How we simplified AI networking for hyperscalers

The growth in compute power is unlike anything we’ve seen before — but what’s happening beneath it, in the storage layer, is just as critical. DDN’s James Coomer, SVP of Products, describes how a well-built data layer keeps GPUs fully utilized and lifts productivity across the stack. With the right AI Infrastructure, teams reduce idle time, smooth data flow, and convert investment into measurable output. Read to see how to build AI Infrastructure that keeps GPUs saturated and ROI high: bit.ly/4qjRhJl

The most expensive GPU is the one that is not fully utilized Organizations invests tens, hundreds or even thousands of millions in the latest GPUs, data centers, and infrastructure. The storage platform often represents only a small portion of the total budget. If that small portion is not done right, it can hold back the entire system. GPUs end up waiting for data instead of delivering results, reducing output and efficiency. When GPUs are idle, it leads to lower productivity, wasted energy, and higher costs. Think of it like golf ⛳ (I know I am one of those 😊). You have invested in the best custom-fitted clubs money can buy and your swing is at its peak. Then you step onto the course with a worn, one-dollar golf ball. You cannot expect peak performance if one part of your setup limits everything else. That is why choosing DDN makes the difference. It is a storage platform designed to match the power and precision of your GPUs. Your AI system works in harmony, delivering maximum performance, efficiency and value from your AI investment.

Valuation of Astera Labs including: $ALAB Solves critical signal integrity problems in AI infrastructure (PCIe 6.0, CXL connectivity). Products are essential for 2025-2027 AI buildouts, but stickiness is medium-high with significant threats from larger competitors. Top 3 Competitors compared, full valuation inside. https://lnkd.in/gvkbjbJv

Valuation of Astera Labs including: $ALAB Solves critical signal integrity problems in AI infrastructure (PCIe 6.0, CXL connectivity). Products are essential for 2025-2027 AI buildouts, but stickiness is medium-high with significant threats from larger competitors. Top 3 Competitors compared, full valuation inside. https://lnkd.in/gvkbjbJv

Valuation of Astera Labs including: $ALAB Solves critical signal integrity problems in AI infrastructure (PCIe 6.0, CXL connectivity). Products are essential for 2025-2027 AI buildouts, but stickiness is medium-high with significant threats from larger competitors. Top 3 Competitors compared, full valuation inside. https://lnkd.in/gvkbjbJv

Valuation of Astera Labs including: $ALAB Solves critical signal integrity problems in AI infrastructure (PCIe 6.0, CXL connectivity). Products are essential for 2025-2027 AI buildouts, but stickiness is medium-high with significant threats from larger competitors. Top 3 Competitors compared, full valuation inside. https://lnkd.in/gvkbjbJv

📘Edge AI requires intelligent workload distribution and hardware–software alignment. Our new blog breaks down how Intel® AI Suites enhances AI performance across heterogeneous compute engines — and how this supports Premio’s rugged edge systems. 📘 Read the full blog: https://lnkd.in/gsZHhbiZ

The race to achieve AGI (artificial general intelligence) has pushed constituents to invest in and build data centers at a pace far outstripping our ability to make them. Manufacturers are struggling to keep up with AI demand, and the ongoing DRAM shortage is proof of this, with memory kits costing more than double what they did just a few months ago. Now, DigiTimes is reporting that storage is taking a hit, too, with delivery times for enterprise-grade HDDs delayed by two years.

Every query that leaves the device pays a “toll”: GPU time, energy, SRE overhead, and network egress. Add it up and at scale it’s real money. On realistic numbers, edge/on-device inference can be 10–100× cheaper per query—while cutting latency and keeping sensitive data local. We’re helping teams move the right models to the edge: tight SLOs, lower TCO, and cleaner compliance. If you’re revisiting AI unit economics or want a quick pilot and reference architectures, let’s talk. A simple model:

Exciting news to share: Veeam to acquire Securiti AI. This acquisition is all about helping our customers drive rapid AI innovation safely with a unified and trusted platform for all your data! Read more. https://vee.am/yzwwZwq CDW SHI International Corp. Insight Softchoice Connection Ingram Micro TD SYNNEX Arrow Electronics Pure Storage ExaGrid Object First Sophos