Developers and businesses deploying AI applications globally need accessible, high-performance GPU infrastructure to minimize latency and reduce costs.
Novita AI now provides enterprise-grade GPU services across all major continents with four new regions in the United Arab Emirates, United Kingdom, India, and Brazil.
This article covers regional GPU infrastructure benefits and global deployment strategies.
Global GPU Infrastructure Overview
Novita AI GPU resources are hosted in multiple locations worldwide. These locations are composed of regions and zones that provide logical abstractions of underlying physical infrastructure.
Regions are independent geographic areas that consist of zones, and zones within regions have high-bandwidth, low-latency network connections to support efficient AI workloads and data transfer.
We are excited to announce four new regions now live:
- Middle East: United Arab Emirates (AS-AE-01)
- Europe: United Kingdom (EU-GB-01)
- Asia: India (AS-IN-01)
- South America: Brazil (SA-BR-01)
These strategic additions ensure comprehensive global coverage, bringing high-performance GPU compute closer to developers and businesses across all major continents and significantly reducing latency for AI workloads worldwide.
Ready to deploy your AI workloads globally? Launch your GPU instances now and experience the power of our worldwide infrastructure.
GPU Zones by Continent on Novita AI
Asia
| Region | Country/Location | Zone Code | Status |
|---|---|---|---|
| India | India | AS-IN-01 | New |
| Japan | Tokyo | JP-TYO-01 | Active |
| Japan | Tokyo | JP-TYO-02 | Active |
| Singapore | Singapore | AS-SGP-01 | Active |
| Singapore | Singapore | AS-SGP-02 | Active |
| Hong Kong | Hong Kong | CN-HK-01 | Active |
North America
| Region | Country/Location | Zone Code | Status |
|---|---|---|---|
| United States | General | US-01 | Active |
| United States | General | US-02 | Active |
| United States | California | US-CA-02 | Active |
| United States | California | US-CA-03 | Active |
| United States | California | US-CA-06 | Active |
Europe
| Region | Country/Location | Zone Code | Status |
|---|---|---|---|
| United Kingdom | UK | EU-GB-01 | New |
| Germany | Germany | EU-GER-01 | Active |
| Germany | Germany | EU-GER-02 | Active |
Middle East
| Region | Country/Location | Zone Code | Status |
|---|---|---|---|
| United Arab Emirates | UAE | AS-AE-01 | New |
South America
| Region | Country/Location | Zone Code | Status |
|---|---|---|---|
| Brazil | Brazil | SA-BR-01 | New |
Oceania
| Region | Country/Location | Zone Code | Status |
|---|---|---|---|
| Australia | Australia | OC-AU-01 | Active |
Africa
| Region | Country/Location | Zone Code | Status |
|---|---|---|---|
| South Africa | South Africa | AF-ZA-01 | Active |
Major GPU Instance Types and Pricing
| GPU Model | VRAM | vCPU | RAM | Price/Hour |
|---|---|---|---|---|
| H100 SXM 80GB | 80 GB | 22 | 150 GB | $2.56 |
| A100 SXM 80GB | 80 GB | 14 | 240 GB | $1.60 |
| L40S 48GB | 48 GB | 28 | 125 GB | $0.55 |
| RTX 5090 32GB | 32 GB | 16 | 120 GB | $0.50 |
| RTX 4090 24GB (High Frequency) | 24 GB | 24 | 58 GB | $0.69 |
| RTX 4090 24GB | 24 GB | 16 | 62 GB | $0.35 |
| RTX 3090 24GB | 24 GB | 16 | 58 GB | $0.21 |
Start with the perfect GPU for your project. Browse all available GPU instances and select your optimal configuration.
Novita AI provides both on-demand and subscription GPU pricing models to accommodate different business needs and usage patterns. While on-demand offers maximum flexibility with pay-as-you-go hourly billing, subscription plans deliver substantial cost savings up to 28% with guaranteed resource availability for consistent workloads.
Understanding Regions and Zones
Regions and Zone Organization: Regions are independent geographic areas containing multiple zones for redundancy and load distribution. Zones within regions have high-bandwidth, low-latency network connections to support efficient distributed AI workloads. Zone names follow the format <region>-<identifier> – for example, US-CA-02, US-CA-03, and US-CA-06 are all within the US California region but in different availability zones.
Resource Types: Resources fall into two categories – zonal resources like GPU instances and attached storage that exist within specific zones, and regional resources like load balancers and network configurations that can be used across an entire region. For optimal performance, related resources such as GPU instances and high-performance storage must be deployed in the same zone.
Failure Independence: Distributing resources across different zones within a region reduces the risk of infrastructure outages affecting all resources simultaneously. Deploying across different regions provides even higher failure independence, enabling robust AI systems with resources spread across different failure domains.
Deployment Strategy and Best Practices
Region Selection Factors: Choose regions based on proximity to users or data sources to minimize network latency, especially critical for real-time AI inference applications. Consider regional compliance requirements as some jurisdictions have specific data processing location mandates. Evaluate GPU availability as different zones may have varying capacity for high-demand GPU types.
Cost and Performance Optimization: Within-region communication is typically more cost-effective than cross-region transfers, so design distributed training and inference systems to minimize expensive inter-region bandwidth usage. Consider GPU price-performance ratios – RTX 3090 at $0.21/hr for development and testing, scaling to H100 at $2.56/hr for production workloads requiring maximum performance.
High Availability Design: Deploy critical AI systems across multiple zones or regions for redundancy. For example, host inference endpoints in both AS-SGP-01 and AS-SGP-02 to ensure continued availability if one zone experiences issues. For global applications, consider deploying across continents such as US-CA-03, EU-GER-01, and AS-SGP-01. Collocate related AI workloads in the same zone when possible – training clusters, model storage, and preprocessing pipelines perform optimally when deployed together.
Conclusion
Novita AI’s expansion to all major continents with new regions in the UAE, UK, India, and Brazil eliminates geographic barriers for developers and businesses building AI solutions.
This distributed infrastructure reduces latency, enhances reliability, and enables regional compliance while offering flexible GPU options from RTX 3090 at $0.21/hr for development to H100 at $2.56/hr for enterprise production workloads.
Transform your AI projects with global GPU infrastructure. Get started with Novita AI today and deploy your workloads across our worldwide network.
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