Fragmented infrastructure slowed experimentation. Migrating audio models to AWS Trainium cut training costs 54% and time by 50%.
An Australian music and gaming startup enables users to create full songs by humming a tune, rather than relying on standard text-to-audio prompts.
A lean engineering team struggled with fragmented infrastructure that slowed down experimentation cycles for their generative audio models. They...
“We wanted the robustness of AWS compute instances, but also a single solution for hosting, APIs, deployment, and security. AWS gave us that. We wanted to spend less time managing infrastructure and more time building features.”
AI music creation platform and interactive virtual performance space for gaming.
Cloud computing platform and on-demand infrastructure services.
Splash Music's Generative music creation is part of this use case:
Related implementations across industries and use cases
Dedicated servers sat idle between training runs. Now, engineers spin up compute on demand, eliminating costs for inactive time.
Model tuning took weeks, slowing market entry. On Bedrock, updates take days, cutting costs 50% and boosting retention 75% for telecom.
Human dubbing took 5 days, slowing expansion. Editors now use AI to generate multilingual audio in 2 days, streamlining production.
Dedicated servers sat idle between training runs. Now, engineers spin up compute on demand, eliminating costs for inactive time.
Engineers spent 90% of time on data prep. New pipelines flipped that to 90% modeling and cut tuning from 7 days to 1 hour.
Event surges flooded agents with the same ticket questions. Now, AI instantly resolves common queries, freeing the team for complex issues.
Manual prospect sourcing took 2 months. Now, AI enriches 8M records and routes scored sponsorship leads to 150 reps in 24 hours.
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.
Fragmented infrastructure slowed experimentation. Migrating audio models to AWS Trainium cut training costs 54% and time by 50%.
An Australian music and gaming startup enables users to create full songs by humming a tune, rather than relying on standard text-to-audio prompts.
A lean engineering team struggled with fragmented infrastructure that slowed down experimentation cycles for their generative audio models. They...
“We wanted the robustness of AWS compute instances, but also a single solution for hosting, APIs, deployment, and security. AWS gave us that. We wanted to spend less time managing infrastructure and more time building features.”
AI music creation platform and interactive virtual performance space for gaming.
Cloud computing platform and on-demand infrastructure services.
Splash Music's Generative music creation is part of this use case:
Related implementations across industries and use cases
Dedicated servers sat idle between training runs. Now, engineers spin up compute on demand, eliminating costs for inactive time.
Model tuning took weeks, slowing market entry. On Bedrock, updates take days, cutting costs 50% and boosting retention 75% for telecom.
Human dubbing took 5 days, slowing expansion. Editors now use AI to generate multilingual audio in 2 days, streamlining production.
Dedicated servers sat idle between training runs. Now, engineers spin up compute on demand, eliminating costs for inactive time.
Engineers spent 90% of time on data prep. New pipelines flipped that to 90% modeling and cut tuning from 7 days to 1 hour.
Event surges flooded agents with the same ticket questions. Now, AI instantly resolves common queries, freeing the team for complex issues.
Manual prospect sourcing took 2 months. Now, AI enriches 8M records and routes scored sponsorship leads to 150 reps in 24 hours.
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.