… Learn more Generative AI’s explosive first chapter was defined by humans sending requests and models responding. The agentic chapter is different. Agents don’t follow a pre-determined sequence of actions. …
Agentic AI / Generative AI How the NVIDIA Vera Rubin Platform is Solving Agentic AI’s Scale-Up Problem May 14, 2026 By Graham Steele and Eduardo Alvarez Discuss 0 Discuss 0 L T F R E Agentic inference has fundamentally changed the runtime dynamics of inference workloads by introducing non-determini… …
… The NVIDIA NeMo Agent toolkit is framework-agnostic, enabling integration with a wide array of popular agentic platforms and tools. …
… In these workloads, the most important metrics are time-to-first-token, tokens per second per user, and tail latency. Many modern AI platforms must support both regimes simultaneously, running high-throughput backends for large-scale processing while delivering responsive interactive experiences. …
… Performance across the AI factory All these architectural elements enable the Vera CPU to deliver up to 1.5x the agentic sandbox performance under full-socket load compared to competitive x86 platforms across compilers, scripting tools, runtime engines, compression, and agentic tool calls Figure 3 . …
… Four models are included, featuring Gemmas first MoE model, and support for over 140 languages; these models enable reasoning, code generation, agent tool use, and multimodal input, and can be deployed locally using vLLM, Ollama, llama.cpp, and Unsloth for efficient workflows. …
… These systems rely on agentic long‑term memory for context that persists across turns, tools, and sessions so agents can build on prior reasoning instead of starting from scratch on every request. …
… A production agentic AI assistant running on-device needs to: Run 7B+ parameter models locally Process multimodal inputs camera, audio, telemetry Maintain low latency 30 tokens/sec decode throughput Ensure data privacy edge-first execution DRIVE AGX platforms are ideally suited to meeting these req… …
… This new release of AI-Q adds first-class support for connecting to authenticated MCP servers as data sources, so research pipelines can pull from the same enterprise systems agents already use, without standing up a parallel retrieval stack. …
… Verified skills extend this AI governance to agent capabilities. Runtime controls help govern agent behavior during execution. Verified skills govern capabilities that enter the workflow and become a common way to extend trust agents across coding tools, registries, and enterprise platforms. …
