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…Converging AI and scientific computing The launch of the NVIDIA Vera Rubin platform marks a new phase in scientific computing, where AI and simulation increasingly reinforce one another. In many supercomputing environments…
…Running models with tens of billions of parameters in production, especially for conversational or voice-based AI agents, demands high throughput, low latency, and predictable service-level performance. For startups building sovereign…
…This creates a new requirement for simulation: it must deliver scale, realism, and multimodal sensing all in one tight training loop, something traditional CPU-bound simulators cannot handle efficiently. This edition of…
Agentic AI / Generative AI NVIDIA Blackwell Sets STAC-AI Record for LLM Inference in Finance May 27, 2026 By Dan Blanaru and Martin Marciniszyn Mehringer Discuss (0) Discuss (0) L T F…
…Approaches like super resolution, denoising, and neural rendering help real-time engines work more efficiently, offering new creative possibilities while keeping performance in mind. Unreal Engine 5 (UE5) has taken several steps…
…Discuss (0) Discuss (0) Tags Agentic AI / Generative AI | Data Center / Cloud | Financial Services | Blackwell | Intermediate Technical | Advanced Technical | Benchmark | News | Tutorial | featured | Low-Latency Inference About the Authors About Nikolay Markovskiy…
…Discuss (1) Discuss (1) Tags Agentic AI / Generative AI | Data Center / Cloud | General | AI Enterprise | NIM | NVLink | TensorRT | TensorRT-LLM | General Interest | Intermediate Technical | News | AI Inference | featured | Inference Performance | Llama | LLMs…
…capabilities and shows how it enabled support for recent NVIDIA Nemotron models at launch. What is AutoDeploy? Every new LLM architecture comes with its own inference challenges, from transformer models to hybrid…
…Paired with NVIDIA Groq 3 LPX , Vera Rubin delivers up to 35x higher throughput per megawatt and 10x more revenue for trillion-parameter, high-context workloads , creating a new premium tier of…
…This test harness launches a grid of threads where each thread performs a dense loop of MUFU.EX2 instructions. By timing the execution and comparing it against the clock frequency, you can…