Atlantic.net vs Beam: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Atlantic.net and Beam. Updated July 2026.
Provider Overview
Strengths & Best For
Atlantic.net is a US-based GPU cloud offering A100 and H100 instances with HIPAA, SOC 2, and HITECH compliance across US East, US West, and EU regions, making it one of the most compliance-ready on-demand GPU cloud options for healthcare and regulated industries. On-demand and reserved billing options are available, with long-standing infrastructure reliability dating back to 1994. A trusted choice for healthcare AI workloads, clinical data processing, and regulated industries that need HIPAA-compliant GPU compute.
- HIPAA compliance
- SOC 2 certified
- US and EU regions
- Long-standing infrastructure
Beam is a serverless GPU platform that lets developers deploy AI models and run H100, A100, and T4 compute jobs with automatic scaling and per-second pay-per-use billing — no infrastructure management required. A Python-native SDK and fast cold starts make it easy to build and ship LLM inference APIs, batch ML pipelines, and AI model serving endpoints quickly. A strong choice for Python-first teams that want serverless GPU infrastructure with predictable, usage-based pricing.
- Serverless model
- Auto-scaling
- Simple SDK
- Fast cold starts
Live GPU Pricing
Region Coverage
Popular Comparisons
Atlantic.net — specialist provider
Atlantic.net is a US-based GPU cloud offering A100 and H100 instances with HIPAA, SOC 2, and HITECH compliance across US East, US West, and EU regions, making it one of the most compliance-ready on-demand GPU cloud options for healthcare and regulated industries. On-demand and reserved billing options are available, with long-standing infrastructure reliability dating back to 1994. A trusted choice for healthcare AI workloads, clinical data processing, and regulated industries that need HIPAA-compliant GPU compute.
Beam — specialist provider
Beam is a serverless GPU platform that lets developers deploy AI models and run H100, A100, and T4 compute jobs with automatic scaling and per-second pay-per-use billing — no infrastructure management required. A Python-native SDK and fast cold starts make it easy to build and ship LLM inference APIs, batch ML pipelines, and AI model serving endpoints quickly. A strong choice for Python-first teams that want serverless GPU infrastructure with predictable, usage-based pricing.
Billing model comparison
Atlantic.net uses a On-demand, Reserved billing model with a minimum commitment of None (on-demand). Beam uses Per-second usage billing with a None minimum. Atlantic.net's no-commitment on-demand model is more flexible for short-term or experimental workloads, while Beam's commitment requirement suits teams with predictable long-running jobs.
Which workloads each provider suits best
Atlantic.net is best suited for: Healthcare AI workloads, Regulated industries, HIPAA-compliant inference. Its key strengths are hipaa compliance, soc 2 certified, us and eu regions. Beam is best suited for: Serverless AI inference, Batch processing, Python-first teams. Its key strengths are serverless model, auto-scaling, simple sdk. Both providers target similar workload profiles — the live pricing table above is the most reliable way to determine which offers better value for your specific GPU model and region requirements.
Support tiers and region coverage
Atlantic.net offers Standard → Enterprise support across 2 regions (US, EU). Beam offers Standard support across 1 region (US). Atlantic.net's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Atlantic.net vs Beam
Atlantic.net was founded in 1994 and is headquartered in Orlando, FL. Beam was founded in 2022 and is headquartered in New York, NY. Atlantic.net has 28 years more operational history than Beam, which may matter for teams evaluating provider stability and long-term contract risk. Use the live pricing table above to compare current on-demand and spot rates for specific GPU models, and the region map to verify coverage in your target geography.