Personal blog of Yzmir Ramirez

When Alibaba entered the cloud infrastructure market in earnest in 2015 it had ambitious goals, and it has been growing steadily. Today, the Chinese e-commerce giant announced quarterly cloud revenue of $2.194 billion. With that number, it has passed IBM’s $1.65 billion revenue result (according to Synergy Research market share numbers), a significant milestone.

But while $2 billion is a large figure, it’s one worth keeping in perspective. For example, Amazon announced $11.6 billion in cloud infrastructure revenue for its most recent quarter, while Microsoft’s Azure came in second place with $5.9 billion.

Google Cloud has held onto third place, as it has for as long as we’ve been covering the cloud infrastructure market. In its most recent numbers, Synergy pegged Google at 9% market share, or approximately $2.9 billion in revenue.

While Alibaba is still a fair bit behind Google, today’s numbers puts the company firmly in fourth place now, well ahead of IBM . It’s doubtful it could catch Google anytime soon, especially as the company has become more focused under CEO Thomas Kurian, but it is still fairly remarkable that it managed to pass IBM, a stalwart of enterprise computing for decades, as a relative newcomer to the space.

The 60% growth represented a slight increase from the previous quarter’s 59%, but basically means it held steady, something that’s not easy to do as a company reaches a certain revenue plateau. In its earnings call today, Daniel Zhang, chairman and CEO at Alibaba Group, said that in China, which remains the company’s primary market, digital transformation driven by the pandemic was a primary factor in keeping growth steady.

“Cloud is a fast-growing business. If you look at our revenue breakdown, obviously, cloud is enjoying a very, very fast growth. And what we see is that all the industries are in the process of digital transformation. And moving to the cloud is a very important step for the industries,” Zhang said in the call.

He believes eventually that most business will be done in the cloud, and the growth could continue for the medium term, as there are still many companies that haven’t made the switch yet, but will do so over time.

John Dinsdale, an analyst at Synergy Research, says that while China remains its primary market, the company does have a presence outside the country too, and can afford to play the long game in terms of the current geopolitical situation with trade tensions between the U.S. and China.

“Alibaba has already made some strides outside of China and Hong Kong. While the scale is rather small compared with its Chinese operations, Alibaba has established a data center and cloud presence in a range of countries, including six more APAC countries, U.S., U.K. and UAE. Among these, it is the market leader in both Indonesia and Malaysia,” Dinsdale told TechCrunch.

In its most recent data released a couple of weeks ago, prior to today’s numbers, Synergy broke down the market this way: “Amazon 33%, Microsoft 18%, Google 9%, Alibaba 5%, IBM 5%, Salesforce 3%, Tencent 2%, Oracle 2%, NTT 1%, SAP 1% – to the nearest percentage point.”

For the past month, VC investment pace seems to have slacked off in the U.S., but deal activities in China are picking up following a slowdown prompted by the COVID-19 outbreak.

According to PitchBook, “Chinese firms recorded 66 venture capital deals for the week ended March 28, the most of any week in 2020 and just below figures from the same time last year,” (although 2019 was a slow year). There is a natural lag between when deals are made and when they are announced, but still, there are some interesting trends that I couldn’t help noticing.

While many U.S.-based VCs haven’t had a chance to focus on new deals, recent investment trends coming out of China may indicate which shifts might persist after the crisis and what it could mean for the U.S. investor community.

Image Credits: PitchBook

Databricks, the big data analytics service founded by the original developers of Apache Spark, today announced that it is bringing its Delta Lake open-source project for building data lakes to the Linux Foundation under an open governance model. The company announced the launch of Delta Lake earlier this year, and, even though it’s still a relatively new project, it has already been adopted by many organizations and has found backing from companies like Intel, Alibaba and Booz Allen Hamilton.

“In 2013, we had a small project where we added SQL to Spark at Databricks […] and donated it to the Apache Foundation,” Databricks CEO and co-founder Ali Ghodsi told me. “Over the years, slowly people have changed how they actually leverage Spark and only in the last year or so it really started to dawn upon us that there’s a new pattern that’s emerging and Spark is being used in a completely different way than maybe we had planned initially.”

This pattern, he said, is that companies are taking all of their data and putting it into data lakes and then doing a couple of things with this data, machine learning and data science being the obvious ones. But they are also doing things that are more traditionally associated with data warehouses, like business intelligence and reporting. The term Ghodsi uses for this kind of usage is “Lake House.” More and more, Databricks is seeing that Spark is being used for this purpose and not just to replace Hadoop and doing ETL (extract, transform, load). “This kind of Lake House patterns we’ve seen emerge more and more and we wanted to double down on it.”

Spark 3.0, which is launching today soon, enables more of these use cases and speeds them up significantly, in addition to the launch of a new feature that enables you to add a pluggable data catalog to Spark.

Delta Lake, Ghodsi said, is essentially the data layer of the Lake House pattern. It brings support for ACID transactions to data lakes, scalable metadata handling and data versioning, for example. All the data is stored in the Apache Parquet format and users can enforce schemas (and change them with relative ease if necessary).

It’s interesting to see Databricks choose the Linux Foundation for this project, given that its roots are in the Apache Foundation. “We’re super excited to partner with them,” Ghodsi said about why the company chose the Linux Foundation. “They run the biggest projects on the planet, including the Linux project but also a lot of cloud projects. The cloud-native stuff is all in the Linux Foundation.”

“Bringing Delta Lake under the neutral home of the Linux Foundation will help the open-source community dependent on the project develop the technology addressing how big data is stored and processed, both on-prem and in the cloud,” said Michael Dolan, VP of Strategic Programs at the Linux Foundation. “The Linux Foundation helps open-source communities leverage an open governance model to enable broad industry contribution and consensus building, which will improve the state of the art for data storage and reliability.”

Alibaba Group introduced its first AI inference chip today, a neural processing unit called Hanguang 800 that it says makes performing machine learning tasks dramatically faster and more energy efficient. The chip, announced today during Alibaba Cloud’s annual Apsara Computing Conference in Hangzhou, is already being used to power features on Alibaba’s e-commerce sites, including product search and personalized recommendations. It will be made available to Alibaba Cloud customers later.

As an example of what the chip can do, Alibaba said it usually takes Taobao an hour to categorize the one billion product images that are uploaded to the e-commerce platform each day by merchants and prepare them for search and personalized recommendations. Using Hanguang 800, Taobao was able to complete the task in only five minutes.

Alibaba is already using Hanguang 800 in many of its business operations that need machine processing. In addition to product search and recommendations, this includes automatic translation on its e-commerce sites, advertising and intelligence customer services.

Though Alibaba hasn’t revealed when the chip will be available to its cloud customers, the chip may help Chinese companies reduce their dependence on U.S. technology as the trade war makes business partnerships between Chinese and American tech companies more difficult. It also can help Alibaba Cloud grow in markets outside of China. Within China, it is the market leader, but in the Asia-Pacific region, Alibaba Cloud still ranks behind Amazon, Microsoft and Google, according to the Synergy Research Group.

Hanguang 800 was created by T-Head, the unit that leads the development of chips for cloud and edge computing within Alibaba DAMO Academy, the global research and development initiative in which Alibaba is investing more than $15 billion. T-Head developed the chip’s hardware and algorithms designed for business apps, including Alibaba’s retail and logistics apps.

In a statement, Alibaba Group CTO and president of Alibaba Cloud Intelligence Jeff Zhang (pictured above) said, “The launch of Hanguang 800 is an important step in our pursuit of next-generation technologies, boosting computing capabilities that will drive both our current and emerging businesses while improving energy-efficiency.”

He added, “In the near future, we plan to empower our clients by providing access through our cloud business to the advanced computing that is made possible by the chip, anytime and anywhere.”

T-Head’s other launches included the XuanTie 910 earlier this year, an IoT processor based on RISC-V, the open-source hardware instruction set that began as a project at UC Berkeley. XuanTie 910 was created for heavy-duty IoT applications, including edge servers, networking, gateway and autonomous vehicles.

Alibaba DAMO Academy collaborates with universities around the world, including UC Berkeley and Tel Aviv University. Researchers in the program focus on machine learning, network security, visual computing and natural language processing, with the goal of serving two billion customers and creating 100 million jobs by 2035.

Salesforce, the 20-year-old leader in customer relationship management (CRM) tools, is making a foray into Asia by working with one of the country’s largest tech firms, Alibaba.

Alibaba will be the exclusive provider of Salesforce to enterprise customers in mainland China, Hong Kong, Macau and Taiwan, and Salesforce will become the exclusive enterprise CRM software suite sold by Alibaba, the companies announced on Thursday.

The Chinese internet has for years been dominated by consumer-facing services such as Tencent’s WeChat messenger and Alibaba’s Taobao marketplace, but enterprise software is starting to garner strong interest from businesses and investors. Workflow automation startup Laiye, for example, recently closed a $35 million funding round led by Cathay Innovation, a growth-stage fund that believes “enterprise software is about to grow rapidly” in China.

The partners have something to gain from each other. Alibaba does not have a Salesforce equivalent serving the raft of small-and-medium businesses selling through its e-commerce marketplaces or using its cloud computing services, so the alliance with the American cloud behemoth will fill that gap.

On the other hand, Salesforce will gain sales avenues in China through Alibaba, whose cloud infrastructure and data platform will help the American firm “offer localized solutions and better serve its multinational customers,” said Ken Shen, vice president of Alibaba Cloud Intelligence, in a statement.

“More and more of our multinational customers are asking us to support them wherever they do business around the world. That’s why today Salesforce announced a strategic partnership with Alibaba,” said Salesforce in a statement.

Overall, only about 10% of Salesforce revenues in the three months ended April 30 originated from Asia, compared to 20% from Europe and 70% from the Americas.

Besides gaining client acquisition channels, the tie-up also enables Salesforce to store its China-based data at Alibaba Cloud. China requires all overseas companies to work with a domestic firm in processing and storing data sourced from Chinese users.

“The partnership ensures that customers of Salesforce that have operations in the Greater China area will have exclusive access to a locally-hosted version of Salesforce from Alibaba Cloud, who understands local business, culture and regulations,” an Alibaba spokesperson told TechCrunch.

Cloud has been an important growth vertical at Alibaba and nabbing a heavyweight ally will only strengthen its foothold as China’s biggest cloud service provider. Salesforce made some headway in Asia last December when it set up a $100 million fund to invest in Japanese enterprise startups and the latest partnership with Alibaba will see the San Francisco-based firm actually go after customers in Asia.

Infinity Augmented Reality, an Israeli startup, has been acquired by Alibaba, the companies announced this weekend. The deal’s terms were not disclosed. Alibaba and InfinityAR have had a strategic partnership since 2016, when Alibaba Group led InfinityAR’s Series C. Since then, the two have collaborated on augmented reality, computer vision and artificial intelligence projects.

Founded in 2013, the startup’s augmented glasses platform enables developers in a wide range of industries (retail, gaming, medical, etc.) to integrate AR into their apps. InfinityAR’s products include software for ODMs and OEMs and a SDK plug-in for 3D engines.

Alibaba’s foray into virtual reality started three years ago, when it invested in Magic Leap and then announced a new research lab in China to develop ways of incorporating virtual reality into its e-commerce platform.

InfinityAR’s research and development team will begin working out of Alibaba’s Israel Machine Laboratory, part of Alibaba DAMO Academy, the R&D initiative into which it is pouring $15 billion with the goal of eventually serving two billion customers and creating 100 million jobs by 2036. DAMO Academy collaborates with universities around the world, and Alibaba’s Israel Machine Laboratory has a partnership with Tel Aviv University focused on video analysis and machine learning.

In a press statement, the laboratory’s head, Lihi Zelnik-Manor, said “Alibaba is delighted to be working with InfinityAR as one team after three years of partnership. The talented team brings unique knowhow in sensor fusion, computer vision and navigation technologies. We look forward to exploring these leading technologies and offering additional benefits to customers, partners and developers.”

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