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Release Notes for NVIDIA NIM for RFdiffusion#

Release 2.3.0#

Summary#

  • GB200 support: NVIDIA NIM for RFdiffusion now supports NVIDIA GB200 (Grace Blackwell) for improved inference performance and scalability.

  • NIMTools 1.6.1: Updated to NIMTools 1.6.1.

  • Telemetry control: NIM Telemetry helps NVIDIA deliver a faster, more reliable experience with greater compatibility across a wide range of environments, while maintaining strict privacy protections and giving users full control.

Key Features#

- **Enhances performance and reliability**: Provides anonymous system and NIM-level insights that help NVIDIA identify bottlenecks, tune performance across hardware configurations, and improve runtime stability.

- **Improves compatibility across deployments**: Helps detect and resolve version, driver, and environment compatibility issues early, reducing friction across diverse infrastructure setups.

- **Accelerates troubleshooting and bug resolution**: Allows NVIDIA to diagnose errors and regressions faster, leading to quicker support response times and higher overall availability.

- **Informs smarter optimizations and future releases**: Real-world, aggregated telemetry data helps guide the optimization of NIM runtimes, model packaging, and deployment workflows, ensuring updates target the scenarios that matter most to users.

- **Protects user privacy and data security**: Collects minimal, anonymous metadata, such as hardware type and NIM version. No user data, input sequences, or prediction results are collected.

- **Fully optional and configurable**: Telemetry collection is disabled by default. You can toggle telemetry at any time using environment variables.

**Configuration:**

- Set `NIM_TELEMETRY_MODE=0` to disable telemetry (default)
- Set `NIM_TELEMETRY_MODE=1` to enable telemetry

For more information about data privacy, what is collected, and how to configure telemetry, refer to:
- [NVIDIA's Privacy Policy](https://www.nvidia.com/en-us/about-nvidia/privacy-policy/)
- [NIM Telemetry Settings](https://developer.nvidia.com/docs/nim-tools/latest/templates/nimlib/nim-telemetry.html)

Release 2.2.0#

Summary#

This release brings improved performance and stability through the following system updates:

  • Enhanced system stability and performance with our latest core system updates

  • Improved integration with our advanced protein design platform for better results