Provider Overview
Strengths & Best For
Novita is an on-demand GPU cloud offering H100, A100, and RTX instances with fast provisioning, pre-built ML environments, and a developer-friendly API for AI training and inference workloads. Competitive spot and on-demand pricing makes it accessible for startups and researchers who need quick access to high-performance GPU hardware without long-term commitments. A practical choice for teams wanting a streamlined GPU cloud experience with minimal setup friction.
- Competitive H100 pricing
- Fast provisioning
- Pre-built ML environments
- Developer API
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
Novita — specialist provider
Novita is an on-demand GPU cloud offering H100, A100, and RTX instances with fast provisioning, pre-built ML environments, and a developer-friendly API for AI training and inference workloads. Competitive spot and on-demand pricing makes it accessible for startups and researchers who need quick access to high-performance GPU hardware without long-term commitments. A practical choice for teams wanting a streamlined GPU cloud experience with minimal setup friction.
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
Novita uses a On-demand, Spot billing model with a minimum commitment of None. Beam uses Per-second usage billing with a None minimum. Both providers offer flexible billing options — compare the live pricing table above to find the best rate for your specific GPU model and workload duration.
Which workloads each provider suits best
Novita is best suited for: AI model training, LLM inference, Startups needing fast GPU access. Its key strengths are competitive h100 pricing, fast provisioning, pre-built ml environments. 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
Novita offers Community → Enterprise support across 3 regions (US, EU, APAC). Beam offers Standard support across 1 region (US). Novita's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Novita vs Beam
Novita was founded in 2023 and is headquartered in San Francisco, CA. Beam was founded in 2022 and is headquartered in New York, NY. Beam has 1 years more operational history than Novita, 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.