
IBM Quantum Platform
Best for Academic researchers and enterprise R&D teams building next-generation Quantum ML algorithms.

Best for Developers wanting one-click GPU environments without managing raw infrastructure.
Brev.dev (acquired by NVIDIA) is an infrastructure orchestration platform that abstracts away the difficulty of provisioning GPUs. Rather than acting as a data center itself, Brev connects to various cloud providers and decentralized networks, allowing AI developers to spin up perfectly configured environments (like Jupyter notebooks with CUDA pre-installed) in a single click. By optimizing supply discovery and instance management, Brev provides the ultimate developer experience for ML engineers looking to start coding immediately without fighting infrastructure.
| GPU Models | H100, A100, A10G, T4 |
| GPU Types | A100, A10G, H100, t4 |
| Headquarters | San Francisco, CA |
| Founded | 2021 |
| Availability | Available Now |
| Website | brev.dev ↗ |
💡 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 →
Brev.dev GPU cloud pricing starts from $0.50/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.
Brev.dev offers H100, A100, A10G, T4 GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Brev.dev 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 Brev.dev and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Brev.dev 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 Academic researchers and enterprise R&D teams building next-generation Quantum ML algorithms.

Best for Serverless Inference

Best for Software teams integrating diverse AI capabilities who want a single API to manage costs and prevent vendor lock-in.