Anyscale Alternatives
Fast, cost-efficient, serverless APIs for LLM Serving and Fine Tuning
Anyscale Endpoints offers fast, cost-efficient, serverless APIs for serving and fine-tuning Large Language Models (LLMs) with a focus on production-readiness.
Explore 75 alternatives to Anyscale across 2 categories. Each tool listed below shares at least one category with Anyscale.
Top Anyscale alternatives at a glance
- Amazon Bedrock. Managed API access to foundation models on AWS with built-in fine-tuning and agent tooling
- Axolotl. Open-source toolkit for fine-tuning LLMs with a single YAML config across the full training pipeline
- fal. Build the next generation of creativity with fal. Lightning fast inference.
- FinetuneDB. Capture production data, evaluate outputs collaboratively, and fine-tune your LLM's performance
- Hugging Face. The open-source AI platform with 500K+ models, inference endpoints, and fine-tuning tools
🧠 Fine-tuning
LLaMA-Factory
Open-source fine-tuning framework for 100+ LLMs with a web UI
torchtune
PyTorch-native library for fine-tuning LLMs on consumer and enterprise GPUs
TRL
Hugging Face library for training language models with RLHF, SFT, and DPO
Unsloth
Fine-tune LLMs up to 30x faster with 90% less memory usage
🤖 Inference APIs
Beam
Open-source serverless GPU cloud with sub-second cold starts and auto-scaling
BentoML
BentoML is the platform for software engineers to build AI products.
Ollama
Run large language models locally with a single command
vLLM
High-throughput LLM inference engine with PagedAttention for efficient GPU memory usage
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