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Compare GPU and LLM inference API pricing between Deep Infra and Thunder Compute. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.16/hour between comparable GPUs
| GPU Model ↑ | Deep Infra Price | Thunder Compute Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Deep InfraThunder Compute | ↑+$0.12(+15.6%) | |||
A100 SXM 80GB VRAM • $0.89/hour Updated: 7/13/2026 $0.77/hour Updated: 7/3/2026 ★Best Price Price Difference:↑+$0.12(+15.6%) | ||||
B200 192GB VRAM • Deep Infra | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 PCIe 80GB VRAM • Thunder Compute | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Deep InfraThunder Compute | ↓$0.20(10.1%) | |||
H100 SXM 80GB VRAM • $1.79/hour Updated: 7/4/2026 ★Best Price $1.99/hour Updated: 7/3/2026 Price Difference:↓$0.20(10.1%) | ||||
H200 141GB VRAM • Deep Infra | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Deep Infra | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • Thunder Compute | Not Available | — | ||
L40 40GB VRAM • | ||||
RTX A6000 48GB VRAM • Thunder Compute | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
A100 SXM 80GB VRAM • Deep InfraThunder Compute | ↑+$0.12(+15.6%) | |||
A100 SXM 80GB VRAM • $0.89/hour Updated: 7/13/2026 $0.77/hour Updated: 7/3/2026 ★Best Price Price Difference:↑+$0.12(+15.6%) | ||||
B200 192GB VRAM • Deep Infra | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 PCIe 80GB VRAM • Thunder Compute | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Deep InfraThunder Compute | ↓$0.20(10.1%) | |||
H100 SXM 80GB VRAM • $1.79/hour Updated: 7/4/2026 ★Best Price $1.99/hour Updated: 7/3/2026 Price Difference:↓$0.20(10.1%) | ||||
H200 141GB VRAM • Deep Infra | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Deep Infra | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • Thunder Compute | Not Available | — | ||
L40 40GB VRAM • | ||||
RTX A6000 48GB VRAM • Thunder Compute | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
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
All hosted models run on H100 or A100 hardware tuned for low latency
Support for text generation, vision and OCR, embeddings and reranking, image and video generation, and speech recognition
Spin up a dedicated cloud GPU in seconds.
Customize vCPUs, RAM, and storage.
Supports 7-10 Gbps networking speeds.
Integrated VS Code extension for easier development.
Ability to take snapshots for later use.
Hosted model APIs with autoscaling on H100/A100 hardware.
On-demand GPU nodes with SSH access for custom workloads.
OpenAI-compatible inference APIs with pay-per-request billing on H100/A100 hardware
Published transparent hourly pricing for A100, H100, H200, B200, and B300 GPUs with pay-as-you-go billing
Flexible hourly billing for dedicated instances with no prepayments or contracts required
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
Sign up for an account on the Thunder Compute platform.
Select a pre-built template for your AI workflow.
Adjust the vCPUs, RAM, and storage as necessary.
Start your GPU instance with a single click.
Use the VS Code extension to access your persistent environment.
Region list not published on the GPU Instances page; promo mentions Nebraska availability alongside multi-region autoscaling messaging.
Documentation site, dashboard guidance, Discord community link, and contact-sales options.
Available in the US and possibly other regions.
24/7 support via email and chat.