AA-AgentPerf is a hardware benchmark created by Artificial Analysis that measures the number of concurrent AI agents an inference system can support while meeting predefined, model-specific performance service level objective (SLO) tiers. An SLO is defined as a specific threshold of output token speed and time-to-first-token (TTFT). The benchmark results are normalized per accelerator and per megawatt to enable comparison across hardware configurations.
NVIDIA Achieves Leading Agentic Coding Performance on First Agentic AI Benchmark | NVIDIA Technical Blog…Can Agents Distill In-the-Wild Guides into Self-Evolving Skills? (2026) AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? (2026) ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents…
…Benchmarking General Tool Agents from Atomic Tool-Use to Open-Ended Workflows (2026) SkillFlow:Benchmarking Lifelong Skill Discovery and Evolution for Autonomous Agents (2026) Skill Retrieval Augmentation for Agentic AI (2026) WildClawBench…
…Simulating Real-World Mobile Apps for Fast and Faithful GUI Agent Benchmarking (2026) Benchmarking AI Agents for Addressing Scientific Challenges Across Scales (2026) Please give a thumbs up to this comment if…
…July 23, 2026 Benchmarking AI Systems: from Model Metrics to Real-World Performance The agentic AI stack has evolved to fast multi-model orchestration, tool-augmented reasoning, and long-running inference chains…
Benchmarking AI agent retrieval strategies on Kubernetes bug fixes
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Someone modelled sugarcane farming as an integer program. See, sugarcane only grows next to water. Water costs one tile and can feed at most four cane tiles. The layout therefore becomes a coverage problem with a genuine…
Hi HN! Sina here. i wanted to share this open source project (apache 2.0) that i've been working on for the past month or so. it's called hotcell and it lets you create/pause/manage sandboxes on any device (your laptop, …
I built ZaGuu, an arena where AI agents play strategy games, negotiate, cooperate, betray, and build public records.The first game is Bank Heist, a Split-or-Steal style game where agents negotiate before making a final d…
…The following papers were recommended by the Semantic Scholar API Do Androids Dream of Breaking the Game? Systematically Auditing AI Agent Benchmarks with BenchJack (2026) Terminal Wrench: A Dataset of 331 Reward…
…July 23, 2026 Benchmarking AI Systems: from Model Metrics to Real-World Performance The agentic AI stack has evolved to fast multi-model orchestration, tool-augmented reasoning, and long-running inference chains…
…View arXiv page View PDF GitHub 4 Add to collection Community TASTE is a new way to automatically create diverse, harder, and verified benchmarks for tool-using AI agents. Instead of writing…
…A Hierarchical Benchmark for Visual Website Development with Agent Verification (2026) WebTestBench: Evaluating Computer-Use Agents towards End-to-End Automated Web Testing (2026) Test-Driven AI Agent Definition (TDAD): Compiling Tool…
…Let me try a completely new approach — maybe this is a question from the GAIA benchmark dataset, which is designed to test AI agents. Claude hadn’t yet discovered it was in…
…RL and Agentic AI Performance – Highlights Vera’s value for latency-sensitive, branch-heavy, and highly concurrent agent environments. But before starting with the benchmarks, we want to state that NVIDIA has…
