FullStory Case Study
FullStory Reduces Latency and Enables Capacity for Clients
FullStory employs AMD EPYC™ CPU-powered N2D Google Cloud instances to reduce latency, lower costs, and enable capacity for its clients.
Related Case Studies
-
Iterate.ai Builds Private AI on AMD Ryzen™ AI PRO Processors
Iterate.ai taps AMD Ryzen™ AI PRO processors for 32B private LLMs with 32k context window models at ~60-80 tokens/sec, cutting cloud costs and risks.
January 13, 2026
-
Bud Ecosystem pioneers innovative new Indic LLM with AMD
Bud Ecosystem achieves faster training for India’s first commercially usable open-source Indic LLM using 40% fewer GPUs on Azure with instances powere…
December 09, 2025
-
Meteomatics revolutionizes weather forecasting with AMD EPYC™ CPUs
Meteomatics doubled its performance for the same price for its EURO1k hourly weather forecasts using NEC servers powered by 4th Gen AMD EPYC CPUs
July 09, 2024
-
Dropbox Achieves Better Flexibility and Economics with AMD
Dropbox saves 20 percent in hardware costs by increasing density using AMD EPYC™ CPUs, while staying within its racks' power and cooling envelopes.
July 18, 2023
