computing power
computing power describes the ability of the computing system to perform computing tasks. In AI scenarios, it is necessary to combine task, accuracy, hardware and software stack understanding. What is
Read article ↗TOKEN WIKI / Industry Knowledge Base
Understanding word elements starts with a concept.
has 52 introductory entries, starting from word units, computing power going overseas, and word units going overseas, covering models, reasoning, API billing and global delivery.
All termsword elements and billingcomputing power basismodel and inferenceinference performanceoverseas and architectureSearch and DiscoveryAI development toolsintelligent body and application
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GPU / graphics processor
GPU is a processor suitable for large-scale parallel computing and is commonly used for deep learning training, inference and scientific computing.
Read article ↗Video Memory/VRAM
video memory is a dedicated memory used by the GPU to store model weights, intermediate states and other calculation data.
Read article ↗FLOPS / floating point computing power
FLOPS represents the number of floating point operations per second, which is often used to describe computing performance under specific precision and conditions.
Read article ↗GPU intelligent computing cluster The
GPU intelligent computing cluster is composed of computing nodes, interconnection networks, storage and scheduling components, and is used to carry large-scale AI workloads.
Read article ↗bandwidth and interconnection
bandwidth represents the amount of data that can be transmitted per unit time; model services involve bandwidth at different levels such as video memory, device interconnection, and network.
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