Biotech
Biotech AI with Anyscale
Run large-scale genomic processing, protein structure prediction, and multimodal lab data pipelines with a unified AI compute platform, powered by Ray.
Build, run and optimize data, train and inference pipelines at foundation model scale.
Deploy at scale on any cloud - AWS, Azure, GCP, CoreWeave & Nebius.
Process genomic and lab data
Run end-to-end data pipelines processing sequencing reads and assay outputs with unified CPU and GPU processing
Fine-tune biological FMs
Scale protein language model and genomic model training runs using your proprietary data from one GPU to thousands
Run virtual screens in parallel
Coordinate thousands of molecular simulation and docking runs for hit identification and lead optimization
Curate training datasets
Scale processing from raw sequencing and imaging data to tensors for model training
Generate molecular embeddings
Power compound search, similarity retrieval, and library curation with embeddings at PB-scale on multimodal biological data
Run VLM batch inference
Run cell image segmentation, phenotype classification, and annotation on PB-scale microscopy data with any VLM
With Anyscale, we can tap into on-demand A100 and H100 capacity across clouds to support our expanding R&D efforts and the growing volume of training runs they require.”
With Anyscale, our researchers can just write code without worrying about the underlying infrastructure.”
With Anyscale, we can tap into on-demand A100 and H100 capacity across clouds to support our expanding R&D efforts and the growing volume of training runs they require.”
85x
scale compute from 20K to 1.7M hrs in less than 12 months
Why biotech companies unify their AI on Anyscale
Increase development velocity
Go from raw sequencing data, to training a structure prediction model and quickly turn the dev environment into a production cluster.
Optimize compute costs
Intelligently orchestrate AI workloads across a shared CPU+GPU resource pool spanning reserved, on-demand, and spot instances.
Operate securely across clouds
Run the same code without cloud-specific rewrites to maximize GPU access. Manage security, governance and budgets in a single pane.
Built on Open Source
Biotech AI workloads powered by Ray
Ray is the world’s most trusted AI compute engine. Anyscale turns this framework into a production-ready platform.
500M+
All time downloads
41K+
GitHub stars
1.2k+
Contributors
Simple Python APIs
Execute Python functions and classes on a distributed cluster with a single decorator.
Agent-first experience
Build and iterate with scalable interfaces to Claude Code and Cursor, fast cluster startup time, instant autoscaling and deep workload observability.
Fine-grained hardware allocation
Compose workloads with distributed functions and classes each running on different CPUs, GPUs, TPUs, or accelerator racks like NVL72.
Multi-framework support
Ray offers native support for robotics data formats such as LeRobot and popular AI frameworks such as PyTorch, vLLM, Nvidia NeMo & more.
Build. Run. Scale. Repeat.
Deploy advanced AI applications without growing operational complexity with Ray on Anyscale.
Biotech Boltz screening
Virtual compound screening using Boltz for structure prediction and binding affinity across compound libraries
Biotech protein embeddings
Generate and index protein sequence embeddings for retrieval and similarity search
Image processing and curation
Run LLM offline inference on large-scale molecular data