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Awesome GitHub RepositoriesMulti-GPU Deployment
Deployment strategies for scaling workloads across multiple graphics cards.
Distinguishing note: Focuses on infrastructure scaling for inference.
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Awesome Multi-GPU Deployment GitHub Repositories
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- zai-org/ChatGLM-6B
zai-org/ChatGLM-6B
41,232View on GitHubChatGLM-6B is a generative AI inference engine designed for local execution of transformer-based language models. It provides a comprehensive runtime environment that allows users to load and run pre-trained neural network weights directly on their own hardware, ensuring data privacy and independence from external cloud services. The project distinguishes itself through a hardware-agnostic execution backend that supports deployment across diverse environments, including standard processors, Apple Silicon, and multi-GPU configurations. It incorporates advanced optimization techniques such as w
Scales model execution across multiple graphics cards to accommodate larger model sizes.
Python
