Constructed on the NVIDIA Ampere architecture, the GPUs provide generative AI tools support and real-time ray tracing to all workstations.
Demand for enhanced computing performance is being driven by the increasing standard of AI integration across design and productivity applications. It follows that regardless of the size, complexity, or range of their work, professionals and creatives will need to access more processing power.
NVIDIA is adding two desktop NVIDIA Ampere architecture-based GPUs, the Nvidia RTX A400 and Nvidia RTX A1000, to fulfil this growing demand.
They enable professionals to transform their workflows with AI and ray-tracing technologies.
A Novel Phase of Originality, Achievement, and Effectiveness
AI and faster ray tracing are new features for the RTX 400 series GPUs with the RTX A400 GPU. Professionals can operate state-of-the-art AI applications, such intelligent chatbots and copilots, directly on their desktops thanks to its 24 Tensor Cores for AI processing, which outperforms conventional CPU-based solutions.
With real-time ray tracing provided by the GPU, artists can produce incredibly realistic and colourful 3D renderings that push the limits of creativity and realism.
Four display outputs are also included in the A400, a first for its series. This makes it appropriate for high-density display environments in financial services, command and control, retail, and transportation.
First-ever Tensor Cores and RT Cores in the RTX 1000 series GPUs enable creatives and professionals to speed AI and ray-tracing.
Offering a significant improvement over the previous version with 72 Tensor Cores, the Nvidia RTX A1000 provides over 3 times quicker generative AI processing for tools such as Stable Diffusion. Additionally, its 18 RT Cores accelerate professional workflows including 2D and 3D computer-aided design (CAD), product and architectural design, and 4K video editing by up to three times for graphics and rendering activities.
In terms of video processing, the Nvidia RTX A1000 is even more impressive than the previous generation, capable of managing up to 38% more encode streams and providing 2x quicker decode performance.
The A400 and Nvidia RTX A1000 GPUs are compact, energy-efficient workstation GPUs that offer remarkable features in a single-slot, elegant form that only requires 50W of power.
RTX’s Extended Reach
With the advanced AI, graphics, and computing capabilities of these latest GPUs, users can unleash their creativity and increase productivity. Professionals may now push the limits of their work and achieve astounding levels of realism with the availability of advanced workflows incorporating ray-traced renderings and AI.
These new powerful and energy-efficient computing technologies can be used by industrial planners for edge deployments. In order to generate more visually rich material, creators can accelerate editing and rendering times. Engineers and architects are able to convert ideas from 3D CAD conceptions into concrete designs with ease. GPUs can be used by teams operating in smart environments for space-constrained digital signage management, AI-enhanced security, and real-time data processing. Additionally, medical imaging analyses can be completed more quickly and accurately by healthcare experts.
Wide-ranging, high-resolution visual workspaces have long been a tool used by financial professionals to improve trading, analysis, and data management. Financial services users may now achieve a high display density with fewer GPUs, simplifying their setups and cutting costs, thanks to the RTX A400 GPU’s native support for up to four 4K screens.
Nvidia RTX A1000 GPU
Future-Generation Functionalities and Enhanced Efficiency
Features like the following are built into the NVIDIA RTX A400 and Nvidia RTX A1000 GPUs to enhance daily workflows:
Second-generation RT Cores
Photorealistic, physically based, real-time ray tracing rendering and visualisation for all professional workflows, such as 3D modelling, content production, and architectural drafting, where precise lighting and shadow simulations can significantly improve the quality of work.
Third-generation Tensor Cores
Increase the speed and quality of picture synthesis by accelerating AI-augmented tools and applications like generative AI, image rendering denoising, and deep learning super sampling.
Ampere architecture-based CUDA cores
Yield notable speedups in graphics and computation applications, with up to twice the single-precision floating point throughput of the preceding generation.
Nvidia RTX A1000 4GB graphics
GPU memory of either 4GB or 8GB
Professional demands ranging from simple graphic design and photo editing to more complex 3D modelling with textures, high-resolution editing, and data analysis are supported by the 4GB of GPU RAM with the A400 GPU and the 8GB with the Nvidia RTX A1000 GPU. In order to process data more quickly and handle bigger datasets and scenes more smoothly, the GPUs have more memory bandwidth than the models from the previous generation.
Encode and decode engines
The GPUs’ seventh-generation encode (NVENC) and fifth-generation decode (NVDEC) engines provide effective video processing, enabling ultra-low latency high-resolution video editing, streaming, and playback. Higher efficiency and more fluid playing of a wider variety of video formats are made possible by the inclusion of AV1 decode.
Availability of Nvidia RTX A400 and Nvidia RTX A1000
Global distribution partners including PNY and Ryoyo Electric are now offering the NVIDIA RTX A1000 GPU for purchase. Channel partners should start selling the RTX A400 GPU in May, and manufacturers should start selling it in the summer.
Nvidia RTX A1000 price
The Nvidia RTX A1000 is found in pre-built workstations from different manufacturers rather than being supplied directly by Nvidia. What we can determine about the cost is as follows:
- Estimated range: The workstations with RTX A1000 graphics cards often cost between $1,500 and $3,000 USD, according to ads. (Source 1: [URL not found] 2: ([incorrect URL deleted])
- The configuration determines the price: The workstation’s total requirements, which include the CPU, RAM, storage, and other parts, will determine the ultimate cost.
