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Release Notes#

Release 1.1.0#

Summary#

This release expands GPU support to include the latest NVIDIA architectures and introduces telemetry control capabilities.

Key Features#

  • Extended GPU support: Added support for the following NVIDIA GPU architectures:

    • NVIDIA Blackwell GPUs (B200, GB200, RTX PRO 6000 Blackwell Workstation Edition)

    • NVIDIA Grace Hopper GPUs (GH200)

    • H200 GPUs

    • GB10 (DGX Spark)

  • 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.

    Benefits:

    • 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 only 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

    • Set NIM_TELEMETRY_MODE=1 to enable telemetry

    • Set NIM_TELEMETRY_ENABLE_LOGGING=true to enable logging of telemetry operations to container stdout for debugging and visibility purposes. This setting controls logging only and does not affect whether telemetry data is sent.

    For detailed configuration examples, refer to Advanced Usage.

    For more information about data privacy, what is collected, and how to configure telemetry, refer to:

Release 1.0.2#

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