
NVIDIA Expands Nemotron 3.5 Lineup With High-Efficiency Agentic Models
The new 120B Super VL and Bolt edge models leverage hybrid architectures to optimize multimodal reasoning and local deployment.

The new 120B Super VL and Bolt edge models leverage hybrid architectures to optimize multimodal reasoning and local deployment.

The new laboratory combines high-performance computing with bioinformatics to accelerate cancer research and molecular modeling.

Custom Arm silicon exposes critical gaps in Linux kernel task management, prompting upstream scheduler patches to stabilize AI workload performance.

Major network vendors are split on whether GPU-based architectures are essential for 6G or if custom silicon remains the most efficient path forward.

The new open-source model enhances AV decision-making by integrating high-level reasoning with 360-degree sensor fusion.

The new toolkit enables high-fidelity synthetic data generation for surgical robotics, addressing critical data gaps in clinical AI training.
Nvidia is challenging two decades of x86 dominance with the introduction of its custom Vera CPU, designed specifically to accelerate agentic AI workloads.

The new Touch Surgery Aide platform integrates NVIDIA hardware to enable low-latency computer vision applications within the operating room.

The new seven-chip platform addresses the compute demands of continuous reinforcement learning through enhanced memory bandwidth and hardware-software codesign.

NVIDIA engineer Aaron Erickson details how to stabilize agentic AI by integrating deterministic guardrails and rigorous observability into production workflows.
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