Topaz Labs
Model deployment
Precompiling hardware-specific AI models took weeks per update. On-device generation enabled lightweight, single-package deployments.
- 15-20% reduction in model run times for users
- 3-4x reduction in AI engine storage size
Disconnected video tools eroded agency margins. An AI orchestration layer unifies production and self-heals without human intervention.
A software-defined video production platform for media and advertising agencies, handling immense compute requirements to serve 22 million users.
Traditional video production relies on slow, hardware-dependent workflows and disconnected tools that erode agency margins. Furthermore, the immense...
“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.”
Generative AI platform for video content creation and character animation.
Provided infrastructure and technical expertise to build Higgsfield's training pipeline.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Higgsfield's Video production is part of this use case:
Related implementations across industries and use cases
Precompiling hardware-specific AI models took weeks per update. On-device generation enabled lightweight, single-package deployments.
Camera-shy executives and scheduling conflicts bottlenecked output. Avatars now generate video on demand without physical shoots.
Illness made filming impossible. A custom AI avatar now generates video from scripts, maintaining output on 30 minutes of daily work.
Spec ads took three weeks across separate systems. Gen-2 now generates full video from text, bypassing physical production.
Pitches meant static decks and locked footage. Teams now build video prototypes, iterating on digital twins without physical reshoots.
Security fears fragmented AI usage. Now, clear guardrails and automated Slack nudges empower teams to accelerate design and code reviews.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Disconnected video tools eroded agency margins. An AI orchestration layer unifies production and self-heals without human intervention.
A software-defined video production platform for media and advertising agencies, handling immense compute requirements to serve 22 million users.
Traditional video production relies on slow, hardware-dependent workflows and disconnected tools that erode agency margins. Furthermore, the immense...
“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.”
Generative AI platform for video content creation and character animation.
Provided infrastructure and technical expertise to build Higgsfield's training pipeline.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Higgsfield's Video production is part of this use case:
Related implementations across industries and use cases
Precompiling hardware-specific AI models took weeks per update. On-device generation enabled lightweight, single-package deployments.
Camera-shy executives and scheduling conflicts bottlenecked output. Avatars now generate video on demand without physical shoots.
Illness made filming impossible. A custom AI avatar now generates video from scripts, maintaining output on 30 minutes of daily work.
Spec ads took three weeks across separate systems. Gen-2 now generates full video from text, bypassing physical production.
Pitches meant static decks and locked footage. Teams now build video prototypes, iterating on digital twins without physical reshoots.
Security fears fragmented AI usage. Now, clear guardrails and automated Slack nudges empower teams to accelerate design and code reviews.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.