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.
Solid-state storage media delivering low latency versus HDD for databases and AI feature stores.
Intermediate compute layer between edge devices and cloud for local aggregation and control loops.
Large pretrained models adapted to many tasks via fine-tuning or prompting—need substantial GPU memory.
Field-Programmable Gate Array—reconfigurable silicon for custom acceleration when GPUs or ASICs are not ideal.
Integrated hardware, software, and services delivered as a validated solution rather than piece parts.
Models that create text, images, code, or other media; NTS sizes inference and fine-tune clusters accordingly.
General-Purpose computing on Graphics Processing Units—using GPUs for non-graphics scientific and AI kernels.
Graphics Processing Unit with massive parallelism for AI, HPC, and visualization—central to NTS Elite APEX platforms.
Assigning a physical GPU directly to a VM for near-native performance in virtualized environments.
Growing training or inference capacity by adding GPUs within a node or across a fabric with correct topology.
Multi-node cluster with GPUs and high-speed interconnect for distributed AI/HPC jobs.
Designing IT for lower energy and carbon impact through efficient silicon, cooling, and utilization.
Loosely coupled distributed resources contributing cycles to large jobs—precursor concepts to modern HPC clouds.
Distributed storage and compute stack historically used for big-data batch analytics on commodity nodes.
High Bandwidth Memory generation used on advanced GPUs to feed AI kernels with extreme memory bandwidth.