NVIDIA H100 GPUs
4 use cases using this technology
Cure51 Achieves 17x Speedup in Genomic Analysis Using NVIDIA DGX Cloud
Cure51
Cure51, a Paris-based Sofinnova portfolio company, achieved a 17x speedup in genomic analysis and 2x cost savings by shifting workloads to NVIDIA Parabricks running on NVIDIA DGX Cloud, accessed through the DGX Cloud Lepton program for top European healthcare and life sciences venture-backed startups, which offers access to NVIDIA H100 GPU nodes and white-glove support to help scale into markets requiring sovereign, localized compute.
Amphitrite Rides AI Wave to Boost Maritime Shipping, Ocean Cleanup With Real-Time Weather Prediction and Simulation
Amphitrite
France-based startup Amphitrite fuses satellite data and AI to simulate and predict oceanic currents and weather, using the NVIDIA AI and Earth-2 platforms. Its fine-tuned, three-kilometer-scale AI models (dubbed ORCAst), trained on NVIDIA GPUs, analyze ocean current, wave, and wind data to help ships optimize routes and reduce fuel consumption and carbon emissions. Amphitrite trains and runs its AI models using NVIDIA H100 GPUs on premises and in the cloud, building on the FourCastNet model from Earth-2. Fusing AI and satellite imagery, Amphitrite can improve the accuracy of global ocean current analyses by up to 2x compared with traditional methods. A case study along the Mediterranean Sea found the NVIDIA-powered Amphitrite fine-scale routing solution helped reduce one shipping line's carbon emissions by 10%. Shipping and oceanographic companies using Amphitrite's solutions include CMA-CGM, Genavir, Louis Dreyfus Armateurs, and Orange Marine; the company also works with an NGO to track and remove plastic pollution in the Pacific Ocean.
ElevenLabs: Scaling Voice AI with GPU-Accelerated Infrastructure
ElevenLabs
ElevenLabs runs its voice AI platform for text-to-speech, voice cloning and speech-to-speech translation on Google Kubernetes Engine (GKE) with NVIDIA GPUs, using GPU optimization strategies such as Multi-Instance GPUs and GPU time sharing to improve utilization and reduce costs. The platform generates 600 hours of audio for every hour of real time, supports 29 languages (expanding to 40), and is reportedly used by 41% of Fortune 500 companies, powering products including AI Dubbing Studio, long-form audio for audiobooks and podcasts, article narration for outlets like The New York Times, and real-time conversational AI assistants.
Domyn builds Colosseum 355B, a sovereign AI foundation model, using NVIDIA DGX Cloud
Domyn
Domyn (formerly iGenius), an Italian AI company serving highly regulated sectors such as financial services and public administration, used NVIDIA DGX Cloud with over 3,000 NVIDIA H100 GPUs to continue-pretrain Colosseum 355B, a 355-billion-parameter foundation LLM. Within one week Domyn had access to the dedicated infrastructure, and within two months completed continued pretraining, achieving 82.04% accuracy on the MMLU benchmark. The model powers Domyn's business intelligence agent, Crystal, a sovereign AI solution deployed on private infrastructure.