Lambda Alternatives

If you're looking for a Lambda alternative, RunPod could be a good option. It's a globally distributed GPU cloud that lets you run any GPU workload. With instant spinning up of GPU pods, a range of GPUs, and no egress or ingress fees, it's geared for high scale and quick deployment. It also offers serverless ML inference, more than 50 preconfigured templates, and real-time logs and analytics.

Another good option is Cerebrium, a serverless GPU infrastructure for training and deploying machine learning models. It uses pay-per-use pricing that can be much cheaper than traditional methods. With features like GPU variety, infrastructure as code, and real-time monitoring and logging, Cerebrium is geared for high scale and ease of use.

Salad is another option. It lets you run and manage AI/ML production models at scale by tapping into thousands of consumer GPUs around the world. With a fully-managed container service, a global edge network and multi-cloud support, Salad is good for large-scale GPU workloads, and it's got pricing that can be up to 90% cheaper than traditional providers.

If you prefer a more integrated platform, Anyscale is a full-stack solution for building, deploying and scaling AI applications. Based on the open-source Ray framework, Anyscale supports a broad range of AI models and comes with features like workload scheduling, cloud flexibility and optimized resource utilization. It offers cost savings and a free tier, so it's good for small and large-scale AI projects.