---
id: "/infrastructure-chips-efficiency/intermediate/page/3/"
title: "Infrastructure, chips & efficiency for intermediate learners · page 3"
url: "https://skillissue.dev/infrastructure-chips-efficiency/intermediate/page/3/"
---

# Infrastructure, chips & efficiency for intermediate learners

[Beginner](/infrastructure-chips-efficiency/beginner/index.md) [Intermediate](/infrastructure-chips-efficiency/intermediate/index.md) [Advanced](/infrastructure-chips-efficiency/advanced/index.md) [Expert](/infrastructure-chips-efficiency/expert/index.md)

77 resources · page 3 of 3

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### [vLLM documentation](/model-training/training-infrastructure/inference-serving-quantization/index.md)

by [vLLM project](https://vllm.ai/)

vLLM documentation: open-source engine for high-throughput LLM inference and serving.

Intermediate–Advanced learning_resource docs US en 

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### [LM Studio blog](/model-training/training-infrastructure/lm-studio-blog/index.md)

by [LM Studio](https://lmstudio.ai/)

LM Studio blog with release notes and technical posts on running LLMs locally.

Intermediate learning_resource blog US en 

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### [Modal blog](/model-training/training-infrastructure/modal-blog/index.md)

by [Modal](https://modal.com/)

Modal blog on serverless GPU computing, infrastructure engineering and running AI workloads.

Intermediate learning_resource blog US en 

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### [Ollama blog](/model-training/training-infrastructure/ollama-blog/index.md)

by [Ollama](https://ollama.com/)

Ollama blog with release notes, supported model announcements and guides for running models locally.

Intermediate learning_resource blog US en 

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### [OpenRouter docs: Prompt Caching](/model-training/training-infrastructure/openrouter-prompt-caching/index.md)

by [OpenRouter](https://openrouter.ai/)

OpenRouter guide to prompt caching across model providers, with cost implications.

Intermediate learning_resource docs US en 

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### [PyTorch FSDP tutorial](/model-training/training-infrastructure/pytorch-fsdp-tutorial/index.md)

by [PyTorch Foundation](https://pytorch.org/)

PyTorch tutorial on Fully Sharded Data Parallel (FSDP2) for training large models across GPUs.

Intermediate–Advanced learning_resource docs US en 

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### [Qwen 中文文档](/model-training/training-infrastructure/qwen/index.md)

by [Qwen (Alibaba)](https://qwen.ai/)

Qwen documentation in Chinese: usage, deployment and fine-tuning of Qwen language and multimodal models.

Intermediate learning_resource docs China zh 

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### [SGLang documentation](/model-training/training-infrastructure/sglang/index.md)

by [SGLang project (LMSYS)](https://lmsys.org/)

SGLang documentation: serving framework for large language and multimodal models.

Intermediate–Advanced learning_resource docs US en 

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### [Together AI blog](/model-training/training-infrastructure/together-ai-blog/index.md)

by [Together AI](https://together.ai/)

Together AI blog with product launches, research and technical guides on inference, fine-tuning and GPU clusters.

Intermediate learning_resource blog US en 

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### [Transformers documentation](/model-training/training-infrastructure/transformers-documentation/index.md)

by [Hugging Face](https://huggingface.co/)

Hugging Face Transformers documentation: reference for model architectures, loading, training and generation.

Intermediate learning_resource docs US; France; international en 

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### [Triton Puzzles](/model-training/training-infrastructure/triton-puzzles/index.md)

by [GPU MODE](https://github.com/gpu-mode)

Triton Puzzles GitHub repo: interactive exercises for learning to write GPU kernels in Triton.

Intermediate learning_resource course US en 

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### [Triton tutorials](/model-training/training-infrastructure/triton-tutorials/index.md)

by [OpenAI (Triton)](https://triton-lang.org/)

Triton tutorials: ordered examples from vector addition to fused softmax, matmul and fused attention GPU kernels.

Intermediate–Advanced learning_resource docs US en 

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### [Unsloth blog](/model-training/training-infrastructure/unsloth-blog/index.md)

by [Unsloth AI](https://unsloth.ai/)

Unsloth blog with guides and release notes for fast, memory-efficient LLM fine-tuning.

Intermediate learning_resource blog US en 

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