How to Cut LLM Inference Latency and Cost
Learn how to reduce LLM inference costs and latency using quantization, vLLM, SGLang, and speculative decoding without upgrading your hardware.
242 stories
Learn how to reduce LLM inference costs and latency using quantization, vLLM, SGLang, and speculative decoding without upgrading your hardware.
GPT-6.1 Sol Ultrafast: Build Coding Agent Workflows That Stay Fast and Steerable A faster model does not automatically create a faster engineering team. The useful upgrade is an agent loop that can …
AI sales agent workflow templates for lead sourcing, personalization, sending, reply handling, and CRM sync across unlimited inboxes. Deploy five repeatable systems across 10 to 150 plus inboxes without rebuilding from scratch, protecting deliverability and scaling cost per meeting safely.
Magnific co-founder Javi Lopez spent six months and 12 hours of generations on a solo AI backrooms film. Here's what he learned.
8 Docker errors every OpenClaw user hits: permission denied, OOMKilled, port conflicts, broken updates. Here are the exact fixes for each one.
TL;DR Agentic workloads change the traffic an inference server sees. Unlike single-turn chat, an agent session can involve a large initial prefill, repeated model calls, and subagents running in parallel,... The post Session-Aware Agentic Inference with NVIDIA Dynamo appeared first on PyTorch.
TL;DR: AI agent orchestration is the coordination of multiple agents, tools, models, and shared state, and in production it only works when operational controls run inside every agent, tool call, and handoff. Each orchestration pattern fails in its own way, so each needs its own controls.
Build complex, stateful automation pipelines that handle branching, retries, and human approval. Drive real desktops, browsers, and terminals with a versioned JSON DSL and pay $0.05 per agent step. Get your key at https://coasty.ai/developers .
Compare the top ZoomInfo alternatives, including Clay, on data coverage, pricing models, and workflow flexibility, plus the drawbacks real users report.
AI factories are some of the most complex operations in the world, combining GPUs, CPUs, switches, DPUs, and SuperNICs alongside schedulers, orchestration...
The RPA-era ROI model misses most of the value agentic automation creates. This post gives AI center of excellence leaders a framework to size the full value of agents across time savings, exception handling, decision quality, and maintenance economics, and to prioritize which workflows to automate…
What engineering teams tell us about working with AI agents. Part 1 in the series. Over the past few months, I’ve spent a lot of time on discovery calls with engineering organizations, from a 16-developer software agency to telcos, game studios, and consultancies with thousands of developers.
Authentication and digital agreements company OneSpan Inc. today unveiled new and planned features for its OneSpan Sign electronic signature service that go beyond the signing step. The update is aimed at the parts of the agreement process that slow down banks and other financial institutions.
Compare five AI coding assistants across real tasks to find which tool fits your workflow.
In The Backstory, Mao Ting shares how a shoe brand's operational mess pushed her to build AI agents, and a startup, Maxify AI.
A phased agentic workflow that centralizes interpretation while preserving execution authorityContinue reading on Towards AI »
👉 AI Agents Studio : https://www.youtube.com/channel/UCAawqobkJZ28OLcYcMgqYaw?sub_confirmation=1 "This video covers the top trending AI Agent projects this week.
Article URL: https://mistral.ai/news/mistral-large-4/ Comments URL: https://news.ycombinator.com/item?id=49978116 Points: 451 # Comments: 53
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