NVIDIA announce RTX 2000 Ada Generation GPU

Generative AI is driving change across industries — and to take advantage of its benefits, businesses must select the right hardware to power their workflows.

The new NVIDIA RTX 2000 Ada Generation GPU delivers the latest AI, graphics and compute technology to compact workstations, offering up to 1.5x the performance of the previous-generation RTX A2000 12GB in professional workflows.

From crafting stunning 3D environments to streamlining complex design reviews to refining industrial designs, the card’s capabilities pave the way for an AI-accelerated future, empowering professionals to achieve more without compromising on performance or capabilities.

Modern multi-application workflows, such as AI-powered tools, multi-display setups and high-resolution content, put significant demands on GPU memory. With 16GB of memory in the RTX 2000 Ada, professionals can tap the latest technologies and tools to work faster and better with their data.

Powered by NVIDIA RTX technology, the new GPU delivers impressive realism in graphics with NVIDIA DLSS, delivering ultra-high-quality, photorealistic ray-traced images more than 3x faster than before. In addition, the RTX 2000 Ada enables an immersive experience for enterprise virtual-reality workflows, such as for product design and engineering design reviews.

With its blend of performance, versatility, and AI capabilities, the RTX 2000 Ada helps professionals across industries achieve efficiencies.

Architects and urban planners can use it to accelerate visualisation workflows and structural analysis, enhancing design precision. Product designers and engineers using industrial PCs can iterate rapidly on product designs with fast, photorealistic rendering and AI-powered generative design. Content creators can edit high-resolution videos and images seamlessly, and use AI for realistic visual effects and content creation assistance.

And in vital embedded applications and edge computing, the RTX 2000 Ada can power real-time data processing for medical devices, optimise manufacturing processes with predictive maintenance and enable AI-driven intelligence in retail environments.

Expanding the reach of NVIDIA RTX

Among the first to tap the power and performance of the RTX 2000 Ada are Dassault Systèmes for its SOLIDWORKS applications, Rob Wolkers Design and Engineering, and WSP.

“The new RTX 2000 Ada Generation GPU boasts impressive features compared to previous generations, with a compact design that offers exceptional performance and versatility,” said Mark Kauffman, assistant vice president and technical lead at WSP. “Its 16GB of RAM is a game-changer, enabling smooth loading of asset-heavy content, and its ability to run applications like Autodesk 3ds Max, Adobe After Effects and Unreal Engine, as well as support path tracing, expands my creative possibilities.”

“The new NVIDIA RTX 2000 Ada — with its higher-efficiency, next-generation architecture, low power consumption and large frame buffer — will benefit SOLIDWORKS users,” said Olivier Zegdoun, graphics applications research and development director for SOLIDWORKS at Dassault Systèmes. “It delivers excellent performance for designers and engineers to accelerate the development of innovative product experiences with full-model fidelity, even with larger datasets.”

“Today’s design and visualisation workflows demand more advanced compute and horsepower,” said Rob Wolkers, owner and senior industrial design engineer at Rob Wolkers Design and Engineering. “Equipped with next-generation architecture and a large frame buffer, the RTX 2000 Ada Generation GPU improves productivity in my everyday industrial design and engineering workflows, allowing me to work with large datasets in full fidelity and generate renders with more lighting and reflection scenarios 3x faster.”

Elevating workflows with next-generation RTX technology

The NVIDIA RTX 2000 Ada features the latest technologies in the NVIDIA Ada Lovelace GPU architecture, including:

• Third-generation RT Cores: Up to 1.7x faster ray-tracing performance for high-fidelity, photorealistic rendering.
• Fourth-generation Tensor Cores: Up to 1.8x AI throughput over the previous generation, with structured sparsity and FP8 precision to enable higher inference performance for AI-accelerated tools and applications.
• CUDA cores: Up to 1.5x the FP32 throughput of the previous generation for significant performance improvements in graphics and compute workloads.
• Power efficiency: Up to a 2x performance boost across professional graphics, rendering, AI and compute workloads, all within the same 70W of power as the previous generation.
• Immersive workflows: Up to 3x performance for virtual-reality workflows over the previous generation.
• 16GB of GPU memory: An expanded canvas enables users to tackle larger projects, along with support for error correction code memory to deliver greater computing accuracy and reliability for mission-critical applications.
• DLSS 3: Delivers a breakthrough in AI-powered graphics, significantly boosting performance by generating additional high-quality frames.
• AV1 encoder: Eighth-generation NVIDIA Encoder, aka NVENC, with AV1 support is 40% more efficient than H.264, enabling new possibilities for broadcasters, streamers and video callers.

NVIDIA RTX Enterprise driver delivers new features, adds support for RTX 2000 Ada

The latest RTX Enterprise Driver, available now to download, includes a range of features that enhance graphics workflows, along with support for the RTX 2000 Ada.

The AI-based, standard dynamic range to high dynamic range tone-mapping feature, called Video TrueHDR, expands the color range and brightness levels when viewing content in Chrome or Edge browsers. With added support for Video Super Resolution and TrueHDR to the NVIDIA NGX software development kit, video quality of low-resolution sources can be enhanced, and SDR content can easily be converted to HDR.

Additional features in this release include:

• TensorRT-LLM, an open-source library that optimises and accelerates inference performance for the latest large language models on NVIDIA GPUs.
• Video quality improvement and enhanced coding efficiency to video codecs through bit depth expansion techniques and new low-delay B frame.
• Ability to offload work from the CPU to the GPU with the execute indirect extension NVIDIA API for quicker task completion.
• Ability to display the GPU serial number in the NV Control Panel on desktops for easier registration to the NVIDIA AI Enterprise and NVIDIA Omniverse Enterprise platforms.