The GPUs, based on the NVIDIA Ampere architecture, provide all workstations with generative AI capabilities and real-time ray tracing.
The increasing standard of AI integration across design and productivity applications drives the demand for advanced computing performance. This means that regardless of their work’s size, complexity, or breadth, professionals and creatives will need to access more processing power.
The NVIDIA RTX A400 and NVIDIA RTX A1000 are two new desktop GPUs based on the NVIDIA Ampere architecture that NVIDIA is introducing to its RTX professional graphics lineup in response to this growing demand.
By increasing accessibility to AI and ray-tracing technologies, they give professionals the tools they need to revolutionize their everyday work processes.
A new era of creativity, performance, and efficiency
AI and faster ray tracing are new features added to the RTX 400 series GPUs with the RTX A400 GPU. It outperforms conventional CPU-based solutions with 24 Tensor Cores for AI processing, allowing experts to execute state-of-the-art AI applications, like copilots and intelligent chatbots, right on their desktops.
The GPU makes real-time ray tracing possible, enabling artists to produce incredibly realistic and colorful 3D renders that push the limits of creativity and realism.
The A400 also includes four display outputs, a first for the series. Because of this, it is perfect for high-density display situations, which are essential for sectors including banking, retail, transportation, and command and control.
For the first time, the RTX 1000 series GPUs now have Tensor Cores and RT Cores thanks to the NVIDIA RTX A1000 GPU, enabling professionals and creatives to achieve enhanced AI and ray-tracing performance.
The A1000 is a vast improvement over the previous generation, offering over three times quicker generative AI processing for tools like Stable Diffusion thanks to its 72 Tensor Cores. Furthermore, its 18RT Cores can triple the pace of graphics and rendering activities, which speeds up professional workflows like 4K video editing, product and architectural design, and 2D and 3D computer-aided design (CAD).
Video processing is another area where the A1000 shines; compared to the previous generation, it can handle up to 38% more encode streams and provide 2x quicker decode performance.
With a sleek, single-slot design and consuming just 50W, the A400 and A1000 GPUs bring impressive features to compact, energy-efficient workstations.
Expanding the reach of RTX
With these new GPUs’ advanced AI, graphics, and computing capabilities, users can unleash their creativity and increase productivity. With the availability of advanced workflows combining AI and ray-traced renders, experts may now push the boundaries of their work and produce astonishingly realistic results.
These new, potent, and energy-efficient computing solutions are useful for industrial planners’ edge deployments. To produce richer visual content, creators can accelerate rendering and editing speeds. Architects and engineers can seamlessly transition ideas from 3D CAD concepts into tangible designs.
Teams working in smart spaces can use the GPUs for real-time data processing, AI-enhanced security, and digital signage management in space-constrained locations. Healthcare professionals can achieve quicker, more precise medical imaging analyses.
Financial professionals have long used large, high-resolution visual workspaces to improve trading, analysis, and data management. The RTX A400 GPU’s native support for up to four 4K monitors allows financial services users to achieve a high display density with fewer GPUs, which simplifies setups and lowers costs. Next-generation features and accelerated performance
The NVIDIA RTX A400 and A1000 GPUs are equipped with features designed to supercharge everyday workflows, including:
Second-generation RT cores: real-time ray tracing, photorealistic, physically based rendering, and visualization for all professional workflows, including architectural drafting, 3D design, and content creation, where accurate lighting and shadow simulations can significantly enhance the quality of work.
Third-generation tensor cores accelerate AI-augmented tools and applications such as generative AI, image rendering denoising, and deep learning super sampling to improve image generation speed and quality.
Ampere architecture-based CUDA cores: up to 2x the previous generation’s single-precision floating-point throughput for significant graphics and compute workloads speedups.
4GB or 8GB of GPU memory: 4GB of GPU memory with the A400 GPU and 8GB with the A1000 GPU accommodate a range of professional needs, from basic graphic design and photo editing to more demanding 3D modeling with textures or high-resolution editing and data analyses. The GPUs also feature increased memory bandwidth over the previous generation for quicker data processing and smoother handling of more extensive datasets and scenes.
Encode and decode engines: With seventh-generation encode (NVENC) and fifth-generation decode (NVDEC) engines, the GPUs offer efficient video processing to support high-resolution video editing, streaming, and playback with ultra-low latency. The inclusion of AV1 decode enables higher efficiency and smoother playback of more video formats.