Ollama vs vLLM vs llama.cpp: Which Inference Engine to Use?

You can download an open-weights model in seconds. However, running it is where most developers stall. Three engines dominate the local and self-hosted inference landscape: Ollama, vLLM, and llama.cpp. They sound interchangeable, but they are built for completely different optimization targets.

In this video, we go under the hood of all three inference architectures, explaining the hidden relationship between them—including why Ollama isn't a separate engine, but a friendly abstraction running on top of llama.cpp.

We break down the system lineages of each: how vLLM’s PagedAttention resolves memory fragmentation to boost concurrent server throughput, how Georgi Gerganov's llama.cpp pioneered GGUF quantization to run 70B parameters on consumer CPUs, and when you should graduate from local Ollama environments to dedicated vLLM server stacks.

📌 Timestamps:
0:00 - Introduction: The Core Inference Challenge
0:19 - The Hidden Relationship: Ollama runs on llama.cpp
0:58 - Part 1: Ollama (The Easy Button for Local Developers)
1:44 - Part 2: vLLM (Enterprise Scale and Sky Computing Lab)
2:03 - The KV Cache Memory Bottleneck
3:04 - How PagedAttention Resolves Memory Fragmentation
3:39 - Continuous Batching & Speculative Decoding Performance
4:16 - Part 3: llama.cpp (The C++ Foundation and Bare Metal)
4:46 - The Magic of GGUF Quantization & K-Quants
5:32 - Exposing llama-server (OpenAI API Compatibility)
5:48 - Hardware Requirements: Laptops vs. Enterprise A100 GPUs
6:07 - System Lineages: C++ Portability vs. PyTorch Custom CUDA
6:44 - Decision Framework: When to Use Ollama, vLLM, or llama.cpp
7:33 - The Hacker News Debate: Abstraction vs. Raw Control
8:30 - Global Adoption & Summary (Easy vs. Fast vs. Foundation)
9:29 - Outro (Cloud Codes)

🔗 Resources & References:
- Sky Computing Lab (UC Berkeley) - "vLLM: Easy, Fast, and Cheap LLM Serving with PagedAttention"
- Georgi Gerganov - llama.cpp GitHub Repository

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Видео Ollama vs vLLM vs llama.cpp: Which Inference Engine to Use? канала Cloud Codes