Eleveight AI
Glossary
The vocabulary behind modern AI infrastructure: GPUs, artificial intelligence, and the data centers that run it, explained clearly and grounded in how each works at Eleveight AI.
- Data Center & Facilities AI FactoryA purpose-built infrastructure stack that industrializes AI model development, treating AI creation as a repeatable, scalable manufacturing process.
- GPU Hardware & ComputeAccelerated ComputeThe use of specialized processors, primarily GPUs, to perform computations significantly faster than a general-purpose CPU alone.
- AI & Machine LearningAgentic AIAI systems that pursue goals over multiple steps, planning, using tools, and acting on their environment, rather than producing a single response to a single prompt.
- GPU Hardware & ComputeAI ChipA processor built specifically to accelerate artificial intelligence workloads, optimized for the parallel mathematics of training and inference rather than general-purpose computation.
- GPU Hardware & ComputeAI Compute ClusterA group of GPU servers networked to operate as a single coordinated system, the real unit in which AI models are trained and served at scale.
- Data Center & FacilitiesAI Data CenterA purpose-built facility engineered around the power, cooling, and networking demands of GPU-intensive AI workloads.
- AI & Machine LearningAI Inference InfrastructureThe compute infrastructure that serves a trained AI model in production, handling real user requests at low latency and at scale.
- AI & Machine LearningAI Training InfrastructureThe hardware and networking environment required to train AI models, from fine-tuning pre-trained models to building foundation models from scratch.
- AI & Machine LearningBackpropagationThe algorithm that trains a neural network by propagating its prediction error backward through every layer to adjust each weight.
- Data Center & FacilitiesBare Metal GPUDirect, un-virtualized access to physical GPU hardware, eliminating the performance overhead of hypervisors for maximum throughput.
- Data Center & FacilitiesColocationRenting space, power, and cooling in a shared, professionally operated data center to house your own or a provider's hardware, rather than building a facility from scratch.
- AI & Machine LearningComputer VisionThe field of AI concerned with extracting meaning from images and video, enabling machines to detect, classify, and interpret what they see.
- Data Center & FacilitiesConfidential ComputingA hardware-based security approach that keeps data encrypted and isolated even while it is being processed, protecting it in use, not just at rest or in transit.
- GPU Hardware & ComputeCUDANVIDIA's parallel computing platform and programming model that enables developers to use GPU cores for general-purpose computation.
- Data Center & FacilitiesData Center RackThe standardized steel frame that houses and organizes servers, GPUs, and networking equipment in a data center, stacking them vertically in a fixed-width enclosure measured in rack units (U).
- Networking & InterconnectData Processing Unit (DPU)A data processing unit, a programmable processor that offloads networking, storage, and security tasks from the CPU to keep it free for application work.
- Cloud & Sovereign ComputeData ResidencyThe requirement that data be stored and processed within a specific country's borders, so it remains subject to that country's laws and oversight.
- Cloud & Sovereign ComputeDedicated GPU ServerPhysical GPU hardware reserved exclusively for a single customer, no shared tenancy, maximum performance, complete data isolation.
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