Improved AI Frameworks: CUDA, TensorRT, and PyTorch
To ensure compatibility with GeForce RTX 50 Series, it’s recommended that developers update to the latest version of the AI frameworks.
For details about updating your applications to the latest AI frameworks, see Software Migration Guide for NVIDIA Blackwell RTX GPUs: A Guide to CUDA 12.8, PyTorch, TensorRT, and Llama.cpp.
TensorRT 10.8 introduces support for FP4, which supercharges the latest diffusion-based models like Flux by more than 2x compared to FP16 precision on the RTX 4090. Additionally, TensorRT 10.8 offers weight-stripped engines to prevent weight duplication when shipping dedicated engines for different GPU arch families, thereby improving memory utilization. Moreover, NVIDIA TensorRT-Cloud now supports the latest GeForce RTX 50 Series GPUs, enabling developers to remotely build optimized inference engines.
AI-Powered Gaming
The GeForce RTX 50 Series GPUs and the latest SDK updates enable you, as a developer, to build revolutionary games using the following technologies.
Neural Rendering with NVIDIA DLSS
NVIDIA DLSS is a suite of neural rendering technologies that uses AI to boost FPS, reduce latency, and improve image quality. Powered by GeForce RTX 50 Series GPUs and fifth-generation Tensor Cores, DLSS 4 introduces DLSS Multi Frame Generation which generates up to three additional frames and works in unison with the complete suite of DLSS technologies to multiply frame rates by up to 8x over traditional brute-force rendering. Additionally, DLSS Ray Reconstruction, DLSS Super Resolution, and DLAA technologies are now powered by transformer-based models to improve image and lighting detail and stability for all GeForce RTX GPUs.
Get started with DLSS through NVIDIA Streamline, an open-source cross-IHV solution that simplifies integration of the latest NVIDIA and other super-resolution technologies into applications and games.
Bring Game Characters to Life with NVIDIA ACE
NVIDIA ACE is a suite of digital human technologies that bring game characters and digital assistants to life with generative AI. ACE now enables you to easily add agentic capabilities to digital humans within your game or app. It includes the following:
* New multimodal SLMs, in early access, for advanced and autonomous agentic workflows, with support for longer-context and complex reasoning tasks.
* Audio2Face 3D NIM provides state-of-the-art lipsync and facial animation using real-time audio.
Streamline AI Model Deployment with NVIDIA In-Game Inferencing SDK
NVIDIA In-Game Inferencing (IGI) SDK streamlines AI model deployment and integration for PC game developers. The SDK preconfigures the PC with the necessary AI models, engines, and dependencies. It orchestrates in-process AI inference for C++ games with support for all major inference backends across different hardware accelerators (GPU, NPU, CPU). The IGI SDK is now available in beta for select partners with general availability coming soon.
Accelerated Content Creation
New and updated SDKs with support for content creation on Blackwell RTX GPUs include the following.
Enhance Video Conferencing with NVIDIA Maxine
NVIDIA Maxine is a collection of high-performance, easy-to-use, NVIDIA NIM microservices and SDKs for deploying AI features that enhance audio, video, and augmented reality effects for video conferencing and telepresence. New features include the following:
* Studio Voice makes any mic sound like a professional mic.
* Virtual Key Light relights a face as if it were using a virtual keylight (coming soon).
Generate Photorealistic Imagery with NVIDIA Iray
NVIDIA Iray SDK is an intuitive, physically based rendering technology to generate photorealistic imagery for interactive and batch rendering workflows. Updates include:
* Improved diffuse and sheen BRDFs with the new NVIDIA MDL SDK 1.10
* Improved geometry tesselation and displacement
* Precise and robust rendering of caustics
* New mode to automatically enable and disable the sampling of caustics, to improve either quality or performance of the renderings
* Support for faster clustering or network rendering
Hardware-Accelerated Video Encoding with NVIDIA Video Codec SDK
NVIDIA Video Codec SDK is a set of APIs for hardware-accelerated video encode and decode on Windows and Linux. Updates include:
* Support for 4:2:2 H.264 encoding and decoding to take advantage of the ninth-generation NVENC encode in Blackwell
* Improved MV-HEVC, and the new AV1 UHQ mode to provide the best quality
* Optimized memory and 2xH.64 the throughput over previous generations, with NVDEC decode in Blackwell
These updates are now available for use through FFMPEG, and the Microsoft DXVA and MFT frameworks.
Optimize Ray Tracing with NVIDIA OptiX
NVIDIA OptiX SDK is an application framework for achieving optimal ray tracing performance on the GPU. It provides a simple, recursive, and flexible pipeline for accelerating ray tracing algorithms. Updates to OptiX 9.0 include:
* Clusters API to accelerate BVH builds of massive dynamic triangle meshes
* Cooperative Vectors API for executing small AI networks within OptiX Shader programs, accelerated by NVIDIA Tensor Cores
* Hardware-accelerated linear curves on Blackwell GPUs
Boost AI-Enhanced Effects with NVIDIA RTX Video SDK
NVIDIA RTX Video SDK provides AI-enhanced effects technologies for creative and media playback apps to improve sharpness, clarity, and the automatic conversion of SDR video to HDR. The updates bring new neural networks that are 40% more performant, apply AI upscaling to 10-bit HDR video, and support for CUDA.
Get Started
Ready to experiment, develop, and optimize with the latest AI capabilities on over 100 million RTX PCs worldwide? Get started with AI on NVIDIA RTX PCs. To learn more about adding support for NVIDIA Blackwell RTX GPUs to your AI application for maximum performance, check out the Software Migration Guide for NVIDIA Blackwell RTX GPUs: A Guide to CUDA 12.8, PyTorch, TensorRT, and Llama.cpp.
Conclusion
The GeForce RTX 50 Series GPUs and the latest SDK updates offer a wide range of AI-powered technologies for developers to build revolutionary games and accelerate content creation. With improved AI frameworks, neural rendering, digital human technologies, and more, developers can unlock new levels of performance and creativity.
FAQs
Q: What is the recommended update for AI frameworks to ensure compatibility with GeForce RTX 50 Series?
A: Update to the latest version of the AI frameworks.
Q: What is the new feature in TensorRT 10.8?
A: Support for FP4, which supercharges the latest diffusion-based models like Flux by more than 2x compared to FP16 precision on the RTX 4090.
Q: What is the new feature in NVIDIA DLSS 4?
A: DLSS Multi Frame Generation, which generates up to three additional frames and works in unison with the complete suite of DLSS technologies to multiply frame rates by up to 8x over traditional brute-force rendering.
Q: What is the new feature in NVIDIA ACE?
A: New multimodal SLMs, in early access, for advanced and autonomous agentic workflows, with support for longer-context and complex reasoning tasks.
Q: What is the new feature in NVIDIA Iray?
A: Improved diffuse and sheen BRDFs with the new NVIDIA MDL SDK 1.10.
