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 BlogAccording to Reuters, the AI agent that went looking for ExploitGym hacking benchmark shortcuts on Hugging Face’s systems started trying to escape its not-sandboxed-well-enough test environment around July…
…With agentic AI, the metrics for tracking success are even more complex. But benchmarks don't answer the question that actually matters: Should you undertake this effort and is it viable for…
…AI labs often use benchmarks to show off their model’s prowess, but a high score, even on an agent-oriented benchmark, doesn’t actually prove that an AI can accomplish various…
…SuperClaw performed across a range of enterprise-relevant agentic AI tasks with its hybrid compute approach 3 : SuperClaw hybrid routing accuracy result against benchmarks from LLMrouterbench and SWEbench In this test, SuperClaw…
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…
…Compression throughput affects how quickly data can be reduced, and decompression throughput can affect how quickly storage systems return data to agentic AI applications. The following benchmarks measure these operations independently. Vera…
…A Benchmark for Real-World, Long-Horizon Agent Evaluation (2026) OpenComputer: Verifiable Software Worlds for Computer-Use Agents (2026) AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? (2026) SWE-Marathon…
…AI Agent Customization . What’s the difference between evaluating an AI model and evaluating an AI agent? While model and agent evaluation are inextricably linked, their technical benchmarks and metrics for success…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Current AI benchmarks evaluate agents on task execution within human-designed workflows. These evaluations fundamentally fail to measure a critical next-level capability: whether…
…Benchmarking Agents from Real Workplace Sessions Published on Jun 22 Submitted by Kaiyan Zhang on Jun 23 #2 Paper of the day Frontis AI Authors: , , , , , , , Kaiyan Zhang Abstract EnterpriseClawBench presents a benchmark…
Agentic AI Needs Open Infrastructure: Here's How to Build IT AI benchmarking is evolving rapidly as enterprises scale from experimentation to deployment. This interactive session explores measuring real world performance across…
