… AI Inference Real-world inferencing demands high throughput and low latencies with maximum efficiency across use cases. An industry-leading solution lets customers quickly deploy AI models into real-world production with the highest performance from data center to edge. …
… But infrastructure alone doesn’t get you to high-margin, production-ready enterprise AI services. Model sizes and reasoning workloads continue to grow, driving up tokens per request, while each new generation of accelerated computing drives down cost per token. …
… Popular API providers discount cache hits by approximately 90%, so at a 95% cache hit rate, input processing cost drops by about 85%; without prompt caching, the cost here would be roughly 6x higher. …
… In the intelligence‑versus‑efficiency plot, Nemotron 3 Super lands in the most attractive upper‑right quadrant—combining strong task performance with high output throughput per GPU—making it a compelling choice for cost‑sensitive production agents. …
… For enterprise developers, this speed translates into lower serving costs, higher concurrency, and more responsive user experiences without sacrificing model quality. …
… As with bursty voice traffic, distributing concurrent video generation demand across multiple edge sites lets operators push GPUs to higher utilization, which in turn drives higher throughput and lowers the effective cost of delivering each stream. …
… Learn more Co-designed hardware, software, and models are key to delivering the highest AI factory throughput and lowest token cost. …
… Beyond accuracy, MediaPerf—an open industry benchmark that evaluates video understanding models on real media data and production tasks across quality, cost, and throughput—shows Nemotron 3 Nano Omni achieving the highest throughput across every task and the lowest inference cost for video-level ta… …
… Pareto curves illustrate how NVIDIA Blackwell provides the best balance across the full spectrum of production priorities, including cost, energy efficiency, throughput, and responsiveness. …
… Titled Small Language Models are the Future of Agentic AI , we highlight the growing opportunities for integrating SLMs in place of LLMs in agentic applications, decreasing costs, and increasing operational flexibility. …