AI data storage is evolving at breakneck speed. In 2026, the convergence of high‑density flash, AI‑native platforms, and predictive analytics is reshaping how enterprises manage data.
These trends collectively drive a sustainable, high‑performance storage ecosystem that supports the next wave of AI workloads.
Databricks continues to dominate the AI and data platform space, delivering a mix of strategic funding, product innovation, and industry influence. The company’s recent Series K round pushed its valuation past the $100 billion mark, underscoring investor confidence in its AI‑centric roadmap.
Qubika’s QBricks leverages Databricks to accelerate AI agent development, while a former real‑estate chief’s exit signals a shift toward a more tech‑focused corporate culture. Together, these stories paint a picture of a company that is not only scaling its platform but also reshaping how enterprises build and deploy AI solutions.
Snowflake is positioning its AI Data Cloud as the backbone for enterprise generative AI. A $200 million partnership with OpenAI embeds ChatGPT‑style models directly into Snowflake’s governed environment, letting companies run large language models on trusted data without moving it elsewhere. This move accelerates AI adoption while preserving security and compliance.
Key highlights: - Cortex suite enables developers to build AI‑powered apps, including the new Cortex Code coding agent. - Snowflake Intelligence agents report the fastest adoption rate in company history, signaling strong demand for embedded AI. - Integrated governance, multi‑cloud support, and a unified data lake simplify AI pipelines and reduce operational overhead.
Overall, Snowflake’s strategy blends data warehousing strength with cutting‑edge AI, creating a differentiated platform that can scale from analytics to generative workloads.
Engineers must evaluate storage not in isolation, but as part of an integrated system. As 2026 unfolds, forecasts indicate <strong>increasing constraints across multiple dimensions of data center design</strong>.
When AI leaders need performance without compromise, they turn to the trusted data platform behind some of the world’s most advanced AI environments. DDN partners with NVIDIA, Supermicro, Google Cloud, and leading Al innovators to deliver: Unrivaled performance at scale, maximizing Al efficiency and accelerating time to insight. AI-optimized Storage for large-scale LLMs, generative Al, and deep learning.
Seagate management revealed during their late January 2026 earnings call that <strong>their manufacturing capacity for high-density "nearline" hard-disk drives (HDDs) for the remainder of the calendar year is already fully allocated</strong>—effectively sold out.
05, 2026 (GLOBE NEWSWIRE) -- CES—NVIDIA today announced that the NVIDIA BlueField®-4 data processor, part of the full-stack NVIDIA BlueField platform, powers <strong>NVIDIA Inference Context Memory Storage Platform</strong>, a new class of AI-native storage ...
<strong>The firm expects the memory storage super cycle to run through at least 2026</strong>. It argues that AI training, inference, richer media formats and lengthening corporate retention policies will keep utilization and pricing elevated.
High Performance Computing (abbreviated as AI) requires high-performance storage, and Storage Scale is IBM’s flagship Global Data Platform for the unstructured data that AI and enterprise computing require. But IBM keeps improving Storage Scale and its hardware relative, the Storage Scale System.
High Performance Computing (abbreviated as AI) requires high-performance storage, and Storage Scale is IBM’s flagship Global Data Platform for the unstructured data that AI and enterprise computing require. But IBM keeps improving Storage Scale and its hardware relative, the Storage Scale System.
Simultaneously, AI is making storage smarter and more efficient by enabling autonomous management, predictive maintenance, compliance enforcement and tiered storage hierarchies. Jonathan Garini, CEO and enterprise AI strategist at Fifthelement, said AI models produce massive amounts of structured and unstructured data that demand both scalability and speed.
“AI inference isn’t just a GPU ... Mehta. “<strong>Expect tight supply into 2026, higher pricing, and a faster move to dense [flash storage] footprints, especially where power, space, and latency are constrained</strong>.”...
Hyperscale AI data centers bundle hundreds of thousands of specialized computer chips called graphics processing units (GPUs), such as Nvidia’s H100s, into synchronized clusters that work like one giant supercomputer. These chips excel at processing massive amounts of data in parallel. Hundreds of thousands of miles of fiber-optic cables connect the chips like a nervous system, letting them communicate at lightning speed. Enormous storage systems continuously feed data to the chips as the facilities hum and whir around the clock.
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Stay updated with the latest news and press releases from Databricks, covering innovations, partnerships, and more.
A LinkedIn post from SunnyData highlights new guidance on using lesser-known <strong>Databricks</strong> capabilities to improve dashboard deployment practices. According to the pos...
Plummeting software stocks aren’t good <strong>news</strong> for any company with a big enterprise business that is considering going public. Nonetheless, there’s a growing consensus that 12-year-old <strong>Databricks</strong>—whose initial public offering has been chatted about for years—could take the step by the ...
<strong>Databricks</strong>' former real estate chief spent six years expanding the AI company's footprint to 40+ properties before joining Cushman & Wakefield.
Qubika has announced the public launch of QBricks, a Built on <strong>Databricks</strong> enterprise accelerator designed to speed up the development, evaluation, and deployment of AI agents at scale.
A LinkedIn post from <strong>Databricks</strong> highlights a call for speaker proposals for its Data + AI Summit, inviting practitioners working on real-world challenges in data en...
ChatGPT maker OpenAI and cloud data platform <strong>Snowflake</strong> have entered a multi-year partnership valued at $200 million to integrate advanced artificial intelligence models directly into <strong>Snowflake</strong>’s enterprise data environment, as companies look to deploy <strong>AI</strong> at scale without compromising security, ...
<strong>Snowflake</strong> and OpenAI's $200 million partnership marks a pivotal moment in enterprise <strong>AI</strong>, combining cloud data infrastructure with advanced language models to address critical integration challenges. The multi-year agreement positions both companies to dominate the burgeoning market for <strong>AI</strong>-powered ...
<strong>AI</strong>-Driven Growth Potential: <strong>Snowflake</strong>'s enterprise <strong>AI</strong> agent, <strong>Snowflake</strong> Intelligence, achieved the fastest adoption rate in the company's history, indicating that despite the overall revenue growth slowdown, strong demand for <strong>AI</strong> features could provide momentum for future growth.
Ready to become a certified Cloud Pak for AIOps v4.6 Administrator? Register now and use code IBMTechYT20 for 20% off of your exam → https://ibm.biz/Bde2MqLe...
In this What is video from Calvin Zito, learn about AI storage. This video is a brief video introduction to the topic but you can learn a long more on the Wh...
This session is for AI/ML and data practitioners who want to build AI/ML data pipelines at scale and select the right combination of block, file, and object ...
Charles Giancarlo, Chairman And CEO of Pure Storage, joined "Forbes Talks" discuss the future of data storage, sustainability in tech, and the importance of ...
Tiered storage architectures integrating parallel file systems and object storage combine the best of both worlds: performance with capacity and cost advanta...
Charles Giancarlo, Chairman And CEO of Pure Storage, joined "Forbes Talks" discuss the future of data storage, sustainability in tech, and the importance of data in the AI development race.
Join the cloud-based Databricks boot camp that starts February 9th for 20% off with code DATABRICKS20. You can use code here: https://www.dataexpert.io/DATAB...
Databricks Breaking News: 2026 Week 4: 19 January 2026 to 25 January 2026*00:00* 2026 Week4: 19 January 2026 to 25 January 2026*00:12* Temp Tables*03:52* Ref...
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In this FREE Databricks end-to-end project, I explain the complete real-world Databricks project architecture using the Databricks Free Edition.This course i...
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