Media & Entertainment
Multimedia AI with Anyscale
Run large-scale video curation, content recommendation, and generative media workloads on 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 logs and videos
Run end-to-end data pipelines processing raw voice, image and video assets with unified CPU and GPU engine
Fine-tune generative media models
Scale video, image, and audio generation fine-tuning runs from one to thousands of GPUs using your content library
Run rendering jobs in parallel
Coordinate thousands of generation and rendering tasks for content creation, A/B testing, and quality evaluation
Curate media training datasets
Scale processing from raw content archives to structured tensors for generative model training
Generate content embeddings
Power search and retrieva with embeddings processing at PB-scale on multimodal media libraries
Run VLM batch inference
Run scene detection, object tagging, and moderation on PB-scale video libraries with any open-source VLM
Anyscale enables us to push the boundaries of what’s possible in generative AI by giving us the flexibility to scale workloads seamlessly. ”
As multimodal AI models evolve, Anyscale lets us adopt the latest quickly. Setup, evaluation, and deployment that once took a week or more can now be done by a single developer in a day.”
Anyscale enables us to push the boundaries of what’s possible in generative AI by giving us the flexibility to scale workloads seamlessly. ”
13x
Faster model loading
Why media companies unify their AI on Anyscale
Increase development velocity
Go from data curation, to training a generative model and quickly turn the dev environment into a production-scale cluster for batch inference.
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
AI workloads powered by Ray
Ray is the world’s most trusted AI compute engine. Anyscale turns this framework into a production-ready platform.
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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
Native support for popular data sources such as object stores, Snowflake and Databricks and popular frameworks such as PyTorch and vLLM.
Build. Run. Scale. Repeat.
Deploy advanced AI applications without growing operational complexity with Ray on Anyscale.