⚡ Continuous Batching - ibrahimsharaf

🗣️NLP News Blog

machinelearning.substack.com··Substack

How the UK Is Turning Sovereign AI Ambition Into Action With NVIDIA Technologies

🏢LLM Adoption Blog

blogs.nvidia.com·

Anatomy of a high-performance EP kernel

🚀LLM Deployment Blog

fergusfinn.com··Hacker News

IntentKV: Cross-Turn Intent-Aware KV Cache Pruning for Agent Inference

🚀LLM Deployment Academic

arxiv.org·

What Arm-based innovations happened in May 2026?

💻Local AI Blog

newsroom.arm.com·

Integrate OpenShift AI and PG Airman MCP Server

🔓Open Source AI

developers.redhat.com·

KaiFelixBennett/gemma4-turboquant-rdna4: Run Gemma-4-31B at full 256K context on a $1,400 AMD RDNA4 GPU (gfx1201): TurboQuant KV cache + HIP-graph-safe Flash-Attention for llama.cpp, fully measured on real hardware.

🚀LLM Deployment Code

github.com··Hacker News

Using local LLMs for agentic coding

🔓Open Source AI Blog

blog.alexewerlof.com·

DeepSeek V4, LeCun's Bet Against LLMs, and Lovable's Self-Improving Agent - The Tokenizer Edition #30

🤖LLMs

newsletter.artofsaience.com·

GGUF vs GPTQ vs AWQ: The Plain-English Guide to LLM Quantization (and Which One to Pick)

⚡Quantization

vettedconsumer.com··Hacker News

How to Measure Time To First Token (TTFT) in AI Systems

🤖AI Agents

qainsights.com··Hacker News

Benchmarking dots.tts on Strix Halo

🔓Open Source AI

sleepingrobots.com·

ReasonAlloc: Hierarchical Decoding-Time KV Cache Budget Allocation for Reasoning Models

🤖LLMs Academic

arxiv.org·

Introducing Granite Libraries and Project Granite Switch

🤖LLMs Blog

research.ibm.com··Hacker News

Local LLMs, Buy a GPU, and the Case for Cognitive Security

🔓Open Source AI

briefing.forwardfuture.ai·

The economics of speculative decoding

⚡Speculative Decoding Blog

fergusfinn.com··Hacker News

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

🔓Open Source AI

digitalocean.com·

RightNow-AI/AutoMegaKernel: An agent harness that compiles a model into one provably-correct, self-retargeting CUDA megakernel and self-tunes it past cuBLAS at batch-1 LLM decode.

🤖LLMs Code

github.com··Hacker News

MoQ GGUFs and GSQ: Low-Bit GGUFs Are About to Get Much Better

⚡Quantization News Blog

kaitchup.substack.com··r/LocalLLaMA

Youssof Altoukhi (@Youssofal_)

Issue #390 - The ML Engineer 🤖

How the UK Is Turning Sovereign AI Ambition Into Action With NVIDIA Technologies

Anatomy of a high-performance EP kernel

IntentKV: Cross-Turn Intent-Aware KV Cache Pruning for Agent Inference

What Arm-based innovations happened in May 2026?

Integrate OpenShift AI and PG Airman MCP Server

KaiFelixBennett/gemma4-turboquant-rdna4: Run Gemma-4-31B at full 256K context on a $1,400 AMD RDNA4 GPU (gfx1201): TurboQuant KV cache + HIP-graph-safe Flash-Attention for llama.cpp, fully measured on real hardware.

Using local LLMs for agentic coding

DeepSeek V4, LeCun's Bet Against LLMs, and Lovable's Self-Improving Agent - The Tokenizer Edition #30

GGUF vs GPTQ vs AWQ: The Plain-English Guide to LLM Quantization (and Which One to Pick)

How to Measure Time To First Token (TTFT) in AI Systems

Benchmarking dots.tts on Strix Halo

ReasonAlloc: Hierarchical Decoding-Time KV Cache Budget Allocation for Reasoning Models

Introducing Granite Libraries and Project Granite Switch

Local LLMs, Buy a GPU, and the Case for Cognitive Security

The economics of speculative decoding

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

RightNow-AI/AutoMegaKernel: An agent harness that compiles a model into one provably-correct, self-retargeting CUDA megakernel and self-tunes it past cuBLAS at batch-1 LLM decode.

MoQ GGUFs and GSQ: Low-Bit GGUFs Are About to Get Much Better