Get Real-Time Visibility into GPU Usage Across Kubernetes Clusters | NVIDIA Technical Blog
… The chart exposes these through standard Helm values, making them straightforward to manage via existing secret management workflows. …
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Building for the Rising Complexity of Agentic Systems with Extreme Co-Design | NVIDIA Technical Blog
… 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. Coding agents commonly sustain 95-98% cache hit rates, especially when tool output stays small. …
Full-Stack Optimizations for Agentic Inference with NVIDIA Dynamo | NVIDIA Technical Blog
… Every miss is a full prefix recomputation which is a significant performance bottleneck and extremely costly for an end user. Dynamo’s router maintains a global index of which KV cache blocks exist on which workers. …
Building Token‑Metered AI Services on Telco AI Factories | NVIDIA Technical Blog
… You can tune utilization and pricing, but the unit of value remains “dollars per GPU‑hour,” so improvements in hardware and software mainly show up as pressure to lower hourly prices rather than as higher margins. …
Introducing NVIDIA BlueField-4-Powered CMX Context Memory Storage Platform for the Next Frontier of AI | NVIDIA Technical Blog
… This increases pressure on existing memory hierarchies, forcing AI providers to choose between scarce GPU high‑bandwidth memory HBM and general‑purpose storage tiers optimized for durability, data management, and protection—not for serving ephemeral, AI-native, KV cache—driving up power consumption… …
Accelerate Clean, Modular, Nuclear Reactor Design with AI Physics | NVIDIA Technical Blog
… By abstracting away the details of training models at scale, PhysicsNeMo enables developers and engineers to focus on outcomes and dramatically reduce the time and computational cost of design exploration by offering fast surrogate modeling. …
Post-Training Quantization of LLMs with NVIDIA NeMo and NVIDIA TensorRT Model Optimizer | NVIDIA Technical Blog
… It includes tools for training, finetuning, retrieval-augmented generation, guardrailing, and toolkits, data curation tools, and pretrained models, offering enterprises an easy, cost-effective, and fast way to adopt generative AI . …
Inside NVIDIA Groq 3 LPX: The Low-Latency Inference Accelerator for the NVIDIA Vera Rubin Platform | NVIDIA Technical Blog
… Unlocking a new category of AI experiences on the Pareto frontier A practical way to visualize this tradeoff between performance and cost is the Pareto frontier , plotting user interactivity, measured in tokens per second per user TPS per user , on the horizontal axis against AI factory throughput,… …
AR / VR – NVIDIA Technical Blog
… When training slows down,... 7 MIN READ May 04, 2026 Optimize Supply Chain Decision Systems Using NVIDIA cuOpt Agent Skills Modern supply chains operate under the constant pressures of fluctuating demand, volatile costs, constrained capacity, and interdependent decision-making.... …