Latest Content
Cosmos Reason 2 8B icon

Cosmos Reason 2 8B

NVIDIA
Cosmos-Reason2-8B is a multimodal vision-language model optimized for physical AI and robotics. It contains 8B parameters, built on a ViT vision encoder and a 36-layer dense transformer with 32 attention heads and 4096 hidden size. Post-trained from Qwen3-VL-8B-Instruct, it supports up to 256K token context and spatio-temporal reasoning for robotics, video analytics, and data curation. The model enables object detection with 2D/3D localization, common-sense planning, and embodied reasoning, serving as the foundation for AI agents to interpret, plan, and act in complex real-world environments.
TypeVision-Language Model
CapabilitiesText Generation, Instruction Following, Reasoning, Mathematical Reasoning+6 more
Group Release DateJanuary 4, 2026
Links
Blog|HF Model Card
Licensenvidia-open-model-license

Inference Instructions

Deploy and run this model on NVIDIA B200 GPUs using the command below. Copy the command to get started with inference.

CONSOLE
docker run --gpus all 
 --shm-size 128g 
 -p 8000:8000 
 -v ~/.cache/huggingface:/root/.cache/huggingface 
 -e HF_TOKEN='YOUR_HF_TOKEN' 
 --ipc=host 
 lmsysorg/sglang:v0.5.9 
 python3 -m sglang.launch_server 
 --model-path nvidia/Cosmos-Reason2-8B 
 --host 0.0.0.0 
 --port 8000 
 --max-prefill-tokens 65536 
 --max-running-requests 1024 
 --tp 8 
 --mem-fraction-static 0.95 
 --trust-remote-code
Note

Nvidia Cosmos Reason 2 is a gated model; ensure you have been granted access on Hugging Face and have authenticated your environment using a valid HF_TOKEN.

Model Benchmarks

Each model was tested with a fixed input size and total token volume while increasing concurrency to measure serving performance under load.

ITL vs Concurrency

Time to First Token

Throughput Scaling

Total Tokens/sec vs Avg TTFT

Vultr Cloud GPU

NVIDIA HGX B200

Deploy NVIDIA B200 on Vultr Cloud GPU

Deploy NVIDIA B200 instancesContact Sales