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Artificial Intelligence
Mini-Batch
Mini-Batch is a fundamental concept in artificial intelligence and machine learning.
Definition
Mini-Batch is a critical concept in AI and ML. It enables advanced AI capabilities and is supported by Harch Corp's GPU cloud infrastructure. Our H100/H200 GPU clusters with 400G InfiniBand provide optimal performance for Mini-Batch-based workloads with carbon-aware scheduling at 47 gCO2/kWh.
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Related Terms
Sovereign AI
Sovereign AI is a nation's capability to develop, deploy, and control AI infrastructure within its borders.
Data Sovereignty
Data sovereignty is the principle that data is subject to the laws of the country where it is stored.
Large Language Model (LLM)
An LLM is an AI model trained on massive text data to understand and generate human language.
Foundation Model
A foundation model is a large pre-trained AI model that can be adapted to many downstream tasks.