NVIDIA Brings Trusted, 24/7 AI Agents to Telecom Operations
… Long‑running autonomous agents that operate under strict service-level agreements, change‑management policies and regulatory constraints are key to this shift. …
… Long‑running autonomous agents that operate under strict service-level agreements, change‑management policies and regulatory constraints are key to this shift. …
… For enterprises, the shift from AI assistants to autonomous agents changes the trust equation. …
… For large VLA models and smaller policies, gains range from 2-3.5x. …
… RoboLab: Benchmarking the Next Generation of Generalist Robots 🔗 RoboLab is a high-fidelity simulation benchmark for developing and evaluating generalist robot policies — powering systems designed to perform diverse tasks across environments. https://blogs.nvidia.com/wp-content/uploads/2026/04/Put … …
… It’s continuous, because the environment that agentic models operate in shifts fast. The tools an agent uses can change week to week. Edge cases surface in production that no test set anticipated. Each deployment brings its own codebase, policies and environment. …
… The platform connects directly to payment service providers and merchant data sources to ingest transaction data, customer interactions and policies, then automatically assembles dispute-specific evidence that aligns with card network and issuer requirements. …
… Developers need to train robots to operate properly even when anatomy changes, devices behave differently, conditions shift or a policy fails unexpectedly. …
… An energy planning agent then reasons over the synthetic data to generate energy-saving policies that can be simulated in AI RSG, allowing operators to safely validate energy-saving policies in a closed loop to meet their intent without changing live configurations or impacting subscribers. …
… Building a Platform for an Entire Ecosystem The NVIDIA DSX Air simulation platform is designed to support the entire AI factory ecosystem. …