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Tamarind Bio Tech Stack
Web platform for running 200+ molecular design AI models at scale
Tamarind Bio wraps leading open-source protein design and molecular modeling tools (AlphaFold, Chai-1, RFdiffusion, ProteinMPNN) behind APIs and web interfaces, letting biopharma teams run hundreds of thousands of parallel simulations without managing GPUs. The stack is GPU-heavy (CUDA, Kubernetes, AWS GPU scaling) with Python + React on top, and the pain-point pattern—batch HPC scaling, ML inference deployment, and GPU cost management—suggests their primary friction is not the science but the operational complexity of running these models reliably at biotech scale.
Tech Stack 23 technologies
Core StackPython React AWS Docker TensorFlow PyTorch Vercel DynamoDB Kubernetes Terraform Pulumi Next.js TypeScript CUDA Conda Biopython Slurm bash Apollo LinkedIn GCP Azure Google Colaboratory
What Tamarind Bio Is Building
◆Challenges
- Scaling computational biology platform
- Deploying ai models
- Fine-tuning ai models
- Scaling sales process
- Scaling ml inference on aws
- Scaling ai models
- Batch hpc scaling
- Scaling drug discovery tools
- Integrating open source tools
- Leveraging ai drug discovery
▲Active Projects
- Building infrastructure, apis, and web interface
- Scaling machine learning inference system
- Scaling ml inference on aws for hundreds of gpus
- Structure prediction tool development
- Protein design tool deployment
- Docking and scoring platform
- Scoping projects based on customer feedback
- Presenting at drug discovery conferences
- Dissecting pdb files with biopython
- Maintaining infrastructure for 150+ biological ml models
Hiring Activity
15 roles · 3 in 30d
Department
Seniority
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