🧠 LLM Inference - akapaka

Less-relevant results

AMD's Lemonade SDK For Local AI Adds NVIDIA CUDA Support

🧠Local llm

phoronix.com··r/artificial

Re-quantizing a local LLM 14x faster by skipping the tensors that didn't change

⚡LLM Quantization News Blog

andreaborio.substack.com··Substack

High Bandwidth Flash | A New Memory for AI Data Centers and Edge Computing | Sandisk

🐢Turso

ncnonline.net·

LLM Research Papers: The 2026 List (January to May)

🧠Local llm News

magazine.sebastianraschka.com

··Hacker News

China's Xiaomi MiMo Is Now 15X Faster Than ChatGPT and Claude (4 minute read)

⚡LLM Quantization News

decrypt.co··Hacker News

Where to Host Your Open-Source Model (Under 10B Parameters)

🧠Local llm

digitalocean.com·

SPEAR: A System for Post-Quantization Error-Adaptive Recovery Enabling Efficient Low-Bit LLM Serving

⚡LLM Quantization Academic

arxiv.org·

Nvidia DGX Spark GB10 – AI Models and Guide with vLLM and Autonomous Script

⚡LLM Quantization Code

github.com··Hacker News

From GPU to Token: The 8-Layer Observability Stack for AI Infrastructure

☸️Kubernetes Blog

jimmysong.io·

Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks

⚡LLM Quantization

aarushgupta.io··Lobsters, Hacker News

The latest Gemma 4 models use a training trick to slash their on-device memory footprint

🧠Local llm

androidauthority.com·

On-device AI is a margin decision

🧠Local llm Blog

ziraph.com··Hacker News

libertywing/FlashMemory-Deepseek-V4: FlashMemory DS-V4 Retriever: a lightweight retriever that sparsifies DeepSeek-V4 CSA KV-cache. Weights available on Hugging Face.

⚡LLM Quantization Code

github.com·

AI Serving Platform That Adapts to Your Model

☸️Kubernetes Blog

databricks.com·

Show HN: Run Llama.cpp In-Process from Java with Project Panama FFM

🧠Local llm

deemwar-products.github.io··Hacker News

Google’s DiffusionGemma is 4x faster than its other Gemma models

⚡LLM Quantization

thenewstack.io·

OpenCV 5.0 Computer Vision Library Released with Rewritten DNN Engine

🤖Machine Learning

linuxiac.com·

heterodoxin/graphkv: Graph-guided KV cache compression for memory-efficient LLM inference.

🤖Qwen Code

github.com··r/LocalLLaMA

KJLdefeated/RL.cu: RLVR training for LLM in CUDA/C++

TFLite Edge Model Quantizer Snippet

AMD's Lemonade SDK For Local AI Adds NVIDIA CUDA Support

Re-quantizing a local LLM 14x faster by skipping the tensors that didn't change

High Bandwidth Flash | A New Memory for AI Data Centers and Edge Computing | Sandisk

LLM Research Papers: The 2026 List (January to May)

China's Xiaomi MiMo Is Now 15X Faster Than ChatGPT and Claude (4 minute read)

Where to Host Your Open-Source Model (Under 10B Parameters)

SPEAR: A System for Post-Quantization Error-Adaptive Recovery Enabling Efficient Low-Bit LLM Serving

Nvidia DGX Spark GB10 – AI Models and Guide with vLLM and Autonomous Script

From GPU to Token: The 8-Layer Observability Stack for AI Infrastructure

Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks

The latest Gemma 4 models use a training trick to slash their on-device memory footprint

On-device AI is a margin decision

libertywing/FlashMemory-Deepseek-V4: FlashMemory DS-V4 Retriever: a lightweight retriever that sparsifies DeepSeek-V4 CSA KV-cache. Weights available on Hugging Face.

AI Serving Platform That Adapts to Your Model

Show HN: Run Llama.cpp In-Process from Java with Project Panama FFM

Google’s DiffusionGemma is 4x faster than its other Gemma models

OpenCV 5.0 Computer Vision Library Released with Rewritten DNN Engine

heterodoxin/graphkv: Graph-guided KV cache compression for memory-efficient LLM inference.