
Algorithmia
Best for Large IT organizations needing a structured, highly governed infrastructure to deploy thousands of internal ML models as microservices.

Best for Data science teams utilizing Metaflow who want Netflix-scale infrastructure orchestration without managing Kubernetes or AWS Batch directly.
Outerbounds provides the commercial, fully managed infrastructure for Metaflow (the incredibly popular open-source framework originally built at Netflix). For data scientists, Metaflow is beloved for its Pythonic simplicity, but managing the underlying AWS Batch, Kubernetes, and GPU routing is difficult. Outerbounds provides a seamless cloud environment that executes Metaflow DAGs instantly, allocating massive GPU compute for training steps and tearing it down automatically. It brings Netflix-scale infrastructure to any organization without the DevOps overhead.
| GPU Models | Managed Compute (AWS/GCP Backed) |
| GPU Types | Managed Compute (AWS/GCP Backed) |
| Headquarters | San Francisco, CA |
| Founded | 2021 |
| Availability | Available Now |
| Website | outerbounds.com ↗ |
💡 Pricing note: Rates shown are indicative. Final pricing depends on GPU model, reservation type (spot vs. on-demand), contract length, and region. Get an exact quote →
Outerbounds GPU cloud pricing starts from $1.50/hr depending on GPU type, reservation model (on-demand vs. spot vs. reserved), and region. Use the quote form to get exact pricing for your specific workload.
Outerbounds offers Managed Compute (AWS/GCP Backed) GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Outerbounds operates data centers in Global. Choosing a region close to your users minimises latency and can help with data residency compliance requirements.
Use the "Get a Quote" button on this page to submit your GPU requirements. ComputeStacker will forward your request to Outerbounds and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Outerbounds offers high-performance GPU infrastructure suitable for large language model training and fine-tuning workloads. For large-scale distributed training, check the Specs tab for NVLink and InfiniBand interconnect availability.

Best for Large IT organizations needing a structured, highly governed infrastructure to deploy thousands of internal ML models as microservices.

Best for On-demand GPU instances, SMEs, Sustainable Computing

Best for Enterprise deployments requiring massive context windows and data privacy.