https://terms-en.ai-term-hub.com/en/tags/cloud/Recent content in Cloud on English AI Terms DictionaryHugoen-usSat, 18 Jul 2026 11:44:44 +0000https://terms-en.ai-term-hub.com/en/terms/google_colab/Sat, 18 Jul 2026 10:00:02 +0000https://terms-en.ai-term-hub.com/en/terms/google_colab/<h2 id="definition">Definition</h2> <p>Google Colaboratory, commonly known as Colab, is a hosted Jupyter notebook service that requires no setup and provides free access to computing resources, including Graphics Processing Units (GPUs) and Tensor Processing Units (TPUs). It is widely used for machine learning education, data analysis, and prototyping deep learning models because it eliminates the need for local hardware configuration. Users can save their work directly to Google Drive and share notebooks easily with collaborators.</p>https://terms-en.ai-term-hub.com/en/terms/ai_infrastructure/Sat, 18 Jul 2026 09:44:10 +0000https://terms-en.ai-term-hub.com/en/terms/ai_infrastructure/<h2 id="definition">Definition</h2> <p>AI infrastructure encompasses the foundational technology stack necessary for artificial intelligence operations. This includes high-performance computing hardware like GPUs and TPUs, cloud storage solutions, data pipelines, and orchestration tools such as Kubernetes. It also involves the software frameworks and libraries that facilitate model development and deployment. Robust infrastructure ensures scalability, reliability, and efficiency, enabling organizations to handle massive datasets and complex computational workloads required for modern AI applications.</p> <h3 id="summary">Summary</h3> <p>The hardware, software, and network resources required to develop, train, and deploy artificial intelligence models at scale.</p>