Training human-sounding voices took 20 days on three servers. With H100s, cycles dropped to 5 days on one server, scaling 18 languages.
A leading AI provider in Vietnam processes over 200 million monthly interactions for 100 enterprises across 15 countries, serving 16 million end users.
Producing human-sounding, multilingual virtual assistants required a 20-day training cycle across three servers for typical workloads. This...
“The protocols we have jointly established with FPT.AI have allowed us to create a fantastic, AI-based call center assistant. In doing so, Home Credit Vietnam has not only saved costs, but also been able to connect and help far more customers than we would with a traditional call center.”
Enterprise AI platform and cloud services for business automation.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Related implementations across industries and use cases
Engineers lost a week manually configuring each training environment. Now, they spin up instances in one hour.
Engineers manually provisioned servers during spikes. Automated GPU scaling now cuts user waits from days to seconds.
Translating the Oxford Dictionary took 39s. A 72-GPU supercomputer cut that to 3.7s, enabling real-time voice translation.
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.