Translating the Oxford Dictionary took 39s. A 72-GPU supercomputer cut that to 3.7s, enabling real-time voice translation.
A global AI translation provider serves millions of daily users and over 200,000 businesses requiring accurate, context-aware communication.
Scaling services created a trade-off between model size and speed, where translating the Oxford English Dictionary took nearly 40 seconds. Legacy...
DeepL is a technology company that specializes in AI-powered language translation and natural language processing services.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Collaborated on infrastructure planning for DeepL's liquid-cooled DGX SuperPOD deployment.
Related implementations across industries and use cases
Legacy systems struggled to translate diverse global dialects. Now, AI delivers millisecond-latency voice translations worldwide.
Buying hardware for 10x overnight spikes was risky. On-demand GPUs now absorb volatility, enabling same-day scaling.
Manual edits on complex pairs held back delivery. Claude now handles nuance, making 80% of translations publish-ready.
Legacy systems struggled to translate diverse global dialects. Now, AI delivers millisecond-latency voice translations worldwide.
Manual edits on complex pairs held back delivery. Claude now handles nuance, making 80% of translations publish-ready.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Translating the Oxford Dictionary took 39s. A 72-GPU supercomputer cut that to 3.7s, enabling real-time voice translation.
A global AI translation provider serves millions of daily users and over 200,000 businesses requiring accurate, context-aware communication.
Scaling services created a trade-off between model size and speed, where translating the Oxford English Dictionary took nearly 40 seconds. Legacy...
DeepL is a technology company that specializes in AI-powered language translation and natural language processing services.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Collaborated on infrastructure planning for DeepL's liquid-cooled DGX SuperPOD deployment.
Related implementations across industries and use cases
Legacy systems struggled to translate diverse global dialects. Now, AI delivers millisecond-latency voice translations worldwide.
Buying hardware for 10x overnight spikes was risky. On-demand GPUs now absorb volatility, enabling same-day scaling.
Manual edits on complex pairs held back delivery. Claude now handles nuance, making 80% of translations publish-ready.
Legacy systems struggled to translate diverse global dialects. Now, AI delivers millisecond-latency voice translations worldwide.
Manual edits on complex pairs held back delivery. Claude now handles nuance, making 80% of translations publish-ready.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.