Latitude.sh vs Novita: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Latitude.sh and Novita. Updated July 2026.
Provider Overview
Strengths & Best For
Latitude.sh provides bare-metal H100, A100, and RTX 4090 servers with no virtualization overhead across US, EU, and Brazil data centers, delivering dedicated hardware performance for latency-sensitive AI inference and distributed training. On-demand and reserved billing options are available with predictable pricing and no noisy-neighbor effects. A top choice for teams that need bare-metal GPU performance with global reach including LATAM coverage.
- Bare-metal performance
- No virtualization overhead
- Brazil region
- Predictable pricing
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
Live GPU Pricing
Region Coverage
Popular Comparisons
Latitude.sh — bare-metal provider
Latitude.sh provides bare-metal H100, A100, and RTX 4090 servers with no virtualization overhead across US, EU, and Brazil data centers, delivering dedicated hardware performance for latency-sensitive AI inference and distributed training. On-demand and reserved billing options are available with predictable pricing and no noisy-neighbor effects. A top choice for teams that need bare-metal GPU performance with global reach including LATAM coverage.
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.
Billing model comparison
Latitude.sh uses a On-demand, Reserved billing model with a minimum commitment of None. Novita uses On-demand, Spot 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
Latitude.sh is best suited for: Performance-critical workloads, Latency-sensitive inference, LATAM teams. Its key strengths are bare-metal performance, no virtualization overhead, brazil region. 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. 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
Latitude.sh offers Standard → Enterprise support across 3 regions (US-East, EU-West, BR-South). Novita offers Community → Enterprise support across 3 regions (US, EU, APAC). Both providers have comparable region coverage — choose based on which specific regions overlap with your user base or data residency requirements.
Provider background: Latitude.sh vs Novita
Latitude.sh was founded in 2020 and is headquartered in São Paulo, Brazil. Novita was founded in 2023 and is headquartered in San Francisco, CA. Latitude.sh has 3 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.