Buying hardware for 10x overnight spikes was risky. On-demand GPUs now absorb volatility, enabling same-day scaling.
A high-performance generative media platform serves over 100,000 developers and 300 million end users, having generated more than 4 billion video and image assets to date.
New AI models launch constantly with unpredictable demand patterns, sometimes spiking capacity requirements 10x overnight. Relying solely on custom...
“Most GPU providers just want to sell you what they have. Together AI actually listens to what we need, which is critical when you're navigating the chaos of constant model launches. This flexibility is what enables us to maintain the lowest pricing in the industry.”
Developer API for high-performance generative AI image and video models.
AI-native cloud platform for training, fine-tuning, and deploying open-source models.
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.
Complexity kept AI prototypes in the lab. Now, teams launch compliant apps in under one hour using a managed platform.
Stitching disjointed clips limited realism. Now, conversational AI generates fluid dialogue flows, boosting subscriptions 20%.
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.