Anvil
High performance, AI-native object store with S3 API included
This indie product is an alternative to:
Weighing up the big ones too?
About
Anvil is a self-hosted, S3-compatible object store designed specifically for AI workloads. It handles large model files like safetensors, gguf, and ONNX by providing model-aware indexing and tensor-level streaming, allowing applications to load only the specific layers or tensors needed for inference rather than downloading entire files. The storage layer uses erasure coding for efficiency and supports multi-region clustering, making it suitable for both local development and production environments powering AI applications.
Key Features
- Model-aware indexing for safetensors, gguf, and ONNX
- Tensor-level streaming via gRPC and QUIC
- S3-compatible API (works with AWS CLI, boto3)
- Erasure-coded storage for reduced overhead
- Deduplication for fine-tunes and LoRAs
What Makes It Different
Unlike general-purpose object stores, Anvil understands AI model formats and enables partial reads, significantly reducing latency and storage usage for large language models and fine-tunes.
Pricing
See website for pricing
Discover More Indie Products
Find amazing alternatives to big SaaS tools built by indie developers