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Compare GPU and LLM inference API pricing between Deep Infra and Latitude.sh. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $1.82/hour between comparable GPUs
| GPU Model ↑ | Deep Infra Price | Latitude.sh Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Deep Infra | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Deep Infra | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Deep InfraLatitude.sh | ↑+$0.52(+31.0%) | |||
H100 SXM 80GB VRAM • $2.20/hour Updated: 9/17/2026 $1.68/hour Updated: 9/16/2026 ★Best Price Price Difference:↑+$0.52(+31.0%) | ||||
H200 141GB VRAM • Deep Infra | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Deep InfraLatitude.sh | 8x GPU | ↓$3.11(38.9%) | ||
HGX B300 288GB VRAM • $4.89/hour Updated: 9/17/2026 ★Best Price $8.00/hour 8x GPU configuration Updated: 9/16/2026 Price Difference:↓$3.11(38.9%) | ||||
RTX PRO 6000 96GB VRAM • Latitude.sh | Not Available | 8x GPU | — | |
RTX PRO 6000 96GB VRAM • | ||||
A100 SXM 80GB VRAM • Deep Infra | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Deep Infra | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Deep InfraLatitude.sh | ↑+$0.52(+31.0%) | |||
H100 SXM 80GB VRAM • $2.20/hour Updated: 9/17/2026 $1.68/hour Updated: 9/16/2026 ★Best Price Price Difference:↑+$0.52(+31.0%) | ||||
H200 141GB VRAM • Deep Infra | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Deep InfraLatitude.sh | 8x GPU | ↓$3.11(38.9%) | ||
HGX B300 288GB VRAM • $4.89/hour Updated: 9/17/2026 ★Best Price $8.00/hour 8x GPU configuration Updated: 9/16/2026 Price Difference:↓$3.11(38.9%) | ||||
RTX PRO 6000 96GB VRAM • Latitude.sh | Not Available | 8x GPU | — | |
RTX PRO 6000 96GB VRAM • | ||||
| Model ↑ | Deep Infra | Latitude.sh | Input Diff ↕ |
|---|---|---|---|
Anthropic | $10.00 in $50.00 out | Not available | — |
Anthropic | $1.00 in $5.00 out | Not available | — |
Anthropic | $5.00 in $25.00 out | Not available | — |
Anthropic | $5.00 in $25.00 out | Not available | — |
Anthropic | $5.00 in $25.00 out | Not available | — |
Anthropic | $3.00 in $15.00 out | Not available | — |
Anthropic | $3.00 in $15.00 out | Not available | — |
DeepSeek | $0.500 in $2.15 out | Not available | — |
DeepSeek | $0.320 in $0.890 out | Not available | — |
DeepSeek | $0.250 in $0.950 out | Not available | — |
DeepSeek | $0.260 in $0.380 out | Not available | — |
DeepSeek | $0.060 in $0.180 out | Not available | — |
DeepSeek | $0.440 in $1.32 out | Not available | — |
DeepSeek | $1.30 in $2.60 out | Not available | — |
DeepSeek | $0.200 in $0.600 out | Not available | — |
Explore how these providers compare to other popular GPU cloud services
Compare Deep Infra with another leading provider
Compare Deep Infra with another leading provider
Compare Deep Infra with another leading provider
Compare Deep Infra with another leading provider
Compare Deep Infra with another leading provider
Compare Deep Infra with another leading provider
OpenAI-compatible API for 100+ models including DeepSeek, Qwen, Llama 4, Claude, and Gemini families with autoscaling
B200 instances with SSH access spin up in about 10 seconds and bill hourly
Deploy your own Hugging Face models onto dedicated A100, H100, H200, B200, or B300 GPUs
Published per-GPU hourly rates for A100, H100, H200, B200, and B300 with competitive pricing
Runs on its own inference-optimized hardware in US-based data centers rather than rented capacity
Support for text generation, vision and OCR, embeddings and reranking, image, video and music generation, and speech recognition and synthesis
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.
Hosted model APIs with autoscaling on Deep Infra's own inference infrastructure.
On-demand GPU nodes with SSH access for custom workloads.
Multi-node B200 and B300 clusters with SSH access for training and full-control workloads.
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.
OpenAI-compatible inference APIs billed per input and output token, with no idle GPU time or minimums
Published transparent hourly pricing for A100, H100, H200, B200, and B300 GPUs with pay-as-you-go billing
Non-LLM models are billed for inference execution time rather than per token
Prompt-cached input tokens are billed at a lower rate than uncached input tokens
Flexible hourly billing for dedicated instances with no prepayments, contracts, or minimums required
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 (GitHub-supported) and open the Deep Infra dashboard
Add a payment method to unlock GPU rentals and API usage
Choose serverless APIs or dedicated A100, H100, H200, B200, or B300 instances
Start instances with SSH access or call the OpenAI-compatible API endpoints
Track spend and instance status from the dashboard and shut down when idle
Runs on self-operated, inference-optimized infrastructure in US-based data centers; no international region list is published.
Documentation site, dashboard guidance, Discord community, feedback email (feedback@deepinfra.com), and contact-sales options.
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.