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Compare GPU and LLM inference API pricing between Atlas Cloud and Latitude.sh. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $1.29/hour between comparable GPUs
| GPU Model ↑ | Atlas Cloud Price | Latitude.sh Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
GH200 96GB VRAM • Latitude.sh | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Atlas CloudLatitude.sh | ↑+$1.29(+77.7%) | |||
H100 SXM 80GB VRAM • $2.95/hour Updated: 7/15/2026 $1.66/hour Updated: 7/16/2026 ★Best Price Price Difference:↑+$1.29(+77.7%) | ||||
H200 141GB VRAM • Atlas Cloud | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • Latitude.sh | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Latitude.sh | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
GH200 96GB VRAM • Latitude.sh | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Atlas CloudLatitude.sh | ↑+$1.29(+77.7%) | |||
H100 SXM 80GB VRAM • $2.95/hour Updated: 7/15/2026 $1.66/hour Updated: 7/16/2026 ★Best Price Price Difference:↑+$1.29(+77.7%) | ||||
H200 141GB VRAM • Atlas Cloud | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • Latitude.sh | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Latitude.sh | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Atlas Cloud with another leading provider
Compare Atlas Cloud with another leading provider
Compare Atlas Cloud with another leading provider
Compare Atlas Cloud with another leading provider
Compare Atlas Cloud with another leading provider
Compare Atlas Cloud with another leading provider
Unified access to models from DeepSeek, Qwen, ByteDance, Black Forest Labs, Luma, MoonshotAI, and more
Drop-in replacement for OpenAI SDK - just change the base URL and API key
Text, image, video, and audio generation through consistent API patterns
Use Atlas Cloud AI models directly in Cursor, Claude Desktop, VS Code, and more
Deploy custom models with Serverless GPU or rent DevPods for development
Provision servers with user data, RAID, and SSH over a documented REST API.
RTX 6000 Ada, H100, and L40S capacity with dual 100 Gbps networking on multi-GPU nodes.
25 locations spanning the US, Europe, Latin America, and Asia-Pacific.
Hourly and monthly rates published for GPU and CPU bare metal.
Beyond compute: managed databases, storage, networking, and Kubernetes services.
Access to 300+ AI models through unified API
Deploy custom models and development environments
Dedicated GPU servers tuned for AI training and inference.
Virtualized GPU plans for quick starts and cost-effective deployment.
General-purpose dedicated servers with high core counts and NVMe.
Transparent pricing with volume discounts available for API usage
Flexible pricing for serverless GPU deployments and development pods
Hourly billing for dedicated GPU servers including RTX 6000 Ada configurations with transparent published pricing.
Cost-effective virtualized GPU options with H100 and L40S available in select regions.
Hourly and monthly billing options for CPU-focused bare metal servers with regional pricing variations.
Published hourly rates for all GPU and CPU plans with pricing that varies by region (US, Brazil, Europe, APAC).
Sign up for an account at console.atlascloud.ai
Generate API keys for authentication
Start using 300+ AI models through the unified API
Optimized inference infrastructure with global coverage
Comprehensive API documentation, SDK support, FAQ, and contact support
25 locations across Dallas, Los Angeles, New York, Chicago, Ashburn, Miami, London (2), Frankfurt (2), Amsterdam, Sao Paulo (2), Mexico City, Buenos Aires, Bogota, Santiago, Singapore, Tokyo (2), and Sydney (2).
API reference, contact sales, and a trust center; platform tooling exposes SSH, RAID, and user-data options on provision.