Glossary

Learn the language of the signal.

Search technical, financial, and governance terms used across Boreal Signal coverage.

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15
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5
Featured terms
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Use a filter when you want to move straight from a story term to the right concept.

All terms15Compute2AI systems3Hardware4Finance4Governance2
Featured terms
Hardware2 Aliases

ASIC

A chip designed for one narrow task instead of general-purpose computing.

Definition
ASIC stands for application-specific integrated circuit. It is built to do one job extremely well, which usually means better performance, lower power use, and tighter cost control than a general-purpose chip.
Why it matters
ASICs matter when a company needs predictable throughput and economics at scale, especially in AI infrastructure, telecom, and industrial systems.
Aliases
application-specific integrated circuitcustom chip
Related signals
AI infrastructureSemiconductor strategyCompute efficiency
Compute1 Aliases

IPU

A specialized processor that handles machine-intelligence workloads efficiently.

Definition
IPU refers to an intelligence processing unit. It is a design label for processors that focus on machine-learning workloads rather than broad consumer computing.
Why it matters
Readers should treat IPU coverage as a signal that the compute stack is being reshaped around inference, orchestration, and lower-latency AI delivery.
Aliases
intelligence processing unit
Related signals
InferenceAI accelerationModel deployment
Compute1 Aliases

GPU

The general workhorse chip for training and running modern AI systems.

Definition
GPU stands for graphics processing unit. It was originally built for graphics, but its ability to process many operations in parallel makes it a core part of AI training and inference.
Why it matters
GPU availability often sets the pace for AI deployment, pricing, and product roadmap decisions.
Aliases
graphics processing unit
Related signals
AI infrastructureInferenceCloud compute
Hardware1 Aliases

QPU

The quantum equivalent of a processing unit used to run quantum workloads.

Definition
QPU stands for quantum processing unit. It is the hardware layer that runs quantum algorithms and experiments rather than classical software workloads.
Why it matters
QPU coverage usually signals that a company is moving from research language into hardware delivery, platform strategy, or commercial pilots.
Aliases
quantum processing unit
Related signals
Quantum computingHardware roadmapFault tolerance
Hardware1 Aliases

Qubit

The basic unit of quantum information.

Definition
A qubit is the quantum equivalent of a classical bit. Unlike a bit, which is either 0 or 1, a qubit can represent a range of states until it is measured.
Why it matters
Qubits determine how far a quantum system has moved beyond theory and into hardware that can support real workloads.
Aliases
quantum bit
Related signals
Quantum computingQPUFault tolerance
AI systems2 Aliases

Quantum annealing

A quantum approach for solving certain optimization problems.

Definition
Quantum annealing is a method that uses quantum effects to search for low-energy states, which can help solve some optimization problems faster or more elegantly than classical methods.
Why it matters
When a story mentions quantum annealing, the practical question is whether the use case is a real optimization win or just a speculative demo.
Aliases
annealingoptimization problem
Related signals
Quantum computingOptimizationHardware pilots
AI systems2 Aliases

Inference

The stage where a trained model is used to produce answers, predictions, or actions.

Definition
Inference is what happens after a model is trained. It is the process of using the model in production to classify, generate, rank, or recommend outputs.
Why it matters
Inference economics often decide whether an AI product is scalable, profitable, or stuck in pilot mode.
Aliases
model servingproduction AI
Related signals
Model deploymentAI pricingLatency
AI systems1 Aliases

LLM

A large language model built to understand and generate text.

Definition
LLM stands for large language model. It is a model trained on large text datasets so it can summarize, draft, translate, answer, and transform language in useful ways.
Why it matters
LLM coverage usually signals that product, data, and governance choices are about to matter more than the demo itself.
Aliases
large language model
Related signals
AI productsInferenceGovernance
Governance2 Aliases

Sovereign AI

AI infrastructure that keeps strategic control, data, and deployment choices close to home.

Definition
Sovereign AI describes systems built or operated so that an organization or country retains control over compute, data, model hosting, and operational policy.
Why it matters
It is one of the clearest signals for procurement, policy, and infrastructure spending in Canadian tech.
Aliases
sovereign infrastructuredomestic AI control
Related signals
AI infrastructureProcurementData residency
Governance2 Aliases

Data residency

Where data is stored and which legal rules apply to it.

Definition
Data residency refers to the physical and legal location of data storage and processing. It becomes important when customers, regulators, or governments want tighter control over where information can live.
Why it matters
For founders and operators, data residency can influence vendor choice, contract structure, and whether a product can win public-sector deals.
Aliases
data locationdata sovereignty
Related signals
Sovereign AIProcurementCompliance
Hardware1 Aliases

OTFS

A modulation scheme built for difficult wireless channels.

Definition
OTFS stands for orthogonal time frequency space. It is a modulation approach designed to spread data across time and frequency so wireless links can stay more resilient in fast-moving or noisy environments.
Why it matters
OTFS matters when satellite, mobility, or remote connectivity stories depend on keeping links stable under movement and interference.
Aliases
orthogonal time frequency space
Related signals
Satellite systemsWireless resilienceOrbit communications
Finance3 Aliases

Procurement cycle

The path a buyer follows from evaluation to approval to purchase.

Definition
The procurement cycle is the series of steps a customer uses to evaluate vendors, negotiate terms, obtain approval, and place an order or sign a contract.
Why it matters
If a story depends on procurement, the timing of revenue often matters more than the announcement itself.
Aliases
RFPvendor selectionbuying cycle
Related signals
Public sectorEnterprise salesSovereign AI