Anyscale

About Anyscale

Anyscale key features

• Scalable distributed training for foundation models using Ray, enabling orchestration across GPU clusters.
• Multimodal data curation for preparing and processing diverse data types, including videos, images, text, and audio.
• Batch embedding generation for downstream applications, allowing parallel processing across multiple GPU workers.
• Post-training capabilities for running inference and training on frameworks like SkyRL and veRL, built on Ray.
• Multi-cloud orchestration and pooled GPU resources for optimized performance and resource utilization across different cloud platforms.

Anyscale use cases

• **Multimodal Data Curation**: Large-scale pipelines for curating and preparing multimodal data across various formats such as videos, images, text, and audio.
• **Distributed Model Training**: Orchestrating model training across GPU clusters with features like elastic scaling and last-mile data preprocessing.
• **Batch Embedding Generation**: Processing and generating embeddings at scale for applications in search, retrieval, or training.
• **Post-training Workloads**: Running inference and training on frameworks like SkyRL and veRL, built on Ray for enhanced performance.
• **Multi-cloud Execution**: Enabling the same code to run across different cloud platforms (AWS, GCP, Azure) to maximize GPU access without needing cloud-specific modifications.

Useful for

• Scales distributed training for foundation models across GPU clusters.
• Facilitates multimodal data curation for videos, images, text, and audio.
• Enables batch embedding generation for search, retrieval, or training.
• Supports post-training workloads and inference using frameworks like SkyRL and veRL.
• Provides fine-grained control and multi-cloud orchestration for AI workloads.

Price

• Get started with a $100 credit for new users.
• Free trial available to explore the platform's capabilities.
• Pricing plans are designed for production-scale AI workloads.
• Offers multi-cloud execution and pooled GPU resources for flexibility.
• Advanced observability and fine-grained machine control included in the pricing structure.