Technology Glossary in plain words

The packet core that anchors 5G sessions.

Login, roaming, and policy.

Read the full article for more.

Layered radio, transport, and core design that separates control and user planes so gov.

Read the full article for more.

Radio Access Network gear.

Radios, DU/CU functions, and fronthaul.

Ask NTS if you need a build.

Pre-standard research into terahertz bands, AI-native networks, and sensing.

Useful context for long-range campus roadmaps even while live programs remain on 5G and private LTE.

Use it in design reviews.

Jobs that offload math-heavy kernels to GPUs, DPUs, or FPGAs not CPU alone.

Key for NTS AI training, model serving, and HPC cluster builds.

Map it to a product page next.

AI systems that plan and act over tools with guardrails.

Needs steady GPU model serving hosts, retrieval storage, and network separation like NTS federal staging rooms.

Ask NTS if you need a build.

Silicon built for neural-network math selected by NTS against power, cooling, and PCIe/CXL layout.

Confirm it with an NTS engineer.

A live software surface that consumes models.

Chat, vision, ranking.

Confirm it with an NTS engineer.

With models to trigger workflows with audit trails for regulated buyers.

Map it to a product page next.

Controls for model risk, data residency, logging, and approved hardware baselines so AI platforms.

Map it to a product page next.

High-speed object and parallel file systems that feed training pipelines and retain datasets with lifecycle and retention policies.

Keep this term handy for RFQs.

Running model serving close to sensors or users to cut delay and bandwidth.

Compact GPU/edge servers NTS images for harsh or bandwidth-limited sites.

Keep this term handy for RFQs.

Computer-vision pipelines that match facial embeddings.

NTS focuses on secure, on-prem model serving hosts not consumer cloud APIs.

Read the full article for more.

An large training and model serving plant.

Power, cooling, fabric, and rack standards engineered as a single program of record.

Ask NTS if you need a build.

Models that detect anomalies, triage alerts, and assist SOC analysts.

Often roll out on separate GPU nodes with SIEM link.

Share it with your review team.

The servers, GPUs, NICs, and storage that make training and model serving practical at.

Read the full article for more.

Risk, fraud, and trading analytics on low-delay GPU/CPU clusters with strict data-protection and audit requirements.

Map it to a product page next.

Network tuning, RAN intelligence, and customer-experience models hosted on telco edge and core compute.

Confirm it with an NTS engineer.

Serving trained models to produce predictions in live.

Batch or real-time.

Share it with your review team.

End-to-end stack: accelerated servers, storage, networking, control, and sites services NTS link for AI programs.

Note it in your BOM comments.

Connecting models to business apps, identity, and data platforms with staging, burn-in, and change control.

Confirm it with an NTS engineer.

Automated path from data ingest through training, evaluation, and builds with repeatable setup on NTS-built clusters.

Read the full article for more.

Shared services for model lifecycle.

Registries, serving, checks.

Read the full article for more.

Model behavior that chains multi-step logic.

Often paired with RAG and larger context windows on dense GPU memory.

Share it with your review team.

Governance for model bias, drift, privacy, and live failure modes mapped to gov ATO-style evidence.

Ask NTS if you need a build.

Optimizing model weights on labeled or unlabeled data with multi-GPU clusters, fast interconnects, and checkpoint storage.

Read the full article for more.

Any job pattern.

Train, fine-tune, infer, embed.

Read the full article for more.

Analytics outputs produced by models not static BI alone.

Dashboards, alerts, and recommendations on business data.

Ask NTS if you need a build.

Site and chassis airflow designs that reject heat without liquid loops.

Still the default for many NTS rack builds under moderate density.

Read the full article for more.

Storage arrays or servers populated entirely with solid-state media for low delay and high.

Note it in your BOM comments.

Custom silicon tuned for a fixed function offering efficiency when volumes justify the design cost.

Confirm it with an NTS engineer.

Systems that learn patterns from data to classify, generate, or decide.

Delivered at NTS as GPU platforms with secure staging.

Keep this term handy for RFQs.

IoT devices plus on-device or edge AI that act on sensor streams without round-tripping.

Use it in design reviews.

Cloud-like set up of dedicated physical servers without a shared hypervisor.

Useful for licensed software and noisy-neighbor avoidance.

Note it in your BOM comments.

A physical host dedicated to one tenant or jobs.

NTS images, burns in, and ships with firmware baselines for federal builds.

Ask NTS if you need a build.

Silicon or virtual hosting functions that modulate/demodulate radio waveforms in cellular systems.

Often co-located with edge compute.

Read the full article for more.

Large, high-velocity datasets that need spread compute and able to grow storage not a single RDBMS.

Note it in your BOM comments.

LUN-style volumes presented as disks to servers.

SAN or software-defined.

Confirm it with an NTS engineer.

Controls protecting spread ledgers.

Key custody, node hardening, and network network split on dedicated servers.

Share it with your review team.

Hosts tuned for validator or ledger node jobs with steady networking and secure key storage.

Read the full article for more.

Baseboard Management Controller.

Remote firmware that lets remote power, console, and health checks even if the OS is down.

Share it with your review team.

Temporary CPU/GPU frequency increase above base clocks when thermal and power headroom lets.

Factored into NTS cooling designs.

Share it with your review team.

Reporting and dashboards on curated business data.

Increasingly adjacent to GPU-accelerated predictive models.

Use it in design reviews.

Controller Area Network.

A rugged vehicle/industrial serial bus.

Note it in your BOM comments.

Content Delivery Network that caches content at PoPs to reduce delay and origin load.

Map it to a product page next.

Near-live capture of data changes for detailed recovery points.

Complements backup and DR strategies.

Ask NTS if you need a build.

Classic split where clients request services from central servers.

Still the backbone of most business apps NTS hosts.

Share it with your review team.

Training or model serving hosted on public or private cloud GPU estates.

NTS also designs on-prem alternatives for data residency.

Ask NTS if you need a build.

Analytics pipelines running on flexible cloud compute and object storage with governed access for gov teams.

Note it in your BOM comments.

Packaged cloud ability consumed as a service.

Compute, containers, or platforms.

Read the full article for more.

On-demand shared or dedicated compute, storage, and networking delivered over APIs with metered usage.

Note it in your BOM comments.

Policies and tooling for classifying, moving, and protecting data over cloud and on-prem stores.

Keep this term handy for RFQs.

Storage abstracted and automated through software APIs not fixed appliance silos.

Keep this term handy for RFQs.

The physical and virtual foundation.

Servers, fabric, storage, and control.

Confirm it with an NTS engineer.

Apps built for containers, microservices, and flexible scaling not monoliths on single hosts.

Ask NTS if you need a build.

Virtual networks, load balancers, and interconnects that stitch cloud regions and on-prem sites.

Ask NTS if you need a build.

HTTP-accessible object buckets for unstructured data at scale.

Common landing zone for AI datasets and backups.

Confirm it with an NTS engineer.

Central or virtual hosting RAN functions hosted on standard servers not proprietary baseband appliances.

Read the full article for more.

Moving jobs from public cloud back to on-prem or colo when TCO, delay, or control favor owned systems.

Share it with your review team.

Identity, encryption, posture management, and network split applied to cloud estates.

Mirrors Zero Trust on NTS racks.

Use it in design reviews.

A virtual or bare-metal instance offered through a cloud control plane with flexible sizing.

Confirm it with an NTS engineer.

Organization operating shared cloud regions.

NTS often hybridizes CSP capacity with on-prem GPU rooms.

Use it in design reviews.

Remote durable storage accessed over the network.

Block, file, or object.

Keep this term handy for RFQs.

Total cost of ownership for cloud.

Compute, egress, storage, and ops.

Read the full article for more.

An apps or batch job sized and placed over cloud or hybrid resources from cost and delay.

Use it in design reviews.

SaaS and managed platforms consumed over the internet with vendor-operated backends.

Confirm it with an NTS engineer.

Unsupervised grouping of similar records.

Used in analytics and ML feature exploration on large datasets.

Ask NTS if you need a build.

Low-cost tiers for rarely accessed archives.

Object or tape.

Read the full article for more.

Housing customer-owned gear in a third-party data center for power, cooling, and links.

Share it with your review team.

Disaggregated compute, storage, and accelerators composed on demand by fabric not fixed server SKUs.

Read the full article for more.

A worker server in a cluster that runs jobs.

NTS validates BIOS, firmware, and fabric before cluster acceptance.

Confirm it with an NTS engineer.

Models that interpret images and video.

Inspection, autonomy, security.

Note it in your BOM comments.

Multiple networked nodes coordinated for parallel work.

HPC, AI, or virtual hosting farms.

Read the full article for more.

Protecting data in use by TEEs/attestation so private jobs can run on shared hardware with stronger separation.

Use it in design reviews.

Packaging apps with dependencies into portable containers for steady roll out over NTS-imaged hosts.

Ask NTS if you need a build.

Managed container platforms offered as a service to development teams.

Note it in your BOM comments.

Chat and voice assistants powered by LLMs or NLU stacks, usually fronting RAG.

Read the full article for more.

CDU hardware that pumps and conditions site coolant to racks or cold plates in liquid-cooled builds.

Read the full article for more.

An independent CPU processing unit.

Core counts and E/P-core mixes drive licensing and density choices on NTS BOMs.

Confirm it with an NTS engineer.

Central Processing Unit that runs general-purpose code.

Paired with GPUs/DPUs in accelerated NTS servers.

Map it to a product page next.

Cryptographic proof that a platform or enclave is in an expected measured state before secrets are released.

Map it to a product page next.

NVIDIA parallel computing platform used by many AI/HPC frameworks.

NTS validates CUDA-ready GPU SKUs and drivers in staging.

Confirm it with an NTS engineer.

Cache-coherent interconnect over PCIe enabling memory pooling and device coherency for next-gen composable servers.

Share it with your review team.

Ability to withstand and recover from cyber attack while preserving mission functions.

Backup, network split, and tested restore.

Ask NTS if you need a build.

Moving inactive records to long-term storage with retention and legal-hold controls.

Note it in your BOM comments.

Site providing power, cooling, space, and interconnect for IT gear.

NTS ships pre-link racks into gov and colo rooms.

Confirm it with an NTS engineer.

Logical and physical design of halls, rooms, fabrics, and tiers that determine density and failure domains.

Read the full article for more.

Industry modular server hardware specifications aimed at multi-vendor interchangeability in dense data centers.

Keep this term handy for RFQs.

Abstracting servers, storage, and networks into virtual resources for higher use and separation.

Map it to a product page next.

Storing unique data blocks once to shrink backup and primary footprints without losing restore fidelity.

Map it to a product page next.

Large repository of raw and curated data in native formats for analytics and AI feature engineering.

Share it with your review team.

Policies and tooling for quality, lineage, retention, and access over business stores.

Ask NTS if you need a build.

Outsourced data lifecycle services delivered with SLAs.

Often hybrid with on-prem systems of record.

Keep this term handy for RFQs.

Controlled move of datasets between platforms with checks, cutover, and rollback plans.

Note it in your BOM comments.

Controls ensuring personal and private data is collected, used, and shared in legal and policy bounds.

Keep this term handy for RFQs.

Transforming raw inputs into usable outputs.

ETL, stream processing, or batch analytics.

Ask NTS if you need a build.

Backup, snapshot, replication, and encryption practices that keep data recoverable and confidential.

Ask NTS if you need a build.

Technical and administrative controls preventing unauthorized access, alteration, or disclosure of data.

Use it in design reviews.

Media and systems that persist information.

From NVMe arrays to object archives.

Keep this term handy for RFQs.

Moving bytes between sites, clouds, or media with bandwidth, checksum, and encryption considerations.

Use it in design reviews.

Structured analytical store tuned for reporting queries and governed metrics.

Note it in your BOM comments.

Neural networks with many layers trained on large datasets.

Primary consumer of multi-GPU NTS clusters.

Use it in design reviews.

How systems is delivered.

On-prem, colo, private cloud, public cloud, or hybrid.

Read the full article for more.

A living digital model of a physical asset or process fed by telemetry for simulation and prediction.

Keep this term handy for RFQs.

Cold plates on CPUs/GPUs that transfer heat to coolant loops for high-density AI racks.

Use it in design reviews.

Plans and replicated systems that restore services after site or system failure in defined RTO/RPO.

Share it with your review team.

Spreading work over networked nodes that coordinate to finish jobs faster or more resiliently.

Use it in design reviews.

NVIDIA Deep Learning Super Sampling.

AI upscaling used in graphics pipelines.

Keep this term handy for RFQs.

Data Processing Unit.

Smart NIC-class silicon offloading networking, storage, and security from the host CPU.

Confirm it with an NTS engineer.

Efficiency and speed CPU core types on modern Intel platforms.

NTS tunes BIOS and affinity for mixed jobs.

Keep this term handy for RFQs.

Processing near data sources to cut delay and backhaul.

Edge servers NTS hardens for field and campus sites.

Ask NTS if you need a build.

Smaller sites close to users or radios hosting delay-private apps and caching.

Share it with your review team.

Endpoints and gateways that sense, actuate, or preprocess data before cloud or core compute.

Use it in design reviews.

Hardening, identity, and network split for spread edge nodes that cannot rely on a central SOC alone.

Note it in your BOM comments.

Rugged or compact servers placed at the edge for model serving, caching, and local services.

Use it in design reviews.

Architecture that spans local processing and central cloud for scale, analytics, and backup.

Note it in your BOM comments.

Business SSD form factors for dense, serviceable flash in servers and JBODs.

Map it to a product page next.

Storage that scales capacity and speed with demand, often object or software-defined.

Note it in your BOM comments.

Desktops, VDI, and apps delivered to people.

Often GPU-backed for engineering and visualization.

Confirm it with an NTS engineer.

Platforms tuned for speed per watt through silicon choice, power capping, and cooling design.

Read the full article for more.

AI platforms governed for business processes, security, and SLAs not lab experiments.

Note it in your BOM comments.

Organization-wide analytics with shared data models, access control, and live dashboards.

Use it in design reviews.

Line-of-business systems that NTS hosts on steady virtual hosting or bare-metal estates.

Read the full article for more.

Private or dedicated cloud operated to business standards for control and compliance.

Share it with your review team.

Control, policy, and lifecycle tooling for containers at live scale.

Read the full article for more.

Coordinated on-prem and public cloud with common identity, networking, and governance.

Read the full article for more.

Foundational compute, storage, network, and sites services that keep business systems available.

Map it to a product page next.

Connecting apps and data over domains with APIs, buses, and secure staging practices.

Ask NTS if you need a build.

Campus and data-center networks engineered for network split, QoS, and high uptime.

Confirm it with an NTS engineer.

Link suites managing finance, supply, and operations.

Often on clustered database tiers.

Use it in design reviews.

Shared storage meeting business durability, snapshots, and multipath requirements.

Confirm it with an NTS engineer.

Redundancy technique storing coded fragments over nodes for efficient durability versus full replication.

Ask NTS if you need a build.

Layer-2/3 fabric device connecting servers and uplinks.

NTS sizes leaf-spine for AI and HPC east-west traffic.

Read the full article for more.

Methods that make model decisions interpretable for auditors and operators in regulated settings.

Use it in design reviews.

Training over decentralized datasets without centralizing raw data.

Useful for privacy-private gov teams.

Keep this term handy for RFQs.

Solid-state storage media delivering low delay versus HDD for databases and AI feature stores.

Ask NTS if you need a build.

Intermediate compute layer between edge devices and cloud for local aggregation and control loops.

Ask NTS if you need a build.

Large pretrained models adapted to many tasks by fine-tuning or prompting.

Need substantial GPU memory.

Confirm it with an NTS engineer.

Field-Programmable Gate Array.

Reconfigurable silicon for custom acceleration when GPUs or ASICs are not ideal.

Note it in your BOM comments.

Link hardware, software, and services delivered as a checked solution not piece parts.

Note it in your BOM comments.

Models that create text, images, code, or other media.

NTS sizes model serving and fine-tune clusters so.

Read the full article for more.

General-Purpose computing on Graphics Processing Units.

With GPUs for non-graphics scientific and AI kernels.

Read the full article for more.

Graphics Processing Unit with massive parallelism for AI, HPC, and visualization.

Central to NTS Elite APEX platforms.

Note it in your BOM comments.

Assigning a physical GPU directly to a VM for near-native speed in virtual hosting setup.

Map it to a product page next.

Growing training or model serving capacity by adding GPUs in a node or over.

Note it in your BOM comments.

Multi-node cluster with GPUs and high-speed interconnect for spread AI/HPC jobs.

Note it in your BOM comments.

Designing IT for lower energy and carbon impact through efficient silicon, cooling, and use.

Map it to a product page next.

Loosely coupled spread resources contributing cycles to large jobs.

Precursor concepts to modern HPC clouds.

Share it with your review team.

Spread storage and compute stack historically used for big-data batch analytics on standard nodes.

Map it to a product page next.

High Bandwidth Memory generation used on advanced GPUs to feed AI kernels with extreme memory bandwidth.

Read the full article for more.

Next HBM generation targeting higher bandwidth and capacity for frontier training accelerators.

Read the full article for more.

Combining CPUs, GPUs, FPGAs, and DPUs in one system so each kernel runs on the best device.

Confirm it with an NTS engineer.

Servers and pairs designed to minimize downtime by redundancy, clustering, and failover.

Keep this term handy for RFQs.

Racks packed with power-dense nodes that need careful PDU, cooling, and cable planning.

Note it in your BOM comments.

Simulation and modeling jobs needing tight interconnects, parallel filesystems, and job schedulers.

Note it in your BOM comments.

Low-delay, high-speed storage feeding HPC and AI pipelines.

Keep this term handy for RFQs.

Cryptography allowing limited computation on encrypted data.

Map it to a product page next.

Scheduler-managed compute cluster for scientific and engineering jobs.

NTS link nodes, fabric, and login hosts.

Ask NTS if you need a build.

Tools and processes that operate jobs over on-prem and public clouds with steady policy.

Confirm it with an NTS engineer.

Storage that spans on-prem arrays and cloud tiers with tiering and replication policies.

Read the full article for more.

Operating mixed traditional, virtual hosting, and cloud estates under one governance model.

Read the full article for more.

Compute, storage, and virtual hosting combined in appliance-like nodes managed as a cluster.

Map it to a product page next.

Web-scale architectures emphasizing standard servers, automation, and failure-tolerant software.

Read the full article for more.

Submerging servers in dielectric fluid for extreme density heat removal in AI factories.

Note it in your BOM comments.

Keeping working sets in RAM for microsecond-class analytics and caching.

Read the full article for more.

On-demand VMs, bare metal, and storage APIs without owning the site layer.

Ask NTS if you need a build.

Advanced Matrix Extensions accelerating AI/math kernels on compatible Intel CPUs for mixed CPU/GPU estates.

Note it in your BOM comments.

Automated classification, tiering, and protection driven by policy and analytics.

Read the full article for more.

Storage and data platforms that optimize placement and speed with telemetry and policy engines.

Use it in design reviews.

Edge sites with enough compute and autonomy to run AI and control loops locally.

Use it in design reviews.

Networks of sensors and actuators generating continuous telemetry for operations and analytics.

Use it in design reviews.

Software that consumes IoT streams for checks, automation, or customer-facing services.

Keep this term handy for RFQs.

Local processing of IoT data for filtering, model serving, and protocol translation.

Use it in design reviews.

Bridge device converting OT protocols to IP and applying security before cloud or data-center ingest.

Read the full article for more.

Addressing schemes: IPv4 scarcity vs IPv6 abundance.

NTS dual-stacks fabrics during modernization.

Share it with your review team.

The servers, storage, networks, and sites that run the business.

Designed, staged, and supported by NTS.

Use it in design reviews.

Buying practices covering BOM checks, contract vehicles, and lifecycle support for dense GPU/HPC rooms.

Map it to a product page next.

Local Area Network connecting devices in a site.

Foundation for rack and campus fabrics.

Confirm it with an NTS engineer.

Transformer models trained on vast text corpora for generation and reasoning.

Need high-VRAM GPUs and fast storage.

Keep this term handy for RFQs.

With coolant not air alone to remove heat from dense CPU/GPU racks.

CDUs, cold plates, or immersion.

Note it in your BOM comments.

GPU clusters, KV-cache memory, vector stores, and serving stacks that host large language models in live.

Map it to a product page next.

CPUs with constrained thermal design power for dense or edge enclosures where cooling is limited.

Map it to a product page next.

Algorithms that improve from data without explicit hand-coded rules.

Foundation of modern AI platforms.

Share it with your review team.

Decomposing apps into independently deployable services communicating over APIs.

Confirm it with an NTS engineer.

Multiplexer Rank DIMM technology increasing memory bandwidth for high-core servers and AI hosts.

Ask NTS if you need a build.

Telco edge compute colocated with the radio network for ultra-low-delay apps.

Map it to a product page next.

With more than one public cloud provider to reduce lock-in and match regional or ability needs.

Keep this term handy for RFQs.

Links and policy over multiple CSPs and on-prem sites as one logical network.

Use it in design reviews.

Designs that scale by adding servers not only scaling up a single chassis.

Read the full article for more.

Techniques for machines to understand and generate human language.

Key for LLM apps.

Use it in design reviews.

Admitting devices to networks only after identity and posture checks.

Zero Trust building block.

Read the full article for more.

File services over Ethernet for shared home directories, media, and app data.

Map it to a product page next.

Layout, addressing, and toughness planning for campus and data-center fabrics supporting AI east-west loads.

Read the full article for more.

Firewalls, network split, IDS/IPS, and encryption protecting traffic and assets.

Map it to a product page next.

Overlay networks and virtual switches decoupling logical networks from physical ports.

Read the full article for more.

Switches, routers, NICs, optics, and cables that form the physical network plant.

Use it in design reviews.

Layered computational model inspired by biological neurons.

Trained on GPUs for vision, language, and more.

Read the full article for more.

Memory architecture where local node RAM is faster than remote.

Critical for BIOS and OS tuning on multi-socket servers.

Map it to a product page next.

NVIDIA framework and model tooling for building LLM apps.

NTS validates GPU hosts for NeMo-class workflows.

Map it to a product page next.

High-speed storage protocol over PCIe delivering low-delay flash I/O for databases and AI checkpoints.

Note it in your BOM comments.

Systems operated in gov or business sites not public cloud regions.

Note it in your BOM comments.

Installing, cabling, and accepting systems at the customer site after NTS factory staging and imaging.

Keep this term handy for RFQs.

Open hardware designs for efficient, interchangeable data-center equipment.

Ask NTS if you need a build.

Interoperable specifications that reduce lock-in over NTS BOMs.

Map it to a product page next.

Disaggregated RAN interfaces enabling multi-vendor radios and software on standard servers.

Confirm it with an NTS engineer.

Open-source private-cloud control plane for compute, storage, and networking APIs.

Note it in your BOM comments.

Fiber and optics carrying high-bandwidth links between racks, halls, and campuses.

Use it in design reviews.

Fifth-generation PCI Express doubling bandwidth vs Gen4.

Required for modern GPUs and NVMe.

Keep this term handy for RFQs.

Solid-state drives attached by PCIe/NVMe for maximum bandwidth inside servers.

Keep this term handy for RFQs.

Useful work delivered by each CPU core.

Guides licensing and right-sizing decisions.

Read the full article for more.

Efficiency metric central to dense GPU rooms and sustainability goals.

Read the full article for more.

AI controlling robots and machines in the physical world.

Needs edge model serving and real-time networking.

Ask NTS if you need a build.

Managed runtime and middleware so developers roll out apps without owning OS fleets.

Read the full article for more.

Models that forecast future states.

Demand, failure, risk.

Share it with your review team.

Statistical and ML methods used to anticipate outcomes for operations and planning.

Read the full article for more.

Business-owned 5G networks for campuses and industrial sites with controlled spectrum and SLAs.

Note it in your BOM comments.

Cloud operating model on dedicated systems for a single organization.

Share it with your review team.

Shared cloud regions operated by CSPs and consumed over the internet.

Read the full article for more.

Power Usage Effectiveness.

Site overhead versus IT load.

Ask NTS if you need a build.

Math-heavy trading and risk jobs often accelerated on GPUs and low-delay fabrics.

Share it with your review team.

Emerging compute with quantum states.

Today mostly hybrid classical+quantum research adjacent to HPC centers.

Note it in your BOM comments.

Coolant manifolds and hoses serving an entire rack of cold-plated nodes from a CDU.

Note it in your BOM comments.

Backups, immutability, network split, and tested recovery to withstand encryption malware.

Confirm it with an NTS engineer.

Rendering technique simulating light paths.

GPU intensive for design, media, and simulation viz.

Share it with your review team.

Rack rear-door coils that remove heat into site water loops without full immersion.

Note it in your BOM comments.

Interactive GUI sessions to remote hosts for admin and end-user access.

Keep this term handy for RFQs.

Remote and in-band tools to operate servers without physical presence.

Ask NTS if you need a build.

GPU/CPU clusters dedicated to batch rendering for media and design pipelines.

Map it to a product page next.

Grounding LLM answers in retrieved documents from a vector/search store to improve factuality.

Map it to a product page next.

Software bots automating repetitive UI/tasks.

Increasingly combined with AI document understanding.

Note it in your BOM comments.

Growing capacity/speed by adding nodes not replacing a monolithic array.

Read the full article for more.

Backup and nearline tiers separate from primary live volumes.

Read the full article for more.

Synthetic sensor feeds for testing autonomy and digital twins before field builds.

Read the full article for more.

Compute host running OS and jobs.

Rack, tower, or blade form factors built and staged by NTS.

Use it in design reviews.

Set up, patching, and setups managed by code and control tools.

Read the full article for more.

Lifecycle operations: inventory, firmware, checks, and remote control of server fleets.

Read the full article for more.

Software-defined shared storage built from server-local disks presented as networked volumes.

Share it with your review team.

Hardening, patching, secure boot, and access controls on server platforms.

Note it in your BOM comments.

Running multiple VMs on a hypervisor for separation and denser use.

Keep this term handy for RFQs.

Event-driven functions where the provider manages servers.

Still ultimately runs on physical hosts somewhere.

Confirm it with an NTS engineer.

Compact boards with CPU/SoC used in appliances, labs, and IoT gateways.

Keep this term handy for RFQs.

Urban systems with sensors and analytics for traffic, utilities, and public safety.

Edge + core compute.

Share it with your review team.

Network adapters with programmable cores offloading crypto, virtual switching, and storage protocols.

Share it with your review team.

Storage/memory services abstracted by software pools spanning nodes and media types.

Read the full article for more.

Central control planes programming network behavior by APIs not box-by-box CLI alone.

Read the full article for more.

How media, protocols, and redundancy are arranged to meet capacity, speed, and durability goals.

Confirm it with an NTS engineer.

Artificially generated datasets used to train or test AI when real data is scarce or private.

Use it in design reviews.

Link CPU, GPU, and I/O on one package common in edge and embedded platforms.

Use it in design reviews.

Engineering airflow, liquid, and sensors so parts stay in safe temperatures under load.

Map it to a product page next.

Placing hot data on fast media and cold data on cheaper tiers automatically or by policy.

Note it in your BOM comments.

Pedestal form-factor server for offices, labs, and edge closets when racks are unavailable.

Keep this term handy for RFQs.

NVIDIA open model serving serving software for multi-model GPU/CPU builds with metrics and batching.

Ask NTS if you need a build.

Design goal for trading, 5G, and control systems measured in microseconds to low milliseconds.

Map it to a product page next.

Hosted desktops delivered to thin clients.

GPU pools support CAD and visualization users.

Read the full article for more.

A VM instance with virtual CPU, memory, and disks.

Or a marketed cloud instance.

Read the full article for more.

Speech-to-text and speaker ID pipelines often accelerated on GPUs at the edge or core.

Confirm it with an NTS engineer.

Overlay encapsulation stretching L2 networks over L3 fabrics in modern data centers.

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Wide Area Network linking sites over metro or long-haul circuits.

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Modernizing how teams work with secure collaboration, VDI, and AI assistants on governed systems.

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A defined apps or job pattern with resource, delay, and compliance characteristics.

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Continuous login and least privilege over users, devices, and jobs.

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