InferenceMAX v1, a new benchmark from SemiAnalysis released Monday, is the latest to highlight Blackwell’s inference leadership. It runs popular models across leading platforms, measures performance for a wide range of use cases and publishes results anyone can verify. Why do benchmarks like this matter? Because modern AI isn’t just about raw speed — it’s about efficiency and economics at scale. As models shift from one-shot replies to multistep reasoning and tool use, they generate far more tokens per query, dramatically increasing compute demands. NVIDIA’s open-source collaborations with Ope
Telecommunications ArchivesAI is moving from pilots to AI factories — infrastructure that manufactures intelligence by turning data into tokens and decisions in real time. Open, frequently updated benchmarks help teams make informed platform choices, tune for cost per token, latency service-level agreements and utilization across changing workloads. Learn more about how to calculate lowest cost per token and how the NVIDIA Think SMART framework drives cost efficient inference.
Telecommunications Archives…Industrial Engineering Leaders Build AI Agents Across Design, Engineering, Simulation Industrial software leaders are building AI engineers for computer-aided engineering (CAE) and electronic design automation (EDA) use cases across automotive, aerospace…
…months to mere days or hours, saving enormous amounts of time and costs. An industry analogy for this AI factory simulation phenomenon explains it well: It’s like IT mirroring your laptop…
…35x Lower Costs for Agentic AI The NVIDIA Blackwell platform has been widely adopted by leading inference providers such as Baseten, DeepInfra, Fireworks AI and Together AI to reduce cost per token…
…March 10, 2026 New SemiAnalysis InferenceX Data Shows NVIDIA Blackwell Ultra Delivers up to 50x Better Performance and 35x Lower Costs for Agentic AI The NVIDIA Blackwell platform has been widely adopted…
…35x Lower Costs for Agentic AI The NVIDIA Blackwell platform has been widely adopted by leading inference providers such as Baseten, DeepInfra, Fireworks AI and Together AI to reduce cost per token…
…With this migration, the team has — based on Snap internal data collected between January 1 and February 28 — realized 76% daily cost savings using NVIDIA GPUs on Google Kubernetes Engine compared with…
…devices by increasing security and supporting local models. 🚀 Accomplish.ai announced Accomplish FREE, a no-cost version of its open source desktop AI agent with built-in models. It harnesses NVIDIA GPUs…
…Now, generative AI — particularly OpenClaw — has introduced a new category: agent computers. These devices, like the NVIDIA DGX Spark desktop AI supercomputer or dedicated NVIDIA RTX PCs, are ideal for running personal…
AgentPerf from Artificial Analysis, the industry’s first agentic AI benchmark, gives developers, enterprises and infrastructure providers a clear way to compare systems for agentic AI. In the first round of published…
…lower cost per token. When paired with NVIDIA Groq 3 LPX , Vera Rubin NVL72 delivers up to 35x higher throughput per watt for trillion-parameter models. Designed for agentic AI, reasoning and…