
NScale
Best for Sustainable, large-scale LLM training on European bare metal.

Best for Serverless Inference
Beam Cloud is a modern serverless platform that allows developers to run code on GPUs without managing underlying infrastructure. It is optimized for AI inference, allowing teams to deploy models via API endpoints and pay only for the exact milliseconds of compute used.
For applications with bursty or unpredictable traffic, paying for a 24/7 dedicated GPU is inefficient. Beam solves this by auto-scaling down to zero. While the nominal hourly rate is higher than bare-metal providers, the actual cost for inference workloads is often much lower due to the pay-per-millisecond billing model.
| GPU Models | A10G, T4, A100, H100 |
| GPU Types | NVIDIA A100, NVIDIA A10G, NVIDIA H100, NVIDIA T4 |
| Headquarters | New York, NY |
| Founded | 2022 |
| Availability | Available Now |
| Website | beam.cloud ↗ |
💡 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 →
Beam Cloud 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.
Beam Cloud offers A10G, T4, A100, H100 GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Beam Cloud operates data centers in North America. 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 Beam Cloud and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Beam Cloud 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 Sustainable, large-scale LLM training on European bare metal.

Best for Bare Metal GPU, Low-Latency AI Inference, Global Edge AI Deployment

Best for Funded AI Startups, Y Combinator Companies, LLM Foundation Models