Model ID
nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16
Capabilities
Nemotron 3.5 Bolt 74B A9B BF16
Nemotron 3.5 Bolt 74B A9B is a hybrid vision-language Mixture-of-Experts model designed for local agentic tasks, coding, and visual reasoning. It features 74B total parameters with 9B active, using an 88-layer architecture with 4,096 hidden size, 32 attention heads, and 2 KV heads. The backbone interleaves Mamba-2, LatentMoE, and attention layers, with each MoE layer activating 9 routed experts and a shared expert per token. Compressed from Nemotron 3.5 Super VL, it adds a C-RADIO v4-H vision encoder and 256K-token context, with the BF16 checkpoint aimed at post-training.
About this model
Nemotron 3.5 Bolt 74B A9B is a hybrid vision-language Mixture-of-Experts model designed for local agentic tasks, coding, and visual reasoning. It features 74B total parameters with 9B active, using an 88-layer architecture with 4,096 hidden size, 32 attention heads, and 2 KV heads. The backbone interleaves Mamba-2, LatentMoE, and attention layers, with each MoE layer activating 9 routed experts and a shared expert per token. Compressed from Nemotron 3.5 Super VL, it adds a C-RADIO v4-H vision encoder and 256K-token context, with the BF16 checkpoint aimed at post-training.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16). Released under OpenMDW-1.1. Further reading: Blog
Deploy Private Inference Endpoint
Choose your hardware and inference engine to get deployment commands and performance benchmarks tailored to your infrastructure
Hardware
B200
1,440 GB
Engine
vLLM
SGLang
Deployment code
Access Restricted
Enter your email to get access to this content
Download the reasoning parser before serving: curl -L https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16/resolve/main/ultra_v3_reasoning_parser.py -o ultra_v3_reasoning_parser.py and pass --reasoning-parser-plugin "/tmp/ultra_v3_reasoning_parser.py" with --reasoning-parser ultra_v3.
Performance under load
Tokens/s (total)
Benchmarks measured by Vultr on B200 · vLLM. Throughput and latency vary with concurrency, input length and engine configuration, so treat these as a comparison baseline, not a service guarantee.
NVIDIA HGX B200
Unlock Next-Generation AI Power on Vultr Cloud GPU