Compute Unified Device Architecture
The Compute Unified Device Architecture is Nvidia’s parallel-computing platform and software ecosystem for programming its graphics processors.
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Clear filtersThe Compute Unified Device Architecture is Nvidia’s parallel-computing platform and software ecosystem for programming its graphics processors.
Confidential computing protects data while it is being processed by using hardware-backed isolation and cryptographic verification of the execution environment.
Conflict review identifies and evaluates credible disagreements among sources, claims, or measurements before a research conclusion is finalized.
A consumer robot is a robotic device designed for individuals or households rather than specialized industrial operation.
Contact enrichment adds verified attributes and context to an existing person or organization record from permitted data sources.
Content negotiation is an HTTP mechanism through which a client states which representation it prefers and a server selects an appropriate version of the requested resource.
Context as code stores important project intent, architecture, conventions and decisions in versioned files that AI agents and people can reuse.
Context manipulation is the deliberate alteration or exploitation of an AI system's working context to change its decisions or behavior.
Context pruning removes low-value or redundant information from the input supplied to an AI model while preserving evidence needed for the task.
A context-aware AI interface preserves and retrieves relevant user, task, and application state so assistance can continue without repeated setup.
Continuous AI evaluation repeatedly tests deployed AI against new cases, failures, guidance and behavior changes.
Continuous cybersecurity monitoring repeatedly observes systems, identities and exposure for security-relevant changes and suspicious activity.
A continuous latent representation encodes data as learned numeric values in a hidden space where nearby values can express gradual changes in content or quality.
Contrastive learning trains an AI model to place matching examples closer together and nonmatching examples farther apart in its learned representation.
An AI control plane observes AI activity and applies centralized policy without owning the application's primary task logic.
Controlled generalization aims to make an AI model apply learned behavior to new cases in a predictable and bounded way.
An AI copilot is an interactive assistant that supports a person during a task while the person remains in control of each important step.
An AI cost ledger is a durable record of attributed model, tool and compute costs across AI activity.
Counterexample generation searches for a specific case that disproves a rule's claimed coverage or exposes an unintended outcome.
AI creative direction guides generative tools toward a coherent concept, visual language and audience effect.