Cloud negotiations took weeks while usage tripled. Migrating to optimized H100s cut costs 60% and sped up inference 3x.
A generative AI platform serving millions of videos monthly, with compute needs that grew 300x to support viral content across TikTok and Instagram.
Usage often triples overnight due to viral trends, but standard cloud providers required weeks for capacity negotiation rather than instant scaling....
“It's not like we can take Llama and just fine tune it. We have to go out and build net new things.”
Generative media platform for AI video, audio, and image creation.
AI-native cloud platform for training, fine-tuning, and deploying open-source models.
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Video creation took weeks. Now, GenAI on specialized silicon renders enterprise-grade videos in 30 seconds.
4-minute generation times blocked real-time scaling. A GPU architecture cut this to <1 min, producing 1 million videos in 3 hours.
Systems choked at two users, taking five minutes per request. AI now generates 30 videos in two minutes, scaling to tens of thousands.
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.