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News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.

Latest News

3 articles

Developer

Netflix Details In-House LLM Serving Platform with Triton and vLLM

Netflix has shared technical details about its internal platform for serving large language models, built on top of its existing JVM-based infrastructure. The system uses NVIDIA Triton Inference Server for model management and GPU scheduling, with vLLM handling inference. The company discussed challenges including model packaging, constrained decoding, version compatibility, and deployment strategies.

Jul 274 minNeura News

AI Models

Tiny-vLLM Inference Engine and Course Released on GitHub

A developer has released tiny-vllm, a high-performance LLM inference engine written in C++ and CUDA, alongside a comprehensive course that walks through implementing the engine from scratch. The project covers loading models from Safetensors, running prefill and decode, building CUDA kernels, KV cache, and more. It is intended as a learning resource for engineers and educators.

May 304 minNeura News

Developer

Critical Starlette bug imperils millions of AI agents

A vulnerability in the Starlette open source framework, which gets 325 million weekly downloads, puts millions of AI agents at risk. Tracked as CVE-2026-48710 and named BadHost, the flaw lets attackers bypass path-based authorization via a single character in the HTTP Host header. Affected packages include FastAPI, vLLM, and LiteLLM, and exploitation can expose sensitive data like clinical trial databases, email credentials, and cloud infrastructure details.

May 264 minNeura News