Search

developer.nvidia.com › blog

Build with Kimi K2.5 Multimodal VLM Using NVIDIA GPU-Accelerated Endpoints | NVIDIA Technical Blog

… Try fine-tuning Kimi K2.5 with the NeMo AutoModel recipe . Get started with Kimi K2.5 From data center deployments on NVIDIA Blackwell to the fully managed enterprise NVIDIA NIM microservice, NVIDIA offers solutions for your integration of Kimi K2.5. …

Feb 4, 2026 · Anu Srivastava

developer.nvidia.com › blog

Advancing Emerging Optimizers for Accelerated LLM Training with NVIDIA Megatron | NVIDIA Technical Blog

… As an example, to run Kimi on 256 NVIDIA GB300 GPUs, start from the Megatron Bridge repo root: CONTAINER="nvcr.io/nvidia/nemo:26.04" python scripts/performance/setup experiment.py --account \ -i ${CONTAINER} \ --partition \ -m kimi \ -mr kimi k2\ --log dir \ --num gpus 256 \ --gpus per node 4 \ -t … …

Apr 22, 2026 · Hao Wu