Infrastructure Chips Efficiency
122 resources · page 1 of 4
Apple machine learning research
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Apple Machine Learning Research publications: papers on speech, language, vision, privacy and health.
Apple MLX
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Apple MLX GitHub repo: array framework for machine learning on Apple silicon.
OpenInference
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Arize OpenInference GitHub repo: OpenTelemetry instrumentation and semantic conventions for LLM tracing.
Truss
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Baseten Truss GitHub repo: packaging and serving ML models in production.
checkpoint-engine
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Moonshot checkpoint-engine GitHub repo: middleware for updating model weights in running LLM inference engines.
Colossal-AI
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HPC-AI Tech Colossal-AI GitHub repo: parallel training system for large AI models.
DeepGEMM
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DeepSeek DeepGEMM GitHub repo: GPU matrix multiplication kernel library including FP8 GEMMs.
DeepGEMM-Ascend
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DeepSeek DeepGEMM-Ascend GitHub repo: matrix multiplication kernels for Huawei Ascend hardware.
DeepSeek Open Infra Index
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DeepSeek Open Infra Index GitHub repo: index of released infrastructure tools such as FlashMLA, DeepEP, DeepGEMM and 3FS.
DeepSpeed
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DeepSpeed GitHub repo: deep learning optimisation library for large-scale training and inference, origin of ZeRO.
py-why/dowhy
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PyWhy DoWhy GitHub repo: Python library for causal inference with explicit assumptions and refutation tests.
Etched
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Etched: company building transformer-specific AI inference chips, racks and software.
FastDeploy
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PaddlePaddle FastDeploy GitHub repo: inference and deployment toolkit for LLMs and VLMs.
Fireworks cookbook
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Fireworks cookbook GitHub repo: recipes for fine-tuning, function calling and building with Fireworks AI.
FlashMLA
Creator not supplied; see original source.
DeepSeek FlashMLA GitHub repo: multi-head latent attention decoding kernels for Hopper GPUs.
FlashQLA
Creator not supplied; see original source.
QwenLM FlashQLA GitHub repo: linear attention kernel library built on TileLang.
Huawei Ascend
Creator not supplied; see original source.
Huawei Ascend community site: Ascend AI processors, CANN software stack, frameworks and developer tools.
KTransformers
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KTransformers GitHub repo: framework for heterogeneous CPU-GPU inference of large LLMs.
Kunlunxin (昆仑芯)
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Kunlunxin site: Baidu-affiliated maker of AI accelerator chips (in Chinese).
Liger Kernel
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LinkedIn Liger Kernel GitHub repo: Triton kernels for LLM training.
Liquid AI research
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Liquid AI research page: papers and technical reports on Liquid Foundation Models.
llm.c
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llm.c GitHub repo (Andrej Karpathy): LLM training in plain C and CUDA.
LMDeploy
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InternLM LMDeploy GitHub repo: toolkit for compressing, deploying and serving LLMs.
llama.cpp
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llama.cpp GitHub repo: LLM inference in C/C++ for local and on-device hardware.
Megatron-LM
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NVIDIA Megatron-LM GitHub repo: research code for training transformer models at scale with tensor and pipeline parallelism.
MiniCPM
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OpenBMB MiniCPM GitHub repo: on-device small language models with deployment resources.
MiniCPM-V
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OpenBMB MiniCPM-V GitHub repo: on-device multimodal models MiniCPM-V and MiniCPM-o for vision and speech.
MLX / mlx-lm
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Apple mlx-lm GitHub repo: Python package for running and fine-tuning LLMs with MLX.
MobileCLIP research implementation
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Apple ml-mobileclip GitHub repo: official implementation of MobileCLIP efficient image-text models.
Mooncake
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Mooncake GitHub repo: KV-cache-centric disaggregated serving platform used for Kimi.
Motif Technologies
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Motif Technologies GitHub organisation: training and serving code for its Korean models.
Multiverse Computing model registry
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Multiverse Computing Hugging Face organisation: compressed model cards such as HyperNova.