…What new features/technology are you working on? Our near-term development is focused on deeper optimization for agentic analytics workloads as enterprises increasingly need to run LLM queries against large, structured…
…First is connecting different apps and systems, second is building LLM apps and RAG workflows, and third is running models locally for privacy. n8n fits into the first layer. It’s built…
The open-source Lemonade local AI server that enables using Ryzen AI NPUs on Linux for LLM usage as well as AMD Radeon GPU support and common x86_64 CPU support (in…
…favorites 3 Best graphics cards in 2026: These are the GPUs worth spending money in right now 4 Best gaming laptop 2026: I've tested the best laptops for gaming of this…
…GPU and 1,000 tokens per second per user on gpt-oss with the latest NVIDIA TensorRT-LLM stack. As AI shifts from one-shot answers to complex reasoning, the demand for…
…LLMs have a reputation for needing serious hardware, and I assumed the experience wouldn’t feel as smooth as the cloud-based tools I was used to. My writing workflow depends heavily…
…GPU and 1,000 tokens per second per user on gpt-oss with the latest NVIDIA TensorRT-LLM stack. As AI shifts from one-shot answers to complex reasoning, the demand for…
I'm pretty new to homelabbing and this is my first mini rack! Started with the Beelink ME Mini and then just kinda grew from there (it's always the way hey haha). It idles at 70 watts (not too shabby for how much is goin…
As the title states, my build is indeed able to run a 1 trillion parameter model (in this case Kimi K2.5) locally at ~4 tokens/second. I thought r/LocalLLaMA would be interested in the build due to that stat line, and al…
Just wanted to share my config in hopes of helping other 12GB GPU owners achieve what I see as very respectable token generation speeds with modest VRAM. Using the latest llama.cpp build + MTP PR, I got over 80 tok/sec w…
2026-05-07 edit: I have updated the hardware based recommendations with more focus on quality. I do not recommend q4_0 KV cache anymore beyond 64k context. After multiple rounds of testing with the different size quants,…
Been in the weeds shipping an OSS side project for the past few weeks (social media publishing API). Real launch post is coming, this isn't that. Along the way I kept a list of services that actually have usable free tie…
…GPU and 1,000 tokens per second per user on gpt-oss with the latest NVIDIA TensorRT-LLM stack. As AI shifts from one-shot answers to complex reasoning, the demand for…
…GPU and 1,000 tokens per second per user on gpt-oss with the latest NVIDIA TensorRT-LLM stack. As AI shifts from one-shot answers to complex reasoning, the demand for…
…GPU and 1,000 tokens per second per user on gpt-oss with the latest NVIDIA TensorRT-LLM stack. As AI shifts from one-shot answers to complex reasoning, the demand for…
