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Text Generation Inference System Requirements (CPU, RAM, Disk)

Systemanforderungen für Text Generation Inference: CPU, RAM und Speicherplatz.

Text Generation Inference (TGI) is Hugging Face's production-grade serving solution for Large Language Models. Built with Rust and Python, TGI delivers blazing-fast inference with features like tensor parallelism, continuous batching, streaming tokens, and quantization support (bitsandbytes, GPTQ, AWQ). It supports all major open-source LLMs and provides an OpenAI-compatible API endpoint. With 10k+ GitHub stars, TGI is the go-to deployment solution for enterprises and developers running LLMs at scale in production environments. It integrates seamlessly with the Hugging Face ecosystem, allowing one-command deployment of thousands of models from the Hub.

Anforderungen · Text Generation Inference

Min vCPU
2
Min RAM
4,096 MB
Min Disk
10 GB
Empf. vCPU
4
Empf. RAM
16,384 MB
Empf. Disk
20 GB

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