Media and Entertainment
Higgsfield Scales Professional Video Production With NVIDIA AI
Image courtesy of Higgsfield
Objective
Higgsfield is accelerating professional-grade generative video production with the NVIDIA full-stack accelerated computing platform, enabling millions of creators and brands to produce cinematic content at unprecedented speed and scale while maintaining enterprise reliability and control. The company is building an AI-native video production platform for media, entertainment, and advertising teams that treats video as the core medium for modern brand communication. By building on the NVIDIA Accelerated Computing platform across training and inference, Higgsfield delivers a unified, software-defined studio environment that combines high-fidelity visuals, professional controls, and the ability to support millions of users simultaneously.
Customer
Higgsfield
Partner
Nebius
Topic
Content Creation / Rendering
Key Takeaways
Massive Production Scale, Powered by Blackwell
- By migrating to NVIDIA Blackwell and Blackwell Ultra on Nebius AI cloud and other NVIDIA Cloud Partners (NCPs), Higgsfield reduced model training time by 30%, unlocking support for 22 million users and over 6 million pieces of AI-generated content per day.
Infrastructure Reliability Through NVSentinel
- Higgsfield leverages NVIDIA NVSentinel and DCGM for granular observability and automated self-healing, allowing their global inference infrastructure to recover from issues without human intervention.
Advanced Creative Control via NVIDIA Acceleration
- The platform utilizes NVIDIA® CUDA® libraries, NVIDIA Collective Communications Library (NCCL), and NVIDIA InfiniBand networking to orchestrate its proprietary SOUL 2 video generation models alongside industry leaders like Veo, providing creators with professional-grade cinematic controls and 1,296 virtual camera lenses.
Tackling Production Complexity and Real-Time Demand
Higgsfield is building for a future where video is the default format for brand communication, replacing slow, project-based production with continuous content operations that offer studio-grade capabilities without high upfront costs. Since its launch in April 2025, Higgsfield's platform has already scaled to 22 million users, powering over 6 million pieces of content per day. The introduction of this AI-native infrastructure integrates professional controls for camera and lighting with the world's leading generative models, creating a comprehensive production format that fits seamlessly into the workflows of agencies and marketing organizations.
The Higgsfield platform represents the next generation of software-defined video technology. Unlike traditional hardware-dependent broadcast or film workflows, this platform enables dynamic, real-time customization at every stage of the creative process. By utilizing proprietary models alongside industry leaders like Veo and Kling, Higgsfield ensures that no creative detail is lost, while giving broadcasters and brands the flexibility to adapt content on demand.
To solve industry-wide fragmentation where teams juggle disconnected tools that erode margins, Higgsfield built a collaborative orchestration layer that turns experimental generative models into reliable, repeatable commercial output. Achieving this level of scale required a robust infrastructure capable of maintaining speed, quality, and cost efficiency while generating millions of assets.
Higgsfield Cinema Studio enables users to generate long-length, cinematic video with production-grade elements at the touch of a button.
Building a Scalable, High-Performance Infrastructure
The NVIDIA Accelerated Computing platform has been instrumental in addressing these scaling challenges. By utilizing Nebius and other NCPs, Higgsfield built a scalable, high-performance infrastructure that handles long-context AI training and inference workloads.
As a co-engineering collaborator, Nebius provided the high-performance infrastructure and technical expertise necessary to build a training pipeline that remained stable under sustained loads. This enabled Higgsfield to solve complex distributed training challenges and achieve one of the fastest scale-ups in the generative AI application layer. Scalable AI infrastructure powered by NVIDIA GPUs, NVIDIA Quantum InfiniBand, and NVIDIA Collective Communications Library (NCCL) ensures optimized performance across the entire software-defined stack.
Higgsfield employs a range of NVIDIA technologies to optimize its cloud-based production environment, transitioning to the NVIDIA Blackwell platform, specifically NVIDIA HGX™ B200 and HGX B300 systems, to significantly improve model training speed and complexity. For maintaining the health of their massive inference workloads, they rely on open source software, including NVSentinel and NVIDIA Data Center GPU Manager (DCGM), which provide the granular observability required to monitor millions of daily video generations. These tools enable a self-healing infrastructure that recovers from technical issues without human intervention, allowing the engineering team to focus on innovation rather than maintenance.
Faster Development, Lower Costs, and Enhanced Creativity
By leveraging the NVIDIA Blackwell platform, training iterations for their text-to-image SOUL and SOUL 2 models were reduced 30%, accelerating their time to market. This approach empowers creators with more sophisticated tools, including 1,296 camera lenses and cinematic parameters, enabling richer content production without the typical hardware constraints of legacy systems.
Solving these challenges has profound implications for the advertising industry. New revenue streams are being introduced through performance-aware tooling that connects creative generation directly to media results.
For AI-native advertisement agencies like Secret Level, the platform has compressed production cycles from weeks to days, allowing them to replace fragmented multi-tool pipelines with a streamlined, operationalized workflow. As global brands like Qatar Airways move from test clips to published campaigns, it signals a structural shift where AI-generated content is becoming a standard part of the professional production mix.
"Generative video remains one of the most complex challenges in applied AI. Given the immense compute requirements, even minor inefficiencies become costly when executing millions of generations daily. Migrating to NVIDIA Blackwell and partnering with Nebius have been instrumental in our ability to meet demand. Training speeds have improved significantly, and our systems maintain stability at a scale that would have been hard to imagine a year ago."
Alex Mashrabov
CEO and Co-Founder, Higgsfield
The Next Phase of AI-Native Production
Higgsfield's next phase focuses on fully operationalizing generative AI through a completely orchestrated production environment. This evolution deepens integration of leading third-party models into a single workflow, giving teams more granular creative controls and consistent results across complex campaigns. To meet the demands of global brands and large agencies, Higgsfield is strengthening its enterprise foundation with advanced governance, richer analytics, and tighter cost controls. By pairing this with performance-aware tooling that links creative generation directly to media outcomes, the company aims to accelerate testing and optimization cycles so future video production becomes both more efficient and more effective.
Learn more about the NVIDIA Accelerated Computing platform for AI training and inference.
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