Topic
Llama Cpp
3 episodes
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NVIDIA Brings Simplified Local AI Support To NVIDIA GPUs Carrying 24+ GB VRAM While vLLM & & llama.cpp Optimizations Boost Compute By Up To 1
NVIDIA ships kernel optimizations for local AI inference on RTX and DGX platforms, delivering up to 1.9x performance gains through vLLM and llama.cpp, paired with one-click agent setup (Perplexity Portable Computer, Hermes Agent, OpenClaw) for GPUs with 24+ GB VRAM. The move collapses the friction between local-first and cloud-capable workflows.
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Qwen3 Coder Next: How to Run Locally | Unsloth Documentation
In this episode, we explore Qwen3-Coder-Next, a groundbreaking coding model that enables local execution with high efficiency. We discuss its capabilities, real-world applications, and why it’s a game-changer for developers and tech enthusiasts.
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I switched from LM Studio/Ollama to llama.cpp, and I absolutely love it
I switched from LM Studio/Ollama to llama.cpp, and I absolutely love it Credit: By Dhruv Bhutani Published Nov 2, 2025 Dhruv Bhutani has been writing about consumer technology since 2008, offering deep insights into the personal technology landscape through features and opinion pieces. He writes for XDA-Developers, where he focuses on topics like productivity, networking, self-hosting, and more.