LLMs13 min read
NVIDIA AVO Agent Hits 100% on ARC-AGI-3 Benchmark
NVIDIA's AVO agent system scored 100% on ARC-AGI-3 using Claude Opus 5. It completed all levels with fewer actions than the VISTA system.
From NVIDIA technical blog
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LLMs13 min read
NVIDIA's AVO agent system scored 100% on ARC-AGI-3 using Claude Opus 5. It completed all levels with fewer actions than the VISTA system.
From NVIDIA technical blog
LLMs1 min read
To understand where agentic AI stands today, consider the last seismic shift in technology: the rise of the internet in the 90s. It was new and full of...
From NVIDIA technical blog
Photo: Yan Krukau
LLMs1 min read
AI agents can be given a goal, write code, use tools, and keep working as new information becomes available. This opens the door to applications that...
From NVIDIA technical blog
LLMs1 min read
NVIDIA CUDA Toolkit 13.4 introduces support for Windows on Arm, alongside enhanced control over shared GPUs. This update provides developers with expanded platform options and improved GPU management capabilities.
From NVIDIA technical blog
LLMs1 min read
Meta's Muse Glimmer is a 30-billion parameter open-weight dense model with a 120K+ context window, designed for local AI applications and open source deployment.
From NVIDIA technical blog
LLMs1 min read
NVIDIA announced Nemotron, an AI system designed for adaptive, agentic cybersecurity applications, capable of coordinating complex objectives over long periods.
From NVIDIA technical blog
LLMs1 min read
NVIDIA NVLink Fusion expands NVHBM capabilities, allowing for increased bandwidth and reduced latency between GPUs. This facilitates the execution of larger AI models and complex reasoning workloads within next-generation AI infrastructure.
From NVIDIA technical blog
LLMs1 min read
The NVIDIA Vera CPU features Olympus cores optimized for maximum single-threaded performance. This allows agents to execute more critical paths on the CPU, improving response times and overall efficiency in agentic AI applications.
From NVIDIA technical blog
LLMs1 min read
Alibaba has released the open weights for Qwen3.8-2.4T-A95B, a 2.4 trillion parameter model, allowing near-frontier capabilities to be deployed on NVIDIA GB300 NVL72 systems. This enables engineers to run large language models with configurable reasoning.
From NVIDIA technical blog
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