If you're looking for a Groq alternative, Anyscale is definitely worth a look. It's a full-fledged platform for developing, deploying and scaling AI workloads with high performance. With workload scheduling, intelligent instance management and heterogeneous node control, Anyscale supports a broad range of AI models, including generative AI. It's based on the open-source Ray framework and has a free tier with flexible pricing, so it should be affordable for most customers.
Another good option is Together, which is tuned for fast and efficient development and deployment of generative AI models. It includes new optimizations like Cocktail SGD, FlashAttention 2 and Sub-quadratic model architectures to accelerate AI model training and inference. Together supports a variety of models and offers scalable inference for high traffic volumes, and it promises to be much cheaper than other cloud providers.
If you're looking for something more specialized, Predibase is geared for fine-tuning and serving large language models (LLMs) in a low-cost and high-performance way. It offers free serverless inference for up to 1 million tokens per day and supports a broad range of models with enterprise-grade security. Predibase uses a pay-as-you-go pricing model, so you can use it in a flexible way depending on your needs.
Last, Instill is a no-code/low-code AI platform that makes it easier to incorporate generative AI into your apps. It's got a drag-and-drop interface for custom pipelines and supports a variety of AI use cases, including speech responses, webpage summarization and object detection. Instill has tiered pricing options and encourages a community approach with open-source code, so it's a good option for teams that want to speed up AI app development without having to know the innards of the infrastructure.