4-minute generation times blocked real-time scaling. A GPU architecture cut this to <1 min, producing 1 million videos in 3 hours.
A generative AI platform enables clients ranging from individual real estate agents to global sports franchises to mass-produce hyper-personalized video messages.
The initial system took up to 4 minutes to generate a single video, creating unacceptable friction for a new self-serve model where consumers create...
“Amazon SageMaker helped us host multi-model endpoints without a high cold-start latency of 5−6 minutes. Now, we can serve multiple content requests within 30−40 seconds and scale without much engineering effort.”
AI platform for creating personalized videos and synthetic avatars at scale.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Cloud negotiations took weeks while usage tripled. Migrating to optimized H100s cut costs 60% and sped up inference 3x.
Video creation took weeks. Now, GenAI on specialized silicon renders enterprise-grade videos in 30 seconds.
Massive models were too slow to scale. Moving to H100 inference cut latency by 50% and slashed costs by 4x.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.