Skip to main content

Alibaba Group leads $26.4M Series B in GPU database provider SQream

SQream CEO and co-founder Ami Gal

SQream, the GPU database developer, will deepen its focus on China after raising a $26.4 million Series B led by Alibaba Group. The round also included investors Hanaco Venture Capital, Sistema.vc, World Trade Ventures, Paradiso Ventures, Glory Ventures and Silvertech Ventures.

The startup describes the funding, which brings its total raised to a little over $40 million, as a strategic investment from Alibaba. Earlier this year, SQream and Alibaba Cloud announced a new agreement that will give Alibaba Cloud users access to the GPU database starting in October.

In a statement to TechCrunch, Chaoqun Zhan, director of Alibaba Database Business, said “Alibaba Cloud and SQream announced a collaboration in February and this investment deepens our relationship, and together we aim to provide the best cloud solutions to all kinds of businesses to enable their success in this digital age.”

Based in Tel Aviv, SQream was founded in 2010. Its SQL analytical database, called SQream DB, uses thousands of parallel processing cores in NVIDIA GPUs to allow large companies to perform big data analytics more quickly and cheaply (SQream claims its clients can “analyze up to 20 times more data, up to 100 times faster, at as little 10% of the cost”).

SQream co-founder and CEO Ami Gal told TechCrunch that one of SQream’s main differentiators from other GPU databases, like Kinetica and MapD, is its ability to adapt to increasingly massive hoards of data. Kinetica and MapD use in-memory storage, so while they can analyze up to about 5 terabytes of data extremely quickly, their scalability is limited. On the other hand, SQream was created to handle data stores of up to hundreds of terabytes.

The company’s Series B capital is being used to add new feature to SQream DB and grow its sales, marketing and delivery teams as it focuses on the Chinese market and other regions. In addition to Alibaba Cloud, SQream’s other new customers in Asia include Thai mobile operator AIS and India’s ACL Mobile, an enterprise messaging service.



from TechCrunch https://ift.tt/2shweM8
via IFTTT

Comments

Popular posts from this blog

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Max Q: Psyche(d)

In this issue: SpaceX launches NASA asteroid mission, news from Relativity Space and more. © 2023 TechCrunch. All rights reserved. For personal use only. from TechCrunch https://ift.tt/h6Kjrde via IFTTT