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Release Notes

April 3, 2026

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: