Anyscale | Scalable Compute for AI and Python
UnknownScalable compute for data-intensive AI workloads
工具信息
什么是 Anyscale | Scalable Compute for AI and Python？
Anyscale is a Ray-powered platform for building, running, and optimizing large-scale AI workloads across clouds and GPU clusters. It supports AI training, data processing, embedding generation, post-training, and inference.
核心功能
Multimodal data curation
Curates and prepares videos, images, text, and audio at large scale.
Distributed model training
Orchestrates model training across GPU clusters with elastic scaling, data preprocessing, and GPU observability.
Batch embedding generation
Processes and generates embeddings at scale for search, retrieval, and training use cases.
LLM post-training
Runs LLM inference and training with post-training frameworks such as SkyRL and veRL, built on Ray.
Multi-cloud orchestration
Provides multi-cloud orchestration for AI workloads.
AI workload observability
Provides observability for AI workloads, including GPU observability for distributed training.
使用场景
- #1
Foundation model development
Build and scale foundation models with data-intensive training and inference workloads.
- #2
Multimodal data pipelines
Prepare videos, images, text, and audio for AI workloads through large-scale data curation pipelines.
- #3
Search and retrieval preparation
Generate embeddings for downstream search and retrieval applications.
- #4
LLM post-training
Run post-training workflows and inference for large language models.
定价方案
The official homepage offers a free start and mentions a $100 credit, but it does not provide enough information to classify the overall pricing model.
替代工具
常见问题
What is Anyscale?
What workloads does Anyscale support?
Can Anyscale orchestrate workloads across multiple clouds?
Does Anyscale support GPU-based model training?
What frameworks and technologies does Anyscale integrate with?
How much does Anyscale cost?
Anyscale | Scalable Compute for AI and Python 联系方式与社交媒体
- 公司Anyscale
- 支持
- 网站：
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- LinkedIn
- GitHub