and powerful compute operations, the company said.
The liquid cooling project shares most similarity with Microsoft’s Project Natick, which is exploring the potential of underwater datacenters that are quick to deploy and can operate for years on the seabed sealed inside submarine-like tubes without any onsite maintenance by people.
In those data centers nitrogen air replaces an engineered fluid and the servers are cooled with fans and a heat exchanger that pumps seawater through a sealed tube.
Startups are also staking claims to cool data centers out on the ocean (the seaweed is always greener in somebody else’s lake).
Nautilus Data Technologies, for instance, has raised over $100 million (according to Crunchbase) to develop data centers dotting the surface of Davey Jones’ Locker. The company is currently developing a data center project co-located with a sustainable energy project in a tributary near Stockton, Calif.
With the double-immersion cooling tech Microsoft is hoping to bring the benefits of ocean-cooling tech onto the shore. “We brought the sea to the servers rather than put the datacenter under the sea,” Microsoft’s Alissa said in a company statement.
Ioannis Manousakis, a principal software engineer with Azure (left), and Husam Alissa, a principal hardware engineer on Microsoft’s team for datacenter advanced development (right), walk past a container at a Microsoft datacenter where computer servers in a two-phase immersion cooling tank are processing workloads. Photo by Gene Twedt for Microsoft.
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Machine learning (ML) models are only as good as the data you feed them. That’s true during training, but also once a model is put in production. In the real world, the data itself can change as new events occur and even small changes to how databases and APIs report and store data could have implications on how the models react. Since ML models will simply give you wrong predictions and not throw an error, it’s imperative that businesses monitor their data pipelines for these systems.
That’s where tools like Aporia come in. The Tel Aviv-based company today announced that it has raised a $5 million seed round for its monitoring platform for ML models. The investors are Vertex Ventures and TLV Partners.
Aporia co-founder and CEO Liran Hason, after five years with the Israel Defense Forces, previously worked on the data science team at Adallom, a security company that was acquired by Microsoft in 2015. After the sale, he joined venture firm Vertex Ventures before starting Aporia in late 2019. But it was during his time at Adallom where he first encountered the problems that Aporio is now trying to solve.
“I was responsible for the production architecture of the machine learning models,” he said of his time at the company. “So that’s actually where, for the first time, I got to experience the challenges of getting models to production and all the surprises that you get there.”
The idea behind Aporia, Hason explained, is to make it easier for enterprises to implement machine learning models and leverage the power of AI in a responsible manner.
“AI is a super powerful technology,” he said. “But unlike traditional software, it highly relies on the data. Another unique characteristic of AI, which is very interesting, is that when it fails, it fails silently. You get no exceptions, no errors. That becomes really, really tricky, especially when getting to production, because in training, the data scientists have full control of the data.”
But as Hason noted, a production system may depend on data from a third-party vendor and that vendor may one day change the data schema without telling anybody about it. At that point, a model — say for predicting whether a bank’s customer may default on a loan — can’t be trusted anymore, but it may take weeks or months before anybody notices.
Aporia constantly tracks the statistical behavior of the incoming data and when that drifts too far away from the training set, it will alert its users.
One thing that makes Aporia unique is that it gives its users an almost IFTTT or Zapier-like graphical tool for setting up the logic of these monitors. It comes pre-configured with more than 50 combinations of monitors and provides full visibility in how they work behind the scenes. That, in turn, allows businesses to fine-tune the behavior of these monitors for their own specific business case and model.
Initially, the team thought it could build generic monitoring solutions. But the team realized that this wouldn’t only be a very complex undertaking, but that the data scientists who build the models also know exactly how those models should work and what they need from a monitoring solution.
“Monitoring production workloads is a well-established software engineering practice, and it’s past time for machine learning to be monitored at the same level,” said Rona Segev, founding partner at TLV Partners. “Aporia‘s team has strong production-engineering experience, which makes their solution stand out as simple, secure and robust.”
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