Introduction: A New Era for AI Agents
NVIDIA has recently unveiled the Nemotron 3.5 Super VL, a massive 120‑billion‑parameter vision‑language model built to fuel always‑on agents in the enterprise. This launch marks a major step forward in converging text, image and video within a single architecture.
By combining power, flexibility and openness, Nemotron 3.5 Super VL promises to transform business workflows while simplifying deployment through a single entry point for multiple tasks.
Technical Architecture: 12 Billion‑Parameter Mixture‑of‑Experts
The core of the model is based on a Mixture‑of‑Experts (MoE) architecture, where 12 billion parameters are activated per token. This approach balances performance and cost while retaining the capacity to handle contexts up to one million tokens.
The combination of NVIDIA NVFP4 and BF16 checkpoints ensures broad compatibility with modern GPUs (H200, H100, GB200), delivering a throughput more than five times that of competing open‑source models on a single card.
GPU Throughput Optimization
NVIDIA has optimized memory management and parallelism to maximize resource utilization. Internal benchmarks show significant improvements in reasoning, tool‑calling and code generation tasks.
Key Features: Multimodal Reading and Autonomous Execution
Nemotron 3.5 Super VL reads text, images, PDF documents and videos simultaneously, then generates coherent responses, calls external APIs and writes code—all within the same model. This unique integration eliminates the need to combine multiple specialized models.
Developers benefit from a single open‑source checkpoint, reducing infrastructure costs and simplifying maintenance. The two edge variants, Nemotron 3.5 Bolt 74B-A9B and Bolt E4B, deliver performance tailored to constrained environments.
Performance Benchmark: Impressive Results
- GPQA‑Diamond score of 89.90 (NVFP4)
- Tau3‑Bench banking score of 17.78 (NVFP4)
These figures illustrate the model’s superiority in document analysis and complex reasoning. Tests also show a 30 % reduction in inference times compared to competing models.
Impact on Business Operations
The AI agent can now automate reading financial reports, generating video summaries and writing Python scripts without human intervention, translating into an estimated productivity increase of 25 % in pilot tests.
Ecosystem and Integration: A Cloud‑Ready Model
NVIDIA provides SDKs compatible with TensorRT, ONNX Runtime and PyTorch, facilitating integration into CI/CD pipelines. Companies can deploy Nemotron 3.5 Super VL on Kubernetes clusters or directly on NVIDIA GPUs via DGX Spark.
The open‑source community benefits from full access to model weights, encouraging the creation of plugins and extensions for various business use cases.
Conclusion: Towards Always‑On AI
“Nemotron 3.5 Super VL paves the way for truly autonomous AI agents capable of understanding and acting on a wide range of media without fragmentation.”
By adopting this model, enterprises can reduce operational costs while accelerating product innovation. Contact our team for a personalized demonstration and start transforming your workflow today.
