Redshift is architected from the ground up to leverage the massive parallel processing power of multiple GPUs. As a biased renderer, it uses approximations and clever algorithms to achieve photorealistic results significantly faster than unbiased CPU renderers.
The renderer can efficiently handle scenes that exceed the available GPU video memory (VRAM) by intelligently swapping geometry and texture data between the GPU VRAM and the system RAM.
Provides a powerful, physically-based material system with a node-based editor for creating complex, layered shaders. It supports industry-standard PBR workflows, subsurface scattering, and hair shading.
Redshift's sampling system automatically concentrates computational effort on the noisiest parts of an image (like shadows and depth of field), while using fewer samples on clean areas.
Redshift is not a standalone application but is deeply embedded as a render engine within host Digital Content Creation (DCC) software like Cinema 4D, Maya, Houdini, 3ds Max, and Blender via dedicated plugins.
VFX studios use Redshift to render complex CGI elements like creatures, dynamic simulations (fire, water, smoke), and fully digital environments that must be integrated seamlessly with live-action footage. Its speed allows for multiple iterations per day on shots, which is crucial for meeting tight post-production schedules and director feedback. The ability to handle massive datasets with out-of-core rendering is essential for feature-film scale assets.
Motion design studios and advertising agencies rely on Redshift for creating high-quality 3D product visualizations, animated logos, and stylish broadcast graphics. The fast interactive preview (IPR) enables designers to experiment with different lighting, colors, and materials in real-time, leading to more creative exploration and faster client approvals. Quick turnaround for multiple versions of a commercial spot is a key benefit.
Arch viz artists and industrial designers use Redshift to create photorealistic renderings and animations of buildings, interiors, and products. Accurate global illumination and material response are critical for showcasing how designs will look under realistic lighting conditions. The render speed allows for creating extensive walkthrough animations and exploring many design options (e.g., different materials, furniture layouts, times of day) in a feasible timeframe.
Game studios utilize Redshift to produce high-fidelity cinematic trailers and in-game cutscenes that showcase their game worlds and characters. The GPU-accelerated workflow fits well into game development pipelines, often already GPU-centric. It allows for rendering cinematic-quality sequences much faster than real-time engines can achieve, providing a level of visual polish used for marketing and key story moments.
Animation studios working on character-driven content benefit from Redshift's advanced hair/fur and skin shading (subsurface scattering) capabilities. For projects involving large crowds of characters, Redshift's efficient instancing and memory management allow for populating scenes with thousands of unique agents without crashing or requiring impossibly long render times, making epic-scale animation feasible.
Sign in to leave a review
15Five operates in the people analytics and employee experience space, where platforms aggregate HR and feedback data to give organizations insight into their workforce. These tools typically support engagement surveys, performance or goal tracking, and dashboards that help leaders interpret trends. They are intended to augment HR and management decisions, not to replace professional judgment or context. For specific information about 15Five's metrics, integrations, and privacy safeguards, you should refer to the vendor resources published at https://www.15five.com.
20-20 Technologies is a comprehensive interior design and space planning software platform primarily serving kitchen and bath designers, furniture retailers, and interior design professionals. The company provides specialized tools for creating detailed 3D visualizations, generating accurate quotes, managing projects, and streamlining the entire design-to-sales workflow. Their software enables designers to create photorealistic renderings, produce precise floor plans, and automatically generate material lists and pricing. The platform integrates with manufacturer catalogs, allowing users to access up-to-date product information and specifications. 20-20 Technologies focuses on bridging the gap between design creativity and practical business needs, helping professionals present compelling visual proposals while maintaining accurate costing and project management. The software is particularly strong in the kitchen and bath industry, where precision measurements and material specifications are critical. Users range from independent designers to large retail chains and manufacturing companies seeking to improve their design presentation capabilities and sales processes.
3D Generative Adversarial Network (3D-GAN) is a pioneering research project and framework for generating three-dimensional objects using Generative Adversarial Networks. Developed primarily in academia, it represents a significant advancement in unsupervised learning for 3D data synthesis. The tool learns to create volumetric 3D models from 2D image datasets, enabling the generation of novel, realistic 3D shapes such as furniture, vehicles, and basic structures without explicit 3D supervision. It is used by researchers, computer vision scientists, and developers exploring 3D content creation, synthetic data generation for robotics and autonomous systems, and advancements in geometric deep learning. The project demonstrates how adversarial training can be applied to 3D convolutional networks, producing high-quality voxel-based outputs. It serves as a foundational reference implementation for subsequent work in 3D generative AI, often cited in papers exploring 3D shape completion, single-view reconstruction, and neural scene representation. While not a commercial product with a polished UI, it provides code and models for the research community to build upon.
