Insights · AI · HPC · Procurement
Server, AI & HPC Technology Insights
Expert perspectives on rack servers, GPU platforms, storage, and federal procurement from the New Tech Solutions engineering team.
Blog
Use the topic cards to jump into GPU, federal, or storage themes—or scroll to the full article list with tags and archives.
Every post stays reachable below: same NopCommerce blog listing, pagination, and filters—now under the Elite hub chrome shared with /server-3.
Topics
Jump to article themes or product hubs—then browse the full post list below.
Practical notes on AI/HPC infrastructure, storage, cooling, and procurement - not generic marketing fluff.
No - treat posts as guidance. Your BOM still needs an architecture review and current silicon availability.
Silicon moves fast; confirm lead times and SKUs at quote time.
Ask marketing/sales for permission and the preferred citation - especially for public RFPs.
Articles
Engineering and procurement insights—filter with tags or archives in the sidebar.
Compact boards with CPU/SoC used in appliances, labs, and IoT gateways.
Urban systems using sensors and analytics for traffic, utilities, and public safety—edge + core compute.
Network adapters with programmable cores offloading crypto, virtual switching, and storage protocols.
Storage/memory services abstracted by software pools spanning nodes and media types.
Centralized control planes programming network behavior via APIs instead of box-by-box CLI alone.
How media, protocols, and redundancy are arranged to meet capacity, performance, and durability goals.
Artificially generated datasets used to train or test AI when real data is scarce or sensitive.
Integrated CPU, GPU, and I/O on one package common in edge and embedded platforms.
Engineering airflow, liquid, and sensors so components stay within safe temperatures under load.
Placing hot data on fast media and cold data on cheaper tiers automatically or by policy.
Pedestal form-factor server for offices, labs, and edge closets when racks are unavailable.
NVIDIA open inference serving software for multi-model GPU/CPU deployment with metrics and batching.
Design goal for trading, 5G, and control systems measured in microseconds to low milliseconds.
Hosted desktops delivered to thin clients; GPU pools support CAD and visualization users.
A VM instance with virtual CPU, memory, and disks—or a marketed cloud instance.