Serving GLM-5.3 at 607.8 tok/s across two Nvidia DGX stations with vLLM
Serving GLM-5.3 at 607.8 tok/s across two Nvidia DGX stations with vLLM — from Hacker News front page
AI infrastructure is the backbone of every model deployment — inference optimization, training platforms, GPU allocation, and cloud services change frequently enough that builders and operators need a dedicated signal feed to stay ahead.
This cluster covers infrastructure launches, inference engine updates, training platform features, deployment tool releases, and cloud-service AI signals. Each signal links to the primary source for technical evaluation.
Use this page to monitor infra shifts: catch new inference engines, compare training platform costs, and evaluate deployment tools before committing to a stack.
Serving GLM-5.3 at 607.8 tok/s across two Nvidia DGX stations with vLLM — from Hacker News front page
Nvidia poured tens of billions into AI startups under Huang. Without him at the helm, founders and VCs are bracing for smaller checks and lower valuations.
New research shows the most advanced AI models from China were trained on banned Nvidia chips.
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Context attribution asks how removing parts of a prompt changes a language model's output. We study leave-one-out (LOO) attribution for a prompt of $n$ tokens and a fixed measurem…
We propose Synthesis Smuggling, a novel threat model in which an adversarial LLM infers sensitive information about a user from routine assistance-seeking interactions and stegano…
Jensen Huang’s resignation raises questions about Nvidia’s commitment to open source AI, including its Hugging Face acquisition, open-weight models, and advocacy against restricti…
Modern automated heuristic discovery (AHD) systems increasingly rival hand-crafted heuristics by leveraging Large Language Models (LLMs) to iteratively mutate and refine solutions…
Oral exams are compelling because (1) students can be asked to provide their reasoning for an answer and (2) their interactive nature permits follow-up questions to resolve ambigu…
We study regret minimization in episodic Adversarial Markov Decision Processes (AMDPs) with unknown transitions and bandit feedback. In tabular AMDPs with $S$ states, $A$ actions,…
Hugging Face's CEO pledged to keep fighting for open source AI after Huang's exit, raising questions about Nvidia's $12.9 billion acquisition.
Release: llm-gemini 0.36 Gemini 4 Carbon was announced two weeks ago for "a subset of cyber defenders", but today it's available to everyone else . This is Google's best ever Gemi…