The research-grade cloud platform.
DeployByDesign brings months of infrastructure setup down to minutes. Spin up GPU-accelerated JupyterLab, RStudio, and VS Code workspaces on demand — so researchers and ML teams spend their time on discovery, not DevOps.
DeployByDesign at a glance
From terabyte-scale datasets to multi-GPU training runs, DeployByDesign removes infrastructure complexity — so your team can launch a CUDA-enabled environment, pre-loaded with PyTorch and TensorFlow, in under two minutes.
Spin up CPU and GPU-accelerated workspaces from any device — high-memory instances for genomics, imaging, or ML pipelines in seconds.
JupyterLab, RStudio, and VS Code (code-server) fully pre-configured. Switch IDEs without reinstalling a single library or package.
Fine-tune large language models on multi-GPU runs with auto-scaling. Amazon Bedrock integration ships out of the box.
Project workspaces with RBAC and IP isolation. Share with named collaborators only, backed by 1-year audit logs.
Store and analyse up to 5 TB per workspace with version-controlled, S3-backed datasets and integrated uploads.
Curated dataset access plus native connectors for AWS, GitHub, and 100+ tools. Bring your own data — no type or size limits.
From terabyte-scale datasets to multi-GPU training runs, DeployByDesign removes infrastructure complexity — so your team can launch a CUDA-enabled environment, pre-loaded with PyTorch and TensorFlow, in under two minutes.
Visit deploybydesign.com →Any question? We would be happy to help you!
