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At NVIDIA GTC 2025, Lenovo showed off its latest Hybrid AI Factory platforms in partnership with NVIDIA, focused on agentic AI.
The Lenovo Hybrid AI Advantage framework integrates a full-stack hardware and software solution, optimized for both private and public AI model deployments, and spans on-prem, edge, and cloud environments.
At the recent GTC 2025 event, NetApp announced, in collaboration with NVIDIA, a comprehensive set of product validations, certifications, and architectural enhancements to its intelligent data products.
The announcements include NetApp’s integration with the NVIDIA AI Data Platform, support for NVIDIA’s latest accelerated computing systems, and expanded availability of enterprise-grade AI infrastructure offerings, including NetApp AFF A90 and NetApp AIPod.
At the recent NVIDIA GTC conference, WEKA announced the general availability of its Augmented Memory Grid, a software-defined storage extension engineered to mitigate the limitations of GPU memory during large-scale AI inferencing.
The Augmented Memory Grid is a new approach that integrates with the WEKA Data Platform and leverages NVIDIA Magnum IO GPUDirect Storage (GDS) to bypass CPU bottlenecks and deliver data directly to GPU memory with microsecond latency.
At the recent NVIDIA GTC event, IBM announced new content-aware capabilities for its Storage Scale platform, expanding its AI infrastructure offerings to support more efficient, semantically rich data access for enterprise AI applications.
Broadcom’s acquisition of VMware has left a lasting impact on the enterprise IT landscape. Promising simplification, Broadcom’s licensing and bundling changes have instead created confusion, increased costs, and led to widespread dissatisfaction among VMware customers. Many of these customers are actively exploring alternatives, driven by frustration and the need to future-proof their IT environments. This Research Report takes a look at how to best approach looking for a VMware alternative.
Cloudian’s new HyperStore with NVIDIA GPUDirect for Object Storage is a significant step forward in high-performance data management. The seamless integration of GPUDirect with HyperStore allows users to benefit from Cloudian’s scalability and ease of use while enabling a dedicated high-performance data path for GPU workloads.
While AI is foundational to the next wave of digital transformation, traditional data and storage infrastructure -even many parallel file systems- isn’t prepared for the demands required to support today’s AI lifecycle, which places unprecedented demands on storage and data infrastructure.
Developing an effective data infrastructure for AI requires a holistic approach, considering data, database, processing, and storage as a unified entity. This is how VAST Data approaches the challenge.
Oracle announced the general availability of the Oracle Exadata Database Service on Exascale Infrastructure, offering extreme performance, reliability, availability, and security for Oracle Database workloads. This new infrastructure is now available on Oracle Cloud Infrastructure (OCI), catering to any workload size for all Oracle Database customers.
Traditional storage solutions, whether on-premises or in the cloud, often fail to meet the varying needs of each phase of the AI lifecycle. These legacy approaches are particularly ill-suited for the demands of distributed training, where keeping an expensive AI training cluster idle has a real economic impact on the enterprise.
Oracle HeatWave GenAI is now generally available. The release features the industry’s first in-database large language models (LLMs), automated vector store, scale-out vector processing, and natural language conversations informed by unstructured content.
Every week NAND Research puts out a newsletter for our industry customers taking a look at what’s driving the week, and what happened last week that caught our attention. Below is a excerpt from this week’s, March 24, 2025.
One of the most impactful but underappreciated architectural changes impacting storage performance for AI is how these solutions manage metadata. Separating metadata processing from data storage unlocks significant gains in performance, scalability, and efficiency across AI workloads. Let’s look at why metadata processing matters for AI.
If you blinked, you might have missed the tidal wave of AI, 5G, and cloud announcements at Mobile World Congress 2025. But don’t worry—we’ve got the cheat sheet.
One thing was clear at the just-wrapped NVIDIA GTC event: the race to cool the next generation of HPC and AI systems is intensifying.
Let’s take a quick look at some of our favorite announcements.
If you thought AI was already moving fast, buckle up, Jensen Huang threw more fuel on the fire. NVIDIA’s GTC 2025 keynote wasn’t just about new GPUs; it was a full-scale vision of computing’s future, one where AI isn’t just a tool — it’s the foundation of everything.
Let’s look at what Jensen talk about during his 2+ hour keynote.
Google today announced its intent to acquire cybersecurity start-up Wiz for a staggering $32 billion in an all-cash deal. This acquisition is one of the largest ever cybersecurity deals.
A roll-up of the week’s industry news with analysis and opinion delivered to your inbox every Monday.
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