marketing artificial intelligence
Business Wire
Published on : Oct 16, 2026
Adobe and NVIDIA are expanding their collaboration to accelerate AI-powered creative production, cloud-based media search and personalised customer experiences, bringing together Adobe’s creative applications and customer experience software with NVIDIA’s accelerated computing and open AI models. The expanded partnership covers Photoshop, Premiere, Substance 3D, Frame.io and Adobe Brand Concierge.
Announced on October 15, 2026, the initiative includes support for NVIDIA’s RTX Spark computing platform in Adobe’s creative applications, GPU-accelerated media processing for Frame.io and optimisation of Brand Concierge with NVIDIA Nemotron open models. Adobe says the creative applications can deliver up to twice the performance for selected AI processing, editing, colour and effects workloads.
The announcement extends a strategic partnership unveiled in March 2026, which focused on combining Adobe’s creative and marketing workflows with NVIDIA’s AI models, software libraries and accelerated computing. The latest phase targets three connected business needs: helping creators work through complex media projects faster, making large content libraries easier to search and enabling brands to deliver more contextual digital customer interactions.
Adobe is optimising Photoshop, Premiere and Substance 3D to use the computing capabilities of NVIDIA RTX Spark, including its unified memory architecture and AI processing resources. The companies say the work is intended to reduce waiting time across demanding creative tasks and make AI-assisted workflows more responsive.
In Photoshop, Adobe has reworked compositing around GPU acceleration. The changes are designed to improve responsiveness for tasks such as removing unwanted elements with the Remove Tool and applying effects including Gaussian Blur and Light Leaks directly on the canvas.
Premiere is receiving acceleration across parts of its video and audio production pipeline, including playback, rendering, colour work and AI-powered tools. Adobe specifically highlights Enhance Speech and Object Mask as features that can benefit from the optimisation.
For 3D artists, Substance 3D Painter is being optimised to accelerate resource-intensive texturing operations. These improvements matter to production teams working across multiple formats, where image editing, video post-production and 3D asset development can all be part of the same campaign or content project.
The headline performance claim is up to two times faster processing for selected workloads. It is a vendor-reported maximum, not a guarantee that every feature, project or device will achieve the same improvement. Real-world gains will depend on workload characteristics and the underlying hardware and software configuration.
The partnership also targets a different bottleneck: processing and finding content in large cloud-based media libraries. Frame.io helps creative and production teams centralise media, collaboration and feedback. As libraries grow, the time required to decode uploaded video, prepare it for search and generate the data used for content discovery can slow review and reuse.
Adobe is updating Frame.io’s media pipeline with NVIDIA accelerated computing. The implementation uses NVIDIA NVDEC for hardware-accelerated video decoding, alongside NVIDIA TensorRT and CUDA for content preprocessing and embedding generation.
Embeddings are numerical representations of content that help search systems identify material by its meaning or characteristics, rather than relying only on filenames and manually entered metadata. Generating them more quickly can make newly uploaded media discoverable sooner and improve search responsiveness across extensive libraries.
Adobe reports the following early results from selected Frame.io transcoding and search workloads:
Approximately 5x faster embedding generation, potentially reducing the time required to make media searchable.
A 4–5x improvement in 95th-percentile processing latency (P95), a measure of performance for slower-running jobs.
An approximately 80% smaller search proxy, reducing the size of the representation used for search.
These figures are preliminary vendor-reported results from selected workloads, not universal performance guarantees. Adobe has not provided a complete independent benchmark, hardware configuration or detailed workload breakdown in the announcement. Production teams evaluating the change should therefore assess results against their own media formats, library sizes and processing requirements.
The expanded collaboration also extends into marketing and customer experience. Adobe and NVIDIA have optimised Adobe Brand Concierge with NVIDIA Nemotron open models, giving enterprise customers another model option for conversational digital experiences.
Brand Concierge is designed to help organisations provide personalised interactions grounded in their own content and business information. According to Adobe, the Nemotron-optimised version is expected to become available to enterprise customers later in 2026.
NVIDIA has also selected Brand Concierge to power contextual customer interactions on NVIDIA.com. The planned deployment illustrates how the partnership extends beyond creative production software into brand-owned digital experiences, where businesses want responses to reflect customer needs and organisational information.
For marketing teams, model choice can affect deployment flexibility, response performance and the way AI experiences are adapted to enterprise requirements. However, the announcement does not disclose comparative response-quality benchmarks, deployment costs or quantified customer outcomes for Brand Concierge.
Creative and marketing technology providers are competing to make generative and agentic AI practical within existing enterprise workflows. This requires more than adding a conversational interface: applications must also process large media files, access relevant context and execute complex operations with acceptable performance.
Adobe’s approach combines optimisation at several layers. RTX Spark targets local creative workloads, GPU acceleration supports cloud media processing, and Nemotron provides a model option for conversational customer experiences. The strategy reflects the increasingly interconnected nature of content production and customer engagement.
For creative operations leaders, processing speed is only one part of the equation. Teams also need consistent asset management, searchable libraries, collaboration tools and reliable handoffs between production stages. Faster indexing can help teams find reusable footage and other assets, while application-level acceleration may reduce delays during editing and rendering.
In marketing, Brand Concierge addresses a related but distinct challenge: using organisational content to support relevant digital interactions. Its performance and usefulness will depend on content quality, integration with business systems, governance and the accuracy of generated responses.
The expanded partnership points to an infrastructure-led approach to enterprise AI. Rather than relying on a single model or feature, Adobe and NVIDIA are combining hardware acceleration, software libraries, creative applications and conversational AI to address different stages of the content lifecycle.
The next test is measurable operational value. Creative teams should benchmark rendering and editing times on representative projects. Production operations teams can monitor media ingestion, indexing latency and search success. Marketing leaders evaluating Brand Concierge should assess response accuracy, relevance, escalation paths and the cost of delivering interactions at scale.
Availability is another consideration. Adobe describes the Brand Concierge version optimised with Nemotron as planned for later in 2026, while the announcement does not provide a complete rollout schedule for every application optimisation. Organisations should confirm hardware requirements, supported versions and deployment timelines before planning upgrades.
Ultimately, the partnership’s significance lies in connecting performance improvements to broader workflows. Faster individual operations can help, but enterprise impact will depend on how reliably those gains translate into shorter production cycles, better content reuse and more useful customer experiences.
Creative application acceleration: Adobe says RTX Spark optimisation can deliver up to twice the speed for selected AI, editing, colour and effects workloads across Photoshop, Premiere and Substance 3D.
Faster media discovery: Frame.io’s updated NVIDIA-powered pipeline reports approximately fivefold faster embedding generation, helping production teams make uploaded content searchable sooner.
Cloud processing efficiency: Early tests show a 4–5x improvement in P95 processing latency and an approximately 80% smaller search proxy for selected workloads.
AI-powered customer experiences: Brand Concierge’s Nemotron optimisation expands the collaboration from creative production into personalised, content-grounded digital customer interactions.
Enterprise adoption requires validation: Creative and marketing teams should test real workloads, confirm rollout timelines and measure productivity, search quality and customer experience outcomes before scaling.
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