Forecasts that took 10+ hrs on shared CPU clusters now run in 150 sec—giving grid planners time to act, not just react.
A leading independent nonprofit energy R&D organization collaborating with more than 450 utility companies across 45 countries, conducting research that directly shapes how critical electricity infrastructure is designed, operated, and maintained.
Utility research data, including operational documents about critical infrastructure, cannot leave controlled environments under regulatory and...
“Testing across DGX Spark and DGX Station allowed EPRI IT to see how each system fit in our infrastructure strategy.”
Global research organization for reliable, affordable, and resilient energy.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
EPRI's Weather forecasting is part of this use case:
Related implementations across industries and use cases
Researchers had just 30-60 minutes to warn of severe hailstorms. Now, an AI radar model generates high-resolution forecasts in minutes.
Simulations were stuck in 2D and took hours. Physics-informed AI now models 3D urban airflow in seconds.
Forecasters spent 2,920 hours a year condensing weather data into text across 31 sea areas. AI now writes the first draft.
Researchers had just 30-60 minutes to warn of severe hailstorms. Now, an AI radar model generates high-resolution forecasts in minutes.
Manual exports caused five-hour lags. AI cut fuel stockouts by 20% and audit prep from two weeks to one hour.
Finance hunted IBANs by hand; legal had no self-service; HR drowned in FAQs. Six AI agents—one chat interface—freed 7,500 hours annually.
Generic energy tips ignored smart meter data. Now, AI analyzes 48 daily readings per customer to write personalized savings advice.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Forecasts that took 10+ hrs on shared CPU clusters now run in 150 sec—giving grid planners time to act, not just react.
A leading independent nonprofit energy R&D organization collaborating with more than 450 utility companies across 45 countries, conducting research that directly shapes how critical electricity infrastructure is designed, operated, and maintained.
Utility research data, including operational documents about critical infrastructure, cannot leave controlled environments under regulatory and...
“Testing across DGX Spark and DGX Station allowed EPRI IT to see how each system fit in our infrastructure strategy.”
Global research organization for reliable, affordable, and resilient energy.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
EPRI's Weather forecasting is part of this use case:
Related implementations across industries and use cases
Researchers had just 30-60 minutes to warn of severe hailstorms. Now, an AI radar model generates high-resolution forecasts in minutes.
Simulations were stuck in 2D and took hours. Physics-informed AI now models 3D urban airflow in seconds.
Forecasters spent 2,920 hours a year condensing weather data into text across 31 sea areas. AI now writes the first draft.
Researchers had just 30-60 minutes to warn of severe hailstorms. Now, an AI radar model generates high-resolution forecasts in minutes.
Manual exports caused five-hour lags. AI cut fuel stockouts by 20% and audit prep from two weeks to one hour.
Finance hunted IBANs by hand; legal had no self-service; HR drowned in FAQs. Six AI agents—one chat interface—freed 7,500 hours annually.
Generic energy tips ignored smart meter data. Now, AI analyzes 48 daily readings per customer to write personalized savings advice.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.