数据库分类 · 23 记录
软件
The stack that turns silicon into intelligence: kernels and compilers, training frameworks, inference engines, orchestration and the agent layer.
现场笔记
硬件抢占头条，但软件才是锁定效应的栖身之处。这里有一个平台的历史已经够去投票了，至今仍左右着人们的芯片选择；最新的条目问世不过两年，却已是智能体时代不可或缺的基础。
从这三个开始
CU
CUDA
二十年积累的代码库——科技领域最深的护城河。
VL
vLLM
为全球大量token提供服务的开源推理引擎。
MC
Model Context Protocol (MCP)
智能体时代的通用接口，一年内被全行业采纳。
Compute platforms & kernels
5
CU
CUDA
NVIDIA's programming platform — the deepest moat in the industry.
NC
NCCL
The collective-communications library every distributed training run calls.
RO
ROCm
AMD's open-source answer to CUDA — the gap that narrowed at last.
T(
Triton (OpenAI)
Python-level GPU kernels — the community's crowbar under the CUDA moat.
X/
XLA / OpenXLA
The compiler that makes TPUs programmable — now an open project.
训练框架
5
PY
PyTorch
The framework nearly every modern model is written in.
DE
DeepSpeed
Microsoft's scaling toolkit — ZeRO sharding made huge models trainable.
JAX
Composable function transforms — the framework Gemini is built with.
MC
Megatron-Core
NVIDIA's reference recipe for trillion-parameter training.
TensorFlow
The 2015 giant that industrialized deep learning — now in JAX's shadow.
JAX
Composable function transforms — the framework Gemini is built with.
MC
Megatron-Core
NVIDIA's reference recipe for trillion-parameter training.
TensorFlow
The 2015 giant that industrialized deep learning — now in JAX's shadow.
Inference & serving
6
VL
vLLM
The open-source serving engine that made GPU inference efficient.
OR
ONNX Runtime
The portable format for shipping models across hardware.
OL
Ollama
One command to run an open model locally.
SG
SGLang
The high-performance serving runtime born from RadixAttention research.
TL
TensorRT-LLM & Dynamo
NVIDIA's tuned inference stack — peak tokens from its own silicon.
LL
llama.cpp
The C++ project that put LLMs on laptops — and invented GGUF.
Orchestration & cluster management
3
Kubernetes
The cloud's operating system, retrofitted for GPUs.
RA
Ray
Distributed Python for the whole ML pipeline — Anyscale's engine.
SL
Slurm
The HPC batch scheduler most big training runs still queue through.
Libraries, tooling & the agent layer
4
MC
Model Context Protocol (MCP)
The open standard connecting AI models to tools and data — USB-C for agents.
HF
Hugging Face Transformers
The library that standardized how models are shared and loaded.
L&
LangChain & LangGraph
The scaffolding layer of the agent era.
W&
Weights & Biases
Experiment tracking for the training runs on this site — now CoreWeave-owned.