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13Categories

Knowledge catalogue

Search: “inference”

GridTimelineEvolution
49+ results
Model Releases

SOTA Apple Silicon Inference (August 15, 2026)

DGX agent

This is a HANDWRITTEN post. I spent way too much time trying to get fast inference on Apple Silicon. This post is for people who want to know what's the latest on running local models on their mac, an

model-releasesr-localllama
15 Aug 2026
Model Releases
4,732

Source
HumanDGX agent

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AllBlogX PostPaperYouTubeRedditGitHub
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Inference Engines will become a series of one-offs

DGX agent

ninfer, dwarfstar, Splash, llamAmpere, gufo, etc. We've all seen them popping up, great tok/s, people loving them. Forks of llama.cpp or another engine, or made from scratch. For better or worse, the

model-releasesr-localllama
29 Sept 2026
Model Releases

Inference Engineering for Dummies

DGX agent

Hi all! I am a former SWE who has recently transitioned into inference engineering. I launched a side hustle a few months back and I've just taken it full time due to excessive demand. Its been such a

model-releasesr-localllama
2 Oct 2026
Local Ai

I implemented the YOLO26n model inference from scratch using ARM64 Assembly Language (No framework) [P]

DGX agent

This was my Bachelor's Final Project: implementing YOLO26n inference completely from scratch using ARM64 Assembly Language and C, without relying on existing inference frameworks. The goal was to unde

local-air-machinelearning
26 Jul 2026
Local Ai

GitHub - google-ai-edge/ml-drift: GPU-Accelerated AI/ML Inference

DGX agent

Blog Post : ML Drift: Next-Gen GPU AI/ML Inference at the Edge - Google Developers Blog The Google AI Edge Team is excited to announce the open-source release of ML Drift, our high-performance, cross-

local-air-localllama
9 Oct 2026
Model Releases

Running an LLM-driven town with 800+ persistent agents: concurrency, context caching, and inference costs

DGX agent

I spent the past year independently building Slow Vale, an LLM-driven life simulation. The Chinese server now has 800+ AI residents sharing one continuously running city. This is an engineering write-

model-releasesr-localllama
8 Oct 2026
Local Ai

p2p ai inference mesh

DGX agent

A peer-to-peer AI inference mesh is a decentralized network architecture where agents connect directly to discover peers and communicate through distributed protocols to share inference workloads . Su

local-air-ollama
13 May 2026
Model Releases

The Rise of Overfit Inference Engines

DGX agent

There seems to be a whole category of extremely narrow inference runtimes appearing: Strata, ninfer, DwarfStar, Splash, llamAmpere, gufo, etc. They deliberately give up the thing llama.cpp/vLLM are gr

model-releasesr-localllama
3 Oct 2026
Model Releases

llama.cpp Open PRs list - CPU/RAM/Disk/Hybrid Related - Better for CPU-only & Hybrid inference

DGX agent

Folks! We're just 50 PRs away from more faster inference. Hopefully by end of year. Experts!, please chip in there. List of Open/Ongoing PRs(and also Discussions) related to CPU/RAM/Disk/Hybrid: [Disc

model-releasesr-localllama
29 Aug 2026
Tutorials

Semi Edge Inference Idea [D]

DGX agent

Today the most important factor in AI is cost. My idea is to split ML models inference (closed ones, proprietary) across server and edge computing on clients, and I would like to hear what do you thin

tutorialsr-machinelearning
10 Aug 2026
Hardware

Understanding GPU Inference Workloads [D]

DGX agent

Hey everyone, I have been looking into how people source compute for their Inference workloads (and in general). I wanted to understand some specific pain points here. If you've used online services l

hardwarer-machinelearning
26 Jul 2026
Model Releases

DKV: Open-source KV-cache compression framework for local LLM inference (CLI + technical report)

DGX agent

Hi everyone! Over the past five months I've been working on DKV (DifferentialKV), an open-source project exploring KV-cache compression for long-context local LLM inference. The goal is to reduce KV-c

model-releasesr-localllama
25 Jul 2026
Model Releases

Java vllm-like framework claims 90% of perfomance of llama.cpp on local inference on NVIDIA GPUs by compiling Java to CUDA and cuTile

DGX agent

TornadoVM: The Java to CUDA engine: https://github.com/beehive-lab/TornadoVM jitLLM: The inference engine: https://github.com/beehive-lab/jitllm Deep dive talk: https://www.youtube.com/watch?v=HO5CpET

model-releasesr-localllama
8 Oct 2026
Local Ai

Forlinx 20-TOPS M.2 AI accelerator supports PCIe cascading for local LLM inference

DGX agent

Forlinx Embedded has listed an M.2 AI accelerator card based on Rockchip’s RK1820 and RK1828 processors, providing 20 TOPS of INT8 computing performance and up to 5GB of integrated DRAM. The module us

local-air-localllama
29 Sept 2026
Model Releases

2400cc Inference Racer: Dual RTX 3090 motors, NVLink turbo, naked 7840U ThinkPad ECU, VW Golf radiator

DGX agent

Today I present a fine piece of engineering, carefully assembled inside a custom chipboard chassis: the 2400cc Inference Racer, a.k.a. my winter heater. Power comes from two second-hand AORUS RTX 3090

model-releasesr-localllama
26 Sept 2026
Model Releases

CrofAI 'cheapest inference provider in the world' gets exposed as an OpenRouter wrapper, routing requests to smaller, cheaper models at up to 20x markup. CrofAI responds to Wire Fraud allegations by denying everything, then backtracking, then 3 hours later wiping their entire online presence

DGX agent

Disclaimer: no AI was used whatsoever to write this post Cautionary tale about chasing cheap tokens. exposé: https://kendell.dev/blog/crofaifalse/ reaction by nahcrof, announcing the shutdown of the s

model-releasesr-localllama
15 Sept 2026
Hardware

Are inference providers able to make any margins?

DGX agent

Spoke with many providers who lurk in this sub, plus met folks who work in inference. For a 10k monthly revenue, a provider was able to retain only 200 dollars in profit due to GPU costs. Their custom

hardwarer-localllama
10 Sept 2026
Model Releases

VoxGen, an AMD-optimized TTS inference engine for VoxCPM 2 models

DGX agent

Hi, everyone, I’ve just released VoxGen, a lightweight native inference engine for VoxCPM2, written in Rust and using Vulkan compute instead of Python/PyTorch/CUDA. Why VoxGen? The main reason I start

model-releasesr-localllama
2 Sept 2026
Model Releases

I built a DwarfStar-inspired Vulkan/Metal inference engine for Qwen3.6-35B-A3B on 16 GB machines

DGX agent

Disclosure: I’m the author and maintainer of QuarkStar. I built QuarkStar, a small native inference engine inspired by Antirez’s DwarfStar. QuarkStar currently supports: Qwen3.6-35B-A3B, using the sam

model-releasesr-localllama
4 Aug 2026
Model Releases

LLM Inference Dashboard

DGX agent

Working on a resource dashboard, rich logs, lightweight 64mb cap, all local, scales on network API endpoints via collector, supports multiple engines (llama, strata, custom cuda engines, unsloth, LMS)

model-releasesr-localllama
4 Oct 2026
Model Releases

jinfer: An open-source AI inference engine for the JVM. Finally, AI in jar.

DGX agent

For years, the JVM has watched the AI revolution from the bench. Every model, AI framework, every breakthrough, built with/for Python. jinfer is an inference engine built for the JVM from first princi

model-releasesr-localllama
15 Sept 2026
Model Releases

What are your best sources to learn about LLM inference?

DGX agent

The job of doing inference is not the same for every model ou there, as it depends on the architecture and configurations and the available machines. Many times we would not have the right machines to

model-releasesr-localllama
3 Sept 2026
Local Ai

Building a zero-dependency C inference engine for BitNet (1.58-bit) - lessons from hitting 36 tok/s on a Xeon CPU

DGX agent

Over the past few months I have been building a CPU-first inference engine from scratch in pure C99 (no Python, no CUDA, no BLAS, just GCC and make). The focus has been running 1.58-bit ternary models

local-air-localllama
8 Aug 2026
Research

DCGAN inference on a microcontroller: 12.6M parameters, 512KB SRAM, 26-second generation, pure C [P]

DGX agent

This post describes implementing DCGAN (Deep Convolutional Generative Adversarial Network) inference on resource-constrained microcontroller hardware, achieving image generation with a 12.6 million pa

researchr-machinelearning
25 May 2026
Local Ai

Best value upgrade path from 12GB VRAM RTX4080, 16GB system RAM gaming laptop for local LLM inference?

DGX agent

This post discusses upgrade recommendations for improving local LLM inference performance on a gaming laptop with an RTX 4080 (12GB VRAM) and 16GB system RAM. Community members likely shared options f

local-air-ollama
6 May 2026
Local Ai

Stability Matrix Inference & seed usage

DGX agent

Stability Matrix's Inference tab enables users to generate images with a straightforward interface powered by ComfyUI , with seed functionality allowing either random seeds generated each time or cust

local-air-stablediffusion
25 Apr 2026
Local Ai

ASUS UGen300 USB AI Accelerator 8GB for local inference

DGX agent

The ASUS UGen300 is a plug-and-play USB AI accelerator featuring a Hailo-10H processor that delivers up to 40 TOPS (INT4) of inference performance and 8GB of dedicated LPDDR4 memory, consuming just...

local-air-stablediffusion
10 Apr 2026
Model Releases

Basalt: Fast Blackwell inference engine for Qwen 3.8 Flash Next (and how we got vision for free)

DGX agent

Dynamic vision, in action Basalt is an inference engine for 3.8 Flash Next, forked from Strata and heavily tuned for Blackwell. It supports vision, and for this to work you need to have the image enco

model-releasesr-localllama
13 Oct 2026
Tutorials

A Little Guide to Learning Distributed Algorithms for LLMS Training and Inference [D]

DGX agent

Distributed Training and Inference both involves having a fundamental understanding of how distributed systems work in general Distributed Parallelism Tensor Parallelism Pipeline Parallelism Model Par

tutorialsr-machinelearning
26 Sept 2026
Model Releases

I added Qwen-Image 2.1 + LoRA support to TensorSharp (GGUF, local inference)

DGX agent

I maintain TensorSharp, an open-source inference engine. It can now run Qwen-Image 2.1 locally for text-to-image generation and image editing, with support for its LoRA adapters. I’ve added configs fo

model-releasesr-localllama
26 Sept 2026
Hardware

Does high / long term inference damages GPUs?

DGX agent

I always heard that cryptocurrency mining can damage a GPU ( it's maybe wrong) so how much long term inference is damaging a GPU? I mean servers are made for 25/7 operation... Gaming GPUs not so sure?

hardwarer-localllama
4 Sept 2026
Model Releases

GLM-5.2 local inference: ubatch size made a much bigger difference than I expected

DGX agent

Has anyone else experimented with ubatch size when running GLM-5.2 locally? I was testing the 226 GiB GLM-5.2-UD-IQ2_XXS GGUF on 3x RTX PRO 6000 Blackwell GPUs and got a pretty interesting result. Wit

model-releasesr-localllama
22 Aug 2026
Local Ai

Does PCIe matter much for inference?

DGX agent

Speaking of -sm tensor. I have 2x5060ti and i get some 40-50tps form 3.8 27B q6. I used HWinfo to see how saturated the PCIes are during inference are and as expected both the PCIe 5x16 slot and PCIe

local-air-localllama
21 Aug 2026
Model Releases

I ported vLLM's serving stack to C++20: 66 MiB binary, no Python at inference, output checked token-for-token against vLLM

DGX agent

I'm the author, so discount the enthusiasm accordingly. This is an unaffiliated community port, not endorsed by the vLLM project, which it uses to verify its correctness. What started it: I love vLLM,

model-releasesr-localllama
6 Aug 2026
Model Releases

Decrease the power limit of your 5090 to at least 480W - the performance penalty for inference is negligible.

DGX agent

I run my inference machine in the living room, so noise and heat output are a significant concern. Ran a quick test using my daily driver model (Qwen 3.6-27b) and at 480W, the card outputs only 2.1% l

model-releasesr-localllama
4 Aug 2026
Model Releases

How well do multiple GPUs scale for LLM inference? (Trying to understand the basics)

DGX agent

Hi everyone, I’m fairly new to the multi-GPU side of local LLMs and I’m trying to understand how inference actually scales across multiple GPUs. Suppose I have a model running on a single GPU and then

model-releasesr-localllama
2 Aug 2026
Model Releases

[Help] Gemma 4 26B LoRA Training on 16GB VRAM: Loss decreases, but inference degenerates into loops (Masking vs. MoE?)

DGX agent

This Reddit thread discusses a user's experience attempting LoRA fine-tuning of the Gemma 4 26B-A4B model on a 16GB VRAM GPU, where training loss decreases normally but the resulting model degenerates

model-releasesr-ollama
14 Apr 2026
Local Ai

[Paper] Stepped MoE: Segment-Level Routing with Configurable Inference Complexity

DGX agent

Training large language models (LLMs) is resource-intensive, and adapting them for diverse deployment scenarios with varying computational constraints remains challenging. While elastic architectures

local-air-localllama
9 Oct 2026
Model Releases

Trying to optimize LLM inference latency — Ollama + OpenWebUI/AnythingLLM

DGX agent

Hi everyone, I'm currently working on optimizing an LLM setup at my company and I'm trying to identify where the actual performance bottleneck is. Our current setup is roughly: LLM: NVIDIA Nemotron mo

model-releasesr-ollama
23 Aug 2026
Hardware

An open handbook on LLM inference at scale (GPU internals, KV cache, batching, vLLM/SGLang/TensorRT-LLM) [P]

DGX agent

This handbook covers the technical aspects of running large language models efficiently at scale, focusing on GPU optimization techniques including GPU internals, key-value (KV) cache management, batc

hardwarer-machinelearning
20 Jun 2026
Applications

Quantization and Fast Inference (MEAP) - How much performance are you actually getting from quantization in production? [D]

DGX agent

This discussion examines the practical performance gains of quantization techniques when deployed in production environments, particularly addressing whether theoretical speedups translate to real-wor

applicationsr-machinelearning
7 May 2026
Local Ai

graphsignal-top: a `top` for inference GPUs in the open-source Graphsignal profiler, kernels ranked by time, live, with readable names

DGX agent

A few weeks ago we posted the open-source Graphsignal profiler here: wrap vllm serve / sglang serve / whatever in graphsignal-run and it serves everything it measures as JSON, mainly so an agent can r

local-air-localllama
12 Oct 2026
Local Ai

I built ALHR: A tree based sparse attention system that achieves sub-quadratic inference while retaining accuracy. [P]

DGX agent

ALHR - Adaptive Learnable Hierarchical Routing, uses static binary trees and learnable functions to minimize the amount of keys to be read. It does use a dense teacher while phase 1 of training howeve

local-air-machinelearning
9 Oct 2026
Model Releases

Best current R9700 inference engine?

DGX agent

There are way too many forks to keep track of, so I've gotten lost. As far as I can tell, Radiance VLLM is best for models that fit in GPUs while some form of llama.cpp is probably best for MOE RAM-sp

model-releasesr-localllama
8 Oct 2026
Model Releases

Qwen 3.8 flash next is based on Qwen 4 architecture, if the announced Qwen 4 27b is also the same architecture with n-grams does it mean I can actually have faster inference on a single 3090 without tweaking much?

DGX agent

I wish Qwen also released dataset and method to fully train a model ourselves but it is what it is. However, I come here with my stupid question because someone can answer it better. And will the mode

model-releasesr-localllama
26 Sept 2026
Model Releases

Gewell - Gemma4 inference engine

DGX agent

# the What An engine to run Gemma 4 31B on blackwell under massive concurrency and rather specific workload patterns. I've been waiting for someone to do ninfer but for gemma, and, well, ended up havi

model-releasesr-localllama
21 Sept 2026
Local Ai

Solved: LLM inference on Windows was 2–3x slower when the server window wasn't focused

DGX agent

The fix: run the server detached/headless instead of keeping it attached to a console window. RTX 5090, ~27B NVFP4 model via ninfer: Terminal focused: 130–200 tok/s Terminal unfocused: 50–60 tok/s Cli

local-air-localllama
9 Sept 2026
Model Releases

We open-sourced Paddock, our Rust/C++ inference engine with its own CUDA kernels (MIT/Apache-2.0)

DGX agent

I'm one of the developers. We said in August it would go open source in September and it did last night. MIT or Apache-2.0, pick one. The repo you see is our internal repo, kernels included, so from n

model-releasesr-localllama
4 Sept 2026
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