NVIDIA Blackwell Architecture: A Revolution in Graphics, Studio Workloads, and AI

The Blackwell architecture represents a significant step forward in NVIDIA graphics technology, covering three key areas of application: gaming, studio workloads, and artificial intelligence. Let's look at each area in detail, highlighting the unique technologies and advantages of the architecture. 

Video cards series Blackwell are already available for sale. A reliable partner for their delivery is the online store Telemart, offering a wide range of NVIDIA GeForce RTX 50-series models, including both gaming and professional solutions.

For testing we used a video card MSI GeForce RTX 5080 16G GAMING TRIO OC, which handled all the tasks flawlessly. This powerful graphics card not only provides access to all the advanced technologies we talked about earlier, including NVIDIA Blackwell architecture, improved graphics and Ray Tracing support, but also demonstrates exceptional performance in gaming and professional applications. MSI GeForce RTX 5080 16G GAMING TRIO OC became a key component that allowed us to fully appreciate all the advantages of the new platform.

Gaming

Ray Tracing

NVIDIA's Blackwell architecture revolutionizes ray tracing by introducing 4th-generation RT cores. These cores are optimized to improve accuracy and speed of calculations. The new RT cores make it possible to calculate significantly more rays simultaneously, which leads to a noticeable increase in performance in complex scenes rich in reflections and dynamic lighting. Additionally, the implemented algorithms for intelligent noise filtering make it possible to achieve almost perfect clarity of reflections and shadows without the need for significant computing resources. Improvements also affected the BVH (Bounding Volume Hierarchy) acceleration mechanism, thanks to which RT cores more quickly identify intersections of rays and scene objects, minimizing latency and ensuring smoothness and stability of the gameplay even in the most demanding scenarios.

Path Tracing

Technology Path Tracing has received significant improvements thanks to the Blackwell architecture. The main advantage is the ability to accurately simulate the physically correct behavior of light, covering all the nuances of its propagation, including reflections, refractions, global illumination and subsurface scattering. Thanks to the implementation of new algorithms and optimization of the processing process Path Tracing, Blackwell delivers outstanding results even in extremely demanding games, providing users with an unprecedented level of visual realism without significant performance loss. The architecture now allows for more traced paths to be calculated per unit of time, resulting in a noticeable improvement in image quality and realism, especially when using high-quality textures and complex lighting effects.

RTX Mega Geometry

Technology RTX Mega Geometry designed to efficiently process ultra-high-density geometric data. In architecture Blackwell methods implemented dynamic geometry compression, allowing you to save the smallest details of objects with minimal memory load. The key feature is the automatic system LOD, which adapts to the capabilities of a specific video card, providing smooth transitions between levels of detail and eliminating visual artifacts.

In practice, the technology has already demonstrated itself in Alan wake 2, where it is used to generate vast natural landscapes and urban development. During tests at 1440p with Mega Geometry enabled, visual scenes in the forest and on the streets impress with their detail: trees, road surfaces and stone facades are rendered without LOD breaks and without noticeable quality jumps. This is especially noticeable in dynamics - when changing angles or moving the camera, there are no usual "loadings" of geometry.

In addition, a new system has been integrated into Blackwell geometry caching, which reduces the load on video memory and the bus. In the same scenes with Mega Geometry, the VRAM usage was lower than expected, and the performance was stable even in intensive scenes with ray tracing. This makes the technology not just a demonstration of capabilities, but a real tool for creating large-scale and detailed worlds without compromising FPS.

RTX Skin RTX Skin

Architecture Blackwell places special emphasis on realistic visualization human skin in games. Technology RTX Skin uses advanced algorithms subsurface scattering (SSS), which allows for realistic rendering of halftones, textures and color transitions. Unlike previous implementations, the system now takes into account not only the main light, but also contextual lighting changes — including the influence of the environment and reflected light from other surfaces.

Particular attention is paid adaptive algorithms, which adjust the intensity and depth of light scattering under the skin in real time. This allows for correct display even when conditions change abruptly, such as when moving from sunny areas to shade or when using cold directional light sources. The effect is especially noticeable in close-up scenes where micro-details of skin texture are important, such as pores, blood vessels, and tonal transitions.

The first practical application of RTX Skin can be seen in Half-Life 2 RTX Remaster, where the technology is used to update the faces of the main characters. In cutscenes and dialogue, you can see how the skin reacts to lighting from lanterns, sunlight, or glowing screens. This level of photorealism makes the old game look more modern and highlights the potential of RTX Skin in next-gen cinematic projects.

DLSS 4 with Frame Generation and Multi-Frame Generation

DLSS-4 represents a major technology upgrade Deep Learning Super Sampling from NVIDIA, announced at the same time as the architecture Blackwell and video cards of the series GeForce RTX 50. The main innovations were the use of transformer models and integration Multi Frame Generation, which achieves a significant increase in performance and a dramatic improvement in visual quality - especially in dynamic scenes and at high screen resolutions.

The new frame generation system can now take into account not only the current and previous frames, but also the spatial-temporal dependencies between multiple rendering segments, which minimizes artifacts and improves image clarity. DLSS 4 also uses a more complex neural network architecture that allows it to adapt to a specific game and scenario, providing more stable results.

All key components of DLSS 4 - including transformer, Multi Frame Generation and adaptive settings - will be tested in detail in separate article, where we will analyze in detail how the technology works in real games, what modes are available, and how much they differ from DLSS 3.5. This will allow you to clearly assess whether the new generation of technology justifies the declared improvements.

Unlike previous versions of DLSS, which used convolutional neural networks (CNNs), DLSS 4 uses a transformer model similar to those used in modern language models such as ChatGPT. This model is able to analyze the importance of each pixel both within a single frame and between multiple frames, which allows us to achieve:

• Increased image stability: Reduces flickering and motion artifacts.

• Reduced ghosting effect: clearer display of moving objects.

• Improved anti-aliasing: smoother and more realistic edges of objects.

These improvements are particularly noticeable in ray-traced scenes, where the new Transformer model provides more accurate ray tracing and increases the realism of lighting and reflections.

Technology Multi Frame Generation DLSS 4 allows up to three additional frames to be generated for every traditionally rendered frame, resulting in a significant increase in frame rate without significantly increasing the load on the GPU. This is achieved by using an additional neural network model that predicts transitions between frames, improving temporal consistency and reducing artifacts.

It is important to note that Multi Frame Generation is an exclusive feature of GeForce RTX 50 series graphics cards and is not available on previous generations.

DLSS 4 uses fifth-generation Tensor Cores optimized for Transformers models. This achieves:

• Reduced video memory usage: For example, in the game Warhammer 40,000: Darktide, the savings are up to 400 MB at 4K resolution.

• Increase in productivity: In some cases, frame rates are seen to increase by up to eight times compared to traditional rendering.

Additionally, DLSS-4 provides more smooth and stable gameplay with minimal delay, which is especially critical for dynamic projects. At the start, the technology is supported in over 100 games and apps, including titles such as Alan wake 2, Cyberpunk 2077, Indiana Jones and the Great Circle и star wars outlaws. The our tests On the RTX 5090, DLSS 4 showed a clear increase: the image quality with the new transformer model has noticeably improved by eye — jagged edges disappear, fine details are stabilized, and frames look cleaner even when moving.

We were particularly impressed by the technology. Multi Frame Generation — in some scenes we recorded over 500 FPS in 1440p with maximum settings and active ray tracing. Such a result previously seemed impossible without a severe reduction in quality. However, it is important to understand: To get the best MFG effect, you need to achieve a stable 50-60 FPS before activating DLSS, otherwise the algorithm works less efficiently. We recommend slightly adjusting the graphics settings first - for example, reducing the quality of shadows or reflections - to provide the necessary "base", after which turning on DLSS 4 will give the maximum boost.

As a result, DLSS 4 doesn't just increase performance in games - it really changes the perception of smoothness and makes even the most demanding scenes visually stable, clear and responsive.

Increased energy efficiency and optimization

An important aspect of gaming on the Blackwell architecture is the significant improvement in energy efficiency and resource optimization. Thanks to an advanced power management system and dynamic load redistribution between RT, CUDA and tensor cores, Blackwell-based graphics cards offer a high level of performance with relatively low power consumption. This allows users to enjoy maximum graphics settings without worrying about overheating or excessive power consumption, which is especially important in compact gaming systems and laptops. Blackwell also supports improved mechanisms for dynamically changing clock frequencies and voltages, allowing you to effectively adapt to current application requirements and operating conditions.

Support for next generation VR and AR

Blackwell opens new horizons in the field of virtual and augmented reality. Technological improvements implemented in this architecture provide support for high resolutions and increased frame rates required for comfortable immersion in virtual worlds. Optimized image processing and latency reduction technologies make virtual and augmented realities much more realistic and responsive, minimizing discomfort issues and improving the user experience. In addition, Blackwell integrates special algorithms to improve the accuracy of positioning and sensor data processing, which further improves immersion and comfort in VR and AR. 

Studio tasks

FP4 and 4:2:2 format support

The Blackwell architecture brings significant improvements to video content processing with the introduction of new FP4 cores, which provide the highest precision of floating-point calculations. These cores are critical for professional studios involved in complex editing, color correction, and special effects. The 4:2:2 color subsampling format, supported at the hardware level, allows for the most realistic and accurate color reproduction. This is especially important in post-production, where the accuracy of color shades directly affects the quality of the final product. In addition, hardware support for HDR and extended color spaces such as DCI-P3 and Rec.2020 was implemented, which opens up the opportunity for studios to create content with deep and rich colors suitable for the most modern displays and cinema screens.

Accelerate creative applications

One of the key benefits of the Blackwell architecture is specialized hardware acceleration for popular creative applications such as Adobe Premiere Pro, After Effects, DaVinci Resolve, Blender, Cinema 4D and Autodesk Maya. New CUDA cores and optimized drivers significantly accelerate the processing of effects, compositing, XNUMXD modeling and rendering of complex scenes. Thanks to this, the time spent on workflows is significantly reduced, and creative teams can implement their projects faster and more efficiently. The processing of neural network filters and artificial intelligence algorithms in these applications has also been significantly improved, allowing for the easy application of modern effects and automated solutions.

Encoders and decoders

The Blackwell architecture includes significantly improved hardware NVENC encoders and NVDEC decoders that support the latest video compression and decompression standards such as AV1, HEVC and H.264. This is critical in studio environments where simultaneous processing of multiple streams of high-quality video content in real time is required. The high performance of the encoders allows studios to broadcast in ultra-high resolutions (4K, 8K) without delays and quality losses. NVDEC, in turn, provides instant decoding of video materials for editing and preview, minimizing downtime and increasing the productivity of studio employees.

Optimizing rendering time

Significant improvements in the Blackwell architecture also affected the rendering process of 3D scenes and video content. Thanks to the optimization of the CUDA and RT cores, the architecture provides a significant reduction in the rendering time of complex scenes with a high level of detail and realism. This allows creative studios to get the finished result faster, quickly make edits and speed up production cycles. An improved algorithm for balancing the load between GPU and CPU, which allows for maximum efficient use of hardware resources and reduced overall processing time.

Energy efficiency and reliability

For professional studios, energy efficiency and stability of hardware are of utmost importance. Blackwell architecture demonstrates outstanding energy efficiency thanks to intelligent power management, which reduces power consumption and heat generation during intensive data processing tasks. The reliability of the architecture is supported by high-quality components and improved thermal management, which significantly extends the life of the equipment and ensures uninterrupted operation in long and complex studio projects.

Support for collaboration and cloud technologies

Blackwell architecture is also integrated with cloud solutions and collaboration technologies. Thanks to optimized mechanisms for data transfer and processing in the cloud, creative teams can efficiently share content, work remotely and make changes to joint projects in real time. This significantly increases the flexibility of studios and opens up new opportunities for remote collaboration and rapid response to customer and market demands. 

Artificial Intelligence

Local AI Applications

The Blackwell architecture offers significant improvements for local AI applications thanks to its advanced next-generation Tensor Cores. These cores are specifically optimized for deep learning, neural inference, and real-time processing of large amounts of data. As a result, users are able to run complex neural network models directly on their devices without the need for cloud computing, which helps minimize latency and improve the privacy of the information being processed.

With local AI applications powered by Blackwell, it becomes possible to use neural network algorithms for image processing, speech recognition, and automated data analysis on consumer devices. For example, photographers and designers can apply algorithms for automatic correction, stylization, and restoration of images right on the job, significantly accelerating the creative process. For video game developers, local AI provides advanced mechanisms for content generation and adaptive behavior of virtual characters, making the gaming process more realistic and immersive.

Neural Inferencing Modules (NIM)

The Blackwell architecture includes Neural Inferencing Modules (NIMs), which enable developers and users to quickly integrate pre-trained neural network models into their applications and systems. NIMs greatly simplify the neural inference process, as they are optimized for fast data processing and have minimal computational requirements. These modules can be effectively used in tasks such as image, object and face recognition, automatic video captioning and analysis, as well as in various computer vision scenarios.

Using NIM, companies can significantly reduce the time it takes to develop and integrate AI solutions into their products, minimize staff training costs, and bring innovative solutions to market faster. In addition, thanks to the optimized operation of these modules, energy costs are significantly reduced and the service life of hardware components is increased.

Blueprints for AI Development

One of the key innovations of the Blackwell architecture is the Blueprints system, which simplifies the process of creating and deploying neural network applications. Blueprints is a convenient visual programming tool that does not require deep knowledge of neural networks and machine learning. Thanks to the intuitive interface, users can create AI applications by setting only the necessary parameters and connections between neural network modules.

This allows not only speed up application developmentbut expand the circle of users, capable of implementing solutions based on artificial intelligence. blueprints is equally well suited for small teams and large organizations that need to quickly integrate AI tools into areas manufacturing, retail, medicine and education.

Already available first free drawings, demonstrating the practical application of the system. One of the striking examples is the creation of realistic 3D scenes from simplified renders: the user can take a basic 3D model and in a matter of minutes turn it into a photorealistic scene with lighting, shadows and textures that are easily edited and adapted to the needs of the project. This is especially valuable for designers, architects and developers who need to quickly visualize concepts without complex manual adjustments. A video demonstration of the capabilities can be viewed here.

Energy efficiency and productivity

AI tasks The Blackwell architecture also places great emphasis on energy efficiency and performance in AI tasks. With intelligent power management and dynamic load balancing between Tensor Cores and CUDA cores, Blackwell delivers high performance with minimal power consumption. This is especially important for portable and mobile devices, where efficiency and battery life are critical.

The high performance of the architecture enables the implementation of more complex and advanced AI algorithms, increased accuracy and speed of neural inference, and efficient multitasking. This makes Blackwell an ideal solution for both professional applications that require intensive data processing and for everyday use in consumer devices and smart systems.

Integration with cloud AI solutions

Despite its focus on local computing, Blackwell’s architecture also supports tight integration with cloud AI platforms. This allows users to effectively combine the power of local and cloud AI, optimizing the performance and scalability of their applications. This allows companies to easily implement hybrid solutions that best meet their needs and market requirements, while maintaining a balance between data processing speed and data security. 

Solutions

The NVIDIA Blackwell architecture graphics card line covers a wide range of solutions, meeting the diverse needs of gamers, professionals, and corporate users. This review provides a detailed look at the key models and their technological features.

Gaming video cards

The flagship of the gaming line is the GeForce RTX 5090 model, equipped with the GB202 graphics processor with 24 CUDA cores. This video card has 576 GB of GDDR32 memory with a record bandwidth of 7 GB / s, providing unrivaled performance in the most demanding games, including support for high-quality Ray Tracing and Path Tracing.

The next model up, the GeForce RTX 5080, is based on the GB203 GPU and offers 10 CUDA cores and 752GB of GDDR16 memory, making it suitable for high-end gaming and streaming. The GeForce RTX 7 Ti and RTX 5070 offer the best balance between price and performance, delivering solid 5070K and 4p gaming.

The GeForce RTX 5060 Ti and RTX 5060 are aimed at a broader audience focused on Full HD and 1440p gaming, offering 8GB to 16GB of memory and enough performance for modern games at moderate settings.

Professional video cards

The RTX PRO lineup consists of the RTX PRO 6000, RTX PRO 5000, RTX PRO 4500, and RTX PRO 4000. The RTX PRO 6000 is the top-of-the-line solution, offering 24 CUDA cores and 064 GB of GDDR96 memory with a bandwidth of 7 GB/s, designed for the most complex workloads in graphic design, video editing, and AI.

Server and data center solutions

NVIDIA also unveiled Blackwell-based server and data center solutions, including the GB200 Grace Blackwell Superchip, designed for high-performance computing and running large AI language models. The B200 and B100 models offer the power and scalability needed for intensive scientific computing, data science, and AI.

Conclusion NVIDIA Blackwell architecture is represented by various solutions covering all market segments: from enthusiasts and professionals to corporate clients. Each representative of the line has unique capabilities and technical characteristics, maximally optimized for specific user tasks. 

Сonclusion

Architecture NVIDIA Blackwell is a significant technological breakthrough, covering three key application areas: gaming, professional studio tasks и Artificial Intelligence. Thanks to the implementation of advanced RT cores, technologies Path Tracing, RTX Mega Geometry и RTX Skin, Blackwell radically improves visual quality and realism in games, giving users unprecedented levels of immersion and detail.

In studio applications, the architecture delivers outstanding performance thanks to specialized cores FP4, extended support for video formats 4:2:2 and improved hardware encoders and decodersThese innovations significantly speed up the editing, color correction, rendering and visualization processes, providing professionals with powerful tools for creating high-quality content in a short time frame.

In terms of artificial intelligence, Blackwell offers innovative solutions with new tensor cores, Neural Inferencing Modules (NIM) and a visual programming system blueprintsThese technologies simplify the development and deployment of neural network models on local devices, providing high performance, energy efficiency, and advanced AI applications across a wide range of domains.

A common technological achievement is the introduction DLSS-4 with the model transformer и Multi Frame Generation, which significantly improves image quality and performance in games and professional applications.

Finally, architecture NVIDIA Blackwell is a comprehensive solution that can satisfy the needs of the most demanding users and open up new horizons for the development of modern graphic, studio and AI applications. Already now video и Laptops based on Blackwell can be purchased in the store Telemart. Available for sale both the flagship NVIDIA GeForce RTX 5090 and RTX 5080 models, as well as gaming laptops, including ASUS ROG Zephyrus G16 and others.