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Speculative Decoding: 2-4x Faster Local LLM Inference
If you run language models on your own hardware, you already know the bottleneck: tokens come out one at a...
70B Models on a Mac Mini: A $1,600 Local LLM Setup
If you want a private, always-on machine that can run a 70-billion-parameter model without a noisy GPU rig or a...
Llama.cpp: Running Quantized LLMs on CPU-Only Machines
If you want to run a capable language model on a laptop or a cheap cloud box with no GPU,...
vLLM: Fast, Self-Hosted LLM Serving With GPUs
If you have outgrown hosted APIs and want to run open models like Llama or Qwen on your own hardware,...
LM Studio: Run and Test Local LLMs With a GUI
If you want to run open models on your own machine but the command line feels like friction, LM Studio...
Ollama: Running Local LLMs on Your Laptop in 5 Minutes
If you want to experiment with Ollama local LLMs without sending a single token to a cloud provider, this guide...
A2A Protocol vs MCP: Which Agent Standard to Adopt
If you are building AI agents in production, you have probably hit the question of which open protocol to standardize...
MCP Protocol Explained: Connecting LLMs to External Tools
If you’ve ever wired the same database connector into three different LLM apps, you already understand the problem the MCP...
Google ADK for TypeScript: Code-First Agents With CI/CD
If you have been wiring up TypeScript agents with bespoke prompt files, ad-hoc tool schemas, and a YAML deploy script, Google...