One popular way to run AI locally has been to use multiple GPUs to access more memory and compute. While cloud frameworks like vLLM are well optimized for multiple GPUs thanks to their use in data centers, PC frameworks like llama.cpp and the ComfyUI implementation in PyTorch are not optimized for it. To solve this challenge, NVIDIA has collaborated with both llama.cpp and ComfyUI to enhance performance for RTX PCs with two equivalent GPUs. This enables you to run larger models and use the compute of both GPUs for better performance. llama.cpp now supports tensor parallelism (TP), fully utiliz
Build Personal AI Agents on Windows PCs with New Tools from Microsoft and NVIDIA | NVIDIA Technical Blog…Many teams invest weeks fine-tuning models, only to discover that exporting to a... 10 MIN READ May 11, 2026 Introducing NVIDIA Fleet Intelligence for Real-Time GPU Fleet Visibility and Optimization…
…Many teams invest weeks fine-tuning models, only to discover that exporting to a... 10 MIN READ May 11, 2026 Introducing NVIDIA Fleet Intelligence for Real-Time GPU Fleet Visibility and Optimization…
…Hermes, OpenCode, and Mini SWE Agent—consistent performance regardless of which framework you deploy. Finetune for your domain Nemotron 3 Ultra can be fine-tuned using LoRA, SFT, and reinforcement learning using…
…The math libraries provide expanded support for high-performance emulated libraries, and CUDA Core Compute Libraries (CCCL) continue to add both performance and feature improvements, providing C++ developers with a high-performance…
…Many teams invest weeks fine-tuning models, only to discover that exporting to a... 10 MIN READ May 11, 2026 Introducing NVIDIA Fleet Intelligence for Real-Time GPU Fleet Visibility and Optimization…
…6 MIN READ May 21, 2026 Unlock Exascale Performance on NVIDIA GB200 NVL72 with Slurm Topology-Aware Job Scheduling As AI models grow in scale and complexity, realizing the full performance of…
…In addition, DriveOS 7 on Thor supports multiple QNX and Linux virtual machines enabling secure software environments for both AV and in-vehicle AI domains. DRIVE AGX Thor’s powerful AI performance…
…By testing these libraries first in high-performance internal stacks and industrial blueprints, we ensure they meet the rigorous demands of enterprise-scale physical AI before they reach general availability. Agentic orchestration…
…Through zero-copy memory access techniques, this inspection occurs without disrupting application or AI performance. DOCA Argus automatically identifies the Linux kernel version running on the host system and applies kernel-specific…