NVIDIA brings agents to life with DGX Spark and Reachy Mini
Related stories
Easily Train Models with H100 GPUs on NVIDIA DGX Cloud
OpenAI and NVIDIA announce strategic partnership to deploy 10 gigawatts of NVIDIA systems
OpenAI and NVIDIA announce a strategic partnership to deploy 10 gigawatts of AI datacenters powered by NVIDIA systems, with the first phase launching in 2026.
Mistral AI partners with NVIDIA to accelerate open frontier models
NVIDIA Cosmos Reason 2 Brings Advanced Reasoning To Physical AI
Welcome the NVIDIA Llama Nemotron Nano VLM to Hugging Face Hub
NVIDIA's GTC 2025 Announcement for Physical AI Developers: New Open Models and Datasets
No-code personal agents, powered by GPT-4.1 and Realtime API
Learn how Genspark built a $36M ARR AI product in 45 days—with no-code agents powered by GPT-4. 1 and OpenAI Realtime API.
CAKE: Compiler-Agent Co-Design for Frontier Kernel Evolution
arXiv:2608. 12629v1 Announce Type: new Abstract: GPU kernel agents and GPU programming languages have advanced separately, leaving expert kernels difficult to reproduce.
NVIDIA-labs OO Agents: Native Python Object-Oriented Agents
arXiv:2607. 20709v1 Announce Type: new Abstract: Traditional agent development is split across prompt templates, tool schemas, callback code, and workflow graphs.
Dual-Node NVIDIA DGX Spark over Tailscale: A Remote-Access Testbed for Distributed LLM Training and Cyber-Threat-Intelligence Fine-Tuning
arXiv:2608. 07226v1 Announce Type: cross Abstract: Compact AI systems make local language-model experimentation increasingly accessible, yet practical evidence for multi-node training on desktop-class accelerators remains limited.