An engineer building PlannerCritic, an open-source engine where one LLM writes a plan and a second reviews it, found that the planner consistently makes three structural mistakes—unverified dependenci…
ByteByteGo's EP223 newsletter compares Ollama, vLLM, and SGLang for serving open-weight models, noting Ollama suits local development, vLLM handles high-traffic serving with continuous batching and Pa…
Microsoft released Agent Lightning v1.0, an open-source reinforcement learning framework that lets developers train AI agents without altering their production setup, on August 17. The framework, whic…
VLLM's disaggregated serving using AMD's MORI-IO connector achieved 2.5x higher goodput on the same 8-GPU node compared to standard collocated serving, according to an April 2026 blog post. The benchm…
A homelab user deploying DeepSeek-V4-Flash-0731 on two DGX Spark units achieved 1M token context with an NVFP4 KV cache using a custom vLLM fork, reporting a KV cache size of 1,492,347 tokens and maxi…
Nvidia's latest demo shows that optimizing the inference stack, not the model weights, is the key to performance, achieving 4.2× higher throughput at half the latency on identical H100 hardware with L…
A developer launched a Speculative Decoding Speedup Calculator in OmniTool Hub to help developers configure local inference setups. The technique, which uses a small draft model to speculate tokens an…
Swarm, a pure-Rust runtime, offers a unified platform that combines a gateway and an agent orchestrator, allowing teams to start with basic routing and progressively enable advanced features like mult…
A single AMD MI300X GPU can serve 32 concurrent coding agents running DeepSeek V4 Flash, delivering 582 generation tokens per second after tuning, according to a benchmark by developer Ryan Zhou. The …
A developer's guide separates the local-versus-cloud GPU debate into four practical questions, emphasizing that price alone cannot determine the best deployment option. The article highlights that dep…
Bulwark Gateway, a self-hosted fail-closed security proxy for LLM agents, intercepts and validates tool calls between users and LLM backends, blocking threats immediately with 400+ detection patterns …
DeepSeek V4 Flash, a 284B-parameter mixture-of-experts model with 256 routed experts and FP4 expert weights, was successfully deployed on eight AMD Radeon AI PRO R9600D GPUs (32 GB each, 256 GB total)…
Mem0, a startup building long-term memory for AI agents, is hiring a Research Engineer for Agent Memory in San Francisco with a salary of $175k–250k/yr. The role involves fine-tuning models for memory…
Moonshot AI released the weights for its 2.8-trillion-parameter Kimi K3 model on 27 July 2026, enabling self-hosting but requiring at least 1.7 TB of VRAM, which rules out standard eight-way H100 node…
A developer's four-month home-lab test found that self-hosting open models costs about 7× more than using hosted APIs, cutting their bill from roughly $3,050 to $420 per month by switching to API acce…
Two benchmarks of Qwen3.8-27B on a single RTX 3090 show a 3.2x performance gap: 41.49 tok/s with llama.cpp (build b10088) versus 132 tok/s with vLLM using a DFlash2 block drafter, according to Insider…
Deep Recurse released Ornith 1.5 35B-A3B, a mixture-of-experts language model with 35 billion total parameters and 3 billion active per token, built on a Qwen3.5-MoE architecture for coding, reasoning…
A Google Summer of Code 2026 project by Abhay Chaurasiya, mentored by Nina Polshakova and Daneyon Hansen of CNCF, measured the overhead of agentgateway as an inference gateway and found it dramaticall…
Ornith 1.5 9B, a 9-billion-parameter dense language model from ornith-ai, failed real-world agentic and coding tasks in a local test on a single Nvidia A100 GPU, despite benchmark claims that it rival…
Alibaba's Qwen 3 27B, a dense open-weight multimodal model, can be run locally using DeepSeek Harness, achieving agentic performance close to Claude 4.5 on benchmarks. On a two-node NVIDIA DGX Spark c…