Cloud Computing skills

Amazon EC2 Compute

aws

Manage and scale your EC2 workloads effectively.

Modal Serverless GPU

nousresearch

Run GPU-intensive ML workloads without infrastructure management.

Run Experiment

wanshuiyin

Seamlessly deploy ML experiments across environments.

Azure Compute

microsoft

Efficiently manage Azure VM and VMSS workflows.

Azure Batch SDK for Java

sickn33

Efficiently run high-performance batch jobs in Azure.

On-demand GPU cloud instances for ML training.

Access a collection of open-source molecular design and structural biology tools on the Tamarind Bio platform, via its REST API or MCP server — no local GPUs required. Tamarind bundles popular open-source models for structure prediction (AlphaFold, Boltz, Chai, ESMFold), protein, binder, and de novo design (RFdiffusion, ProteinMPNN, BoltzGen), antibody and nanobody design and developability, protein-ligand docking (DiffDock, Autodock Vina), binding-affinity prediction, MSA generation, and molecular dynamics. Use when the user mentions Tamarind or tamarind.bio, wants to run any of these open-source tools in the cloud, references app.tamarind.bio/api or the x-api-key header, or needs to submit batches of sequences for structural or biophysical characterization.