RTX 3090

Headlines · 6

1. 1d
   Local LLM Benchmark Maintainer Reports a Two-Month Pareto-Frontier Plateau

   A Reddit post from the maintainer of the LocalLM benchmark website presents a Pareto-frontier visualization based on a moderate-size collection of community benchmarks run on two RTX 3090 GPUs. The maintainer says the frontier appeared unchanged for two months, dating the period to the releases of DeepSeek-V4-Flash-Vision-Exp and Qwen3.8-Flash-Next. The post also notes new filters for domains, languages and other criteria, and says time/token and score data had been retained since the beginning. The author disclosed that they maintain the website and most of the benchmarks, with four regular contributors and occasional additional contributions.

   r/LocalLLaMA · 🔥 2
2. 5d
   OpenJet Adds Concurrent Coding-Agent Inference on One GPU

   OpenJet released an update that serves multiple coding agents concurrently on a single GPU using a custom CUDA megakernel for Qwen3.8-27B Q4_K_M. Its developer reported 64–72 tokens per second per agent with four agents on an RTX 3090 for short prompts, and 52–55 tokens per second with 23K contexts, though no independent measurements were provided.

   r/LocalLLaMA · 🔥 0
3. Oct 24
   Developer builds a procedural Unity island with Claude Code

   A Reddit developer reports using Claude Code to build Windswept Island, a 4 by 5 km Unity environment based on modified Lofoten elevation data with a 1,000 m peak. The developer says Claude Code writes code, shaders, and tools, then tests and benchmarks its work; recent updates include rebuilt trees, improved ground and distance rendering, storm weather, wildlife, and a fix for pulsing water. The larger aim is a generalized procedural terrain system that can generate erosion, glacial valleys, coastlines, and vegetation to match the real island.

   r/ClaudeAI · 🔥 0
4. Oct 21
   Reddit user runs 748B DeepSeek-V4.1-Flash on a used €2,000 PC at 7.2 tok/s

   A Reddit user posting as /u/Vladowski on r/LocalLLaMA reported running DeepSeek-V4.1-Flash-1017, a 748B-parameter model, on a used PC bought for under €2,000 with an RTX 3090 24 GB, 128 GB DDR4 and an Intel i9-9900X. The run used an Unsloth UD-IQ1_S GGUF taking 233 GB on disk and a llama.cpp build from open PR #30817 with CUDA 12.8, with the model's 110 GB Engram table kept on NVMe and read row by row on demand, which the user says is how it fit. The user reported generation at 7.2 tok/s and said the answer contained a physics error, adding that they saw little practical use for the setup while Qwen models work well on the same hardware.

   r/LocalLLaMA · 🔥 0
5. Oct 20
   SwarmWorld Agent Society Result Reproduced on Consumer GPUs

   A team working with Apex Fusion reproduced the central result of MIT’s SwarmWorld experiment on four RTX 3090 GPUs, using the 4-bit Qwen3.8-27B model and MIT’s unchanged code and commands. The roughly 26-hour run used 12,800 model calls; nine of 12 paired effects matched the original direction, while the compressed model reached all 16 research milestones in society compared with six when working alone. The result came from a single run at one population size, and larger MIT populations were not rerun.

   The Next Web · 🔥 0
6. Oct 20
   Developer reports 190 tok/s for Qwen3.8-27B on two RTX 3090s

   A developer reports that the Geezuz dual-GPU CUDA kernel ran Qwen3.8-27B on two power-limited RTX 3090s at 190 tok/s for one request and an aggregate 622 tok/s across eight requests. The open-source project splits computation across two GPUs over PCIe, supports tensor-core quantization paths and MTP drafting, and includes an OpenAI-compatible server, but its speed and output-quality comparisons have not been independently verified.

   r/LocalLLaMA · 🔥 0

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