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WHTop → 📋 News → Samsung Starts PM1763 SSD Mass Production for AI Infrastructure
Samsung Starts PM1763 SSD Mass Production for AI Infrastructure
📅 - Samsung has started mass production of its PM1763 enterprise SSD, a PCIe 6.0 drive aimed at AI and high-performance computing servers. The launch gives infrastructure buyers another storage component tuned for accelerator-heavy systems, where data movement, power draw, cooling design, and security controls are becoming harder to treat as secondary engineering details in production environments.
The PM1763 is not the flashiest part of an AI server. That job still goes to GPUs, accelerators, and high-bandwidth memory. But storage is becoming harder to ignore as model sizes increase and inference systems demand fast, repeated access to large datasets, checkpoints, embeddings, logs, and [...][... Check source for end of article ...]
📅 - Infoblox Acquires Kentik To Deepen Network Visibility - Infoblox has agreed to acquire Kentik, bringing DNS, DHCP, IP address management, network identity, traffic telemetry, routing data, and cloud observability into a single operating layer. The deal, still subject to regulatory approval and closing conditions, aims to give enterprise networking and security teams cleaner data for automation as AI-driven operations moves from concept toward deployment.
Financial terms of the acquisition were not disclosed. The transaction puts two different sources of infrastructure truth under one roof. Infoblox has long sat in the control plane of enterprise networks, handling DNS, DHCP, IP address management, and related network identity services. Kentik [...]
📅 - SK Hynix Listing Highlights Strain In AI Memory Supply - SK Hynix's planned U.S. listing may prove less important as a financing event than as a marker for where the memory market now stands. The South Korean chipmaker could raise about $28 billion, depending on demand, while AI infrastructure spending keeps pulling high-bandwidth memory, advanced DRAM, and packaging capacity into a more strategic and less predictable role.
The proposed listing gives U.S. investors a more direct route into one of the companies most exposed to the AI memory cycle. SK Hynix plans to offer about 17.8 million American depositary receipts, with each ADR representing one-tenth of a common share. The valuation implied by the company's Seoul share price suggests the [...]
📅 - The Midwestern Advantage: Why Chicago is the Ultimate Hub for Dedicated Servers - For global enterprises, high-frequency trading firms, and IT professionals looking to dominate the North American digital landscape, choosing the right geographical deployment zone is the single most critical infrastructure decision you can make. While many businesses default to coastal hubs like New York or Los Angeles, doing so introduces a severe "latency penalty" for users on the opposite side of the continent. At iDatam, we provide the ultimate solution: premium bare metal dedicated servers located in the absolute digital crossroads of the United States—Chicago, Illinois.
Chicago acts as the terrestrial fiber-optic balancing point for the entire continent. By centralizing your network
📅 - Vultr, SUSE Bring NVIDIA AI Stack To Enterprise Buyers - Vultr and SUSE have launched a validated enterprise AI platform on Vultr infrastructure, combining SUSE AI Factory, NVIDIA software and GPU acceleration for companies trying to move workloads out of pilots. The offer targets buyers who want production AI stacks without assembling Kubernetes, security, orchestration, and infrastructure components themselves across cloud, edge, on-premises, and sovereign environments today.
The product arrives in a market that has mostly moved past the first wave of AI experimentation but has not quite solved the deployment problem. Enterprises can test models. They can run proofs of concept. They can buy access to GPUs, usually at uncomfortable prices. [...]
📅 - Rambus DDR5 9600 Targets AI Server Memory Gap - Rambus has introduced a DDR5 9600 Server RDIMM chipset aimed at AI-heavy data center platforms, as memory bandwidth becomes a more visible constraint in inference, agentic workflows, and HPC systems. The chipset, built around its sixth-generation registering clock driver, supports RDIMMs running up to 9600 MT/s, a 20 percent bandwidth increase over the prior generation.
The announcement sits in a less glamorous part of the AI infrastructure market, but one that increasingly decides whether expensive servers perform as expected. GPUs get the attention. Networking gets more of it now. Power and cooling dominate planning calls. Yet CPU-attached memory still shapes throughput for a large [...]
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