---
id: "/infrastructure-chips-efficiency/intermediate/page/2/"
title: "Infrastructure, chips & efficiency for intermediate learners · page 2"
url: "https://skillissue.dev/infrastructure-chips-efficiency/intermediate/page/2/"
---

# 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 2 of 3

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### [NVIDIA Dynamo](/model-training/training-infrastructure/nvidia-dynamo/index.md)

by [Dynamo](https://developer.nvidia.com/dynamo)

ai-dynamo Dynamo GitHub repo: NVIDIA's datacenter-scale distributed, disaggregated inference serving framework.

entity repo US en 

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### [NVIDIA NeMo Speech](/model-training/training-infrastructure/nvidia-nemo-speech/index.md)

by [NVIDIA-NeMo](https://nvidia.com/)

NVIDIA NeMo Speech GitHub repo: framework for speech recognition and TTS model training and inference.

entity repo US en 

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### [NVIDIA/TensorRT-LLM](/model-training/training-infrastructure/nvidia-tensorrt-llm/index.md)

by [NVIDIA Corporation](https://nvidia.com)

NVIDIA TensorRT-LLM GitHub repo: Python API and kernels for optimised LLM inference on NVIDIA GPUs.

entity repo US en 

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### [NVIDIA VerilogEval](/model-training/training-infrastructure/nvidia-verilogeval/index.md)

by [NVIDIA Research Projects](https://research.nvidia.com/)

NVIDIA VerilogEval GitHub repo: benchmark for evaluating LLMs on generating Verilog hardware-description code.

entity benchmark US en 

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

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

Ollama GitHub repo: runtime for running open LLMs locally, with API and cloud options.

entity repo US en 

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### [OLMo training and inference](/model-training/training-infrastructure/olmo-training-and-inference/index.md)

by [Ai2](https://allenai.org/)

Ai2 OLMo GitHub repo: modelling, training, evaluation and inference code for OLMo open language models.

entity repo US en 

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### [OpenROAD](/model-training/training-infrastructure/openroad/index.md)

by [The OpenROAD Project](https://theopenroadproject.org/)

OpenROAD GitHub repo: open RTL-to-GDS chip design flow, also used in ML-for-EDA research.

entity repo US en 

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### [SageAttention](/model-training/training-infrastructure/sageattention/index.md)

by [TSAIL group](https://ml.cs.tsinghua.edu.cn)

Tsinghua SageAttention GitHub repo: quantised low-bit attention kernels for faster inference.

entity repo China en 

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### [onediff](/model-training/training-infrastructure/siliconflow-onediff/index.md)

by [SiliconFlow](https://siliconflow.com)

SiliconFlow onediff GitHub repo: acceleration library for diffusion model inference.

entity repo China en|zh 

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### [Tenstorrent](/model-training/training-infrastructure/tenstorrent/index.md)

by [Tenstorrent](https://tenstorrent.com/)

Tenstorrent: company building RISC-V based AI accelerators and computers.

entity lab US en 

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### [ThunderKittens](/model-training/training-infrastructure/thunderkittens/index.md)

by [HazyResearch](https://cs.stanford.edu/people/chrismre/)

HazyResearch ThunderKittens GitHub repo: tile primitives framework for writing fast GPU kernels.

entity repo US en 

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### [TileKernels](/model-training/training-infrastructure/tilekernels/index.md)

by [DeepSeek](https://www.deepseek.com/)

DeepSeek TileKernels GitHub repo: library of GPU kernels written in TileLang.

entity repo China en 

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### [Together cookbook](/model-training/training-infrastructure/together-cookbook/index.md)

by [Together](https://github.com/togethercomputer)

Together cookbook GitHub repo: notebooks with recipes for building with Together AI models.

entity repo US en 

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### [torchtitan](/model-training/training-infrastructure/torchtitan/index.md)

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

PyTorch torchtitan GitHub repo: PyTorch-native platform for large-scale generative model pretraining.

entity repo US en 

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### [fairseq: NLLB branch](/model-training/training-infrastructure/translation-localization/index.md)

by [Meta Research](https://opensource.fb.com)

Meta fairseq nllb branch on GitHub: code for the No Language Left Behind translation models.

entity repo US en 

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

by [ByteDance-Seed](https://seed.bytedance.com/)

ByteDance Seed Triton-distributed GitHub repo: distributed compiler and parallel kernels overlapping compute and communication.

entity repo China en 

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### [TurboDiffusion (thu-ml)](/model-training/training-infrastructure/turbodiffusion-thu-ml/index.md)

by [TSAIL group](https://ml.cs.tsinghua.edu.cn)

Tsinghua TurboDiffusion GitHub repo: acceleration framework for video diffusion models.

entity repo China en 

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### [GPU Puzzles (Sasha Rush)](/model-training/training-infrastructure/gpu-puzzles-sasha-rush/index.md)

by [Sasha Rush](https://rush-nlp.com/)

Sasha Rush's GPU Puzzles GitHub repo: interactive notebook exercises for learning CUDA programming.

Beginner–Intermediate learning_resource course US en 

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### [GPU Glossary (Modal)](/model-training/training-infrastructure/modal-gpu-glossary/index.md)

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

Modal GPU Glossary: reference explaining GPU hardware and software terms from CUDA cores to memory hierarchy.

Beginner–Expert learning_resource guide US en 

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### [Alibaba Cloud Model Studio: Create a knowledge base](/model-training/training-infrastructure/alibaba-cloud-bailian-knowledge-base-rag/index.md)

by [Alibaba Cloud](https://www.alibabacloud.com/)

Alibaba Cloud Model Studio documentation on creating knowledge bases for RAG, with parsing and chunking settings (in Chinese).

Intermediate learning_resource docs China zh 

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### [AMD ROCm](/model-training/training-infrastructure/amd-rocm/index.md)

by [AMD](https://amd.com/)

AMD ROCm developer hub with documentation, training and tools for GPU-accelerated computing on AMD hardware.

Intermediate–Advanced learning_resource docs US en 

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### [Cerebras blog](/model-training/training-infrastructure/cerebras-blog/index.md)

by [Cerebras](https://www.cerebras.ai/)

Cerebras blog on wafer-scale chips, fast inference, model performance and developer tooling.

Intermediate learning_resource blog US en 

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### [Cloudflare Workers AI](/model-training/training-infrastructure/cloudflare-workers-ai/index.md)

by [Cloudflare](https://developers.cloudflare.com/)

Cloudflare Workers AI documentation for running ML models on serverless GPUs across Cloudflare's network.

Intermediate learning_resource docs US en 

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### [Fireworks blog](/model-training/training-infrastructure/fireworks-blog/index.md)

by [Fireworks AI](https://fireworks.ai/)

Fireworks AI blog on inference performance, fine-tuning and model releases on its serving platform.

Intermediate learning_resource blog US en 

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### [google-ai-edge/gallery: skills](/model-training/training-infrastructure/google-ai-edge-gallery-skills/index.md)

by [google-ai-edge](https://github.com/google-ai-edge)

Google AI Edge Gallery skills folder on GitHub: skills for on-device ML and generative AI apps.

Intermediate learning_resource skill-library US en 

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### [Google TPU docs](/model-training/training-infrastructure/google-tpu-docs/index.md)

by [Google Cloud](https://cloud.google.com/)

Google Cloud TPU documentation for running machine-learning training and inference on Tensor Processing Units.

Intermediate–Advanced learning_resource docs US en 

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### [GPU MODE](/model-training/training-infrastructure/gpu-mode/index.md)

by [GPU MODE community](https://www.gpumode.com/)

GPU MODE site: community for learning GPU programming through lectures, hackathons, kernel competitions and working groups.

Intermediate–Advanced learning_resource course Global en 

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### [GPU MODE lectures](/model-training/training-infrastructure/gpu-mode-lectures/index.md)

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

GPU MODE lectures GitHub repo: slides and code from community lectures on GPU programming and CUDA kernels.

Intermediate–Advanced learning_resource course Global en 

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### [GPU MODE resource stream](/model-training/training-infrastructure/gpu-mode-resource-stream/index.md)

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

GPU MODE resource-stream GitHub repo: curated links to CUDA and GPU programming books, papers, posts and videos.

Intermediate learning_resource guide Global en 

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### [Groq blog](/model-training/training-infrastructure/groq-blog/index.md)

by [Groq](https://groq.com/)

Groq blog with posts on its LPU inference hardware, cloud API and supported models.

Intermediate learning_resource blog US en 

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### [Groq documentation](/model-training/training-infrastructure/groq-documentation/index.md)

by [Groq](https://groq.com/)

Groq documentation: OpenAI-compatible API, available models and rate limits for its LPU inference service.

Intermediate learning_resource docs US en 

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### [Making Deep Learning Go Brrrr From First Principles (Horace He)](/model-training/training-infrastructure/horace-he-making-dl-go-brrrr/index.md)

by [Horace He](https://horace.io/)

Horace He's Making Deep Learning Go Brrrr: first-principles guide to whether models are compute-, memory- or overhead-bound.

Intermediate learning_resource guide US en 

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