Top Tech News: Apple Joins Effort to Develop Next-Gen AI Data Centers; Raspberry AI Raises $24 Million in Series A Funding

Apple is collaborating on the development of next-gen AI data centers, marking a significant step in enhancing its cloud infrastructure and AI capabilities. This initiative focuses on cutting-edge technology that aims to improve performance and efficiency for AI applications. Meanwhile, Raspberry AI has successfully raised $24 million in Series A funding to further accelerate its AI-driven solutions.
Top Tech News: Apple Joins Effort to Develop Next-Gen AI Data Centers
Written By:
Shiva Ganesh
Published on

Good morning, tech fam; here are some quick tech updates for you to catch up to!

What’s New Today: Apple Joins Effort to Develop Next-Gen AI Data Centers

Fast-Track Insights: Raspberry AI Raises $24 Million in Series A Funding

Here’s a quick rundown of the biggest tech headlines making waves today. From the Apple Joins Effort to Develop to Ford Hiring Computer Science Graduates, let’s dive into the top tech stories of the day.

Apple Joins Effort to Develop Next-Gen AI Data Centers

Apple has joined the Ultra Accelerator Link Consortium (UALink), a group developing a new technology to connect AI accelerator chips in data centers. UALink aims to enhance AI model training and performance by linking chips like GPUs and custom solutions, using open standards such as AMD's Infinity Fabric. Apple’s participation comes as it increases investments in infrastructure for its AI-driven features under Apple Intelligence. While Apple’s AI features have faced mixed reviews, the company is reportedly developing a new server chip to improve efficiency in its AI data centers, marking its commitment to AI advancements.

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Raspberry AI Raises $24 Million in Series A Funding

Raspberry AI, a generative AI platform for fashion creatives, has secured $24 million in Series A funding led by Andreessen Horowitz, with additional contributions from Gokul Rajaram, Ken Pilot, and investors like Greycroft. The funds will support team expansion and accelerate product development. Raspberry AI’s platform helps fashion brands like Under Armour and MCM Worldwide rapidly create photorealistic designs, reducing time spent on physical samples and design revisions. The technology allows designers to instantly visualize how products look, fit, and drape, enhancing efficiency. The company plans to expand its AI capabilities into other retail sectors, including furniture and home.

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Ford Hiring Computer Science Graduates for New Role

Ford is hiring a Product Manager for their Chennai, India location. The ideal candidate should have hands-on experience with ETL architecture, IBM Cloud Pak/DataStage, and SQL queries for data analysis. A solid understanding of GCP, Terraform, and GitHub and knowledge of database structures, data mining, and Agile environments are required. The role involves designing and delivering data integration solutions, managing production failures, and creating data models, and leading global projects. A bachelor's degree in Computer Science or a related field, with 7 to 9 years of experience, is required. Experience with Astronomers is a plus.

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Dfns Secures $16M to Grow Crypto Wallet Infrastructure 

Dfns raised $16 million in Series A funding to expand its crypto wallet infrastructure for institutional clients, including banks, payment services, and trading platforms in regions like the EU, UK, UAE, and US. The company aims to provide bank-grade security, smarter transaction management, and enhanced user experiences. Focused on institutional clients, Dfns has secured 130 clients, processing $1 billion in monthly transactions across 10 million wallets. Since shifting its focus two years ago, Dfns has achieved 300% year-over-year growth. The company was founded in 2020 and previously raised $13.5 million in seed funding in April 2022.

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Emerging Careers in AI and Data Science: Opportunities in 2025

With the evolution of AI and data science, the demand for exciting career opportunities related to these fields is increasing. Let’s check some of the job profiles with AI and Data Science knowledge.

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