How they use Nebius AI Cloud
Multiply Labs uses Nebius H100 GPUs for training as part of its robotics R&D for biologics manufacturing. Its team added Nebius and GCP after expanding beyond its initial AWS region to improve access to premium GPUs.
Through Anyscale, the team deploys managed Ray clusters across clouds using infrastructure-as-code pipelines. Anyscale reports that this automation reduced startup time for Nebius H100 training clusters from 30 to 10 minutes. Multiply Labs engineer Varun Bhatia also describes a portable training environment that lets the team follow available GPU capacity across AWS, GCP and Nebius.
Sources
2 sourcesVarun Bhatia on Multiply Labs’ multi-cloud training infrastructure
Listed 20 Oct 2026 · LinkedIn · Web page
Multiply Labs engineer Varun Bhatia describes infrastructure-as-code pipelines for deployment across AWS, GCP and Nebius. He says its portable Anyscale Ray environment reduced the time needed to start training software.
Open original sourceCompany context
multiplylabs.comMultiply Labs, operated by Multiply Labs, Inc., builds robotic systems that automate biologic drug manufacturing for pharmaceutical and biotechnology companies. Its modular robotic clusters connect existing manufacturing instruments and automate repetitive steps within enclosed environments. Control software executes manufacturing protocols, monitors sensors and supplies electronic records to customers’ quality systems. Manufacturers own and operate the equipment in their own facilities. Initially focused on cell and gene therapies, the platform is expanding into antibodies, viral vectors and mRNA manufacturing.
Recent updates
1 updateMultiply Labs raises $75 million Series B
Multiply Labs announced a $75 million Series B led by Patrick Soon-Shiong with NantWorks, bringing total capital raised above $100 million. The company will expand manufacturing capacity, accelerate product development and grow its engineering, regulatory and commercial teams.
Multiply Labs