NVIDIA DGX Cloud
5 use cases using this technology
Terray Therapeutics uses NVIDIA DGX Cloud to train generative AI foundation models for small-molecule drug discovery
Terray Therapeutics
Terray Therapeutics leverages NVIDIA DGX Cloud and NVIDIA Base Command Platform to train COATI, a multimodal encoder-decoder foundation model for chemistry, reducing model training time from a week to a day and improving infrastructure utilization by over 4x compared to alternate cloud services.
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.
Amdocs Builds Generative AI Agents for Telecom
Amdocs
Amdocs built amAIz, a domain-specific generative AI platform helping telecom companies transform customer experiences, automate processes and optimize decision-making, using NVIDIA DGX Cloud, NVIDIA AI Enterprise software, NVIDIA NIM inference microservices, and NVIDIA Nemotron open-source reasoning models. amAIz agents, enhanced with NVIDIA's Llama Nemotron, autonomously handle complex multistep customer journeys spanning sales, billing and care. Using NVIDIA NIM microservices and telecom-based retrieval-augmented generation, Amdocs reduced tokens consumed by as much as 60 percent for data preprocessing and up to 40 percent for inferencing, and reduced query latency by approximately 80 percent.
Harvard Medical School's Walter Lab runs 1.7 million protein interaction predictions using NVIDIA DGX Cloud
Harvard Medical School (The Walter Lab)
The Walter Lab at Harvard Medical School, with access to NVIDIA DGX Cloud through the National Science Foundation's NAIRR pilot program, completed nearly 1.7 million protein-protein interaction predictions on ColabFold in three months using 32-node DGX clusters with 256 A100 GPUs, a task that previously would have taken years. The team curated 40,000 high-confidence protein interactions among 300 human genome maintenance proteins using two custom ML tools (KIRC and SPOC), publishing results via the Predictomes website.
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.