Deep Infra vs IBM Cloud
Compare GPU pricing, features, and specifications between Deep Infra and IBM Cloud cloud providers. Find the best deals for AI training, inference, and ML workloads.
Deep Infra
Provider 1
IBM Cloud
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | Deep Infra Price | IBM Cloud Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Deep Infra |  $0.89/hr★ Best | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Deep Infra | $2.49/hr★ Best | Not Available | — | |
B200 192GB VRAM • | ||||
H100 80GB VRAM • Deep Infra | $1.69/hr★ Best | Not Available | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • Deep Infra | $1.99/hr★ Best | Not Available | — | |
H200 141GB VRAM • | ||||
A100 SXM 80GB VRAM • Deep Infra | $0.89/hr★ Best | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Deep Infra | $2.49/hr★ Best | Not Available | — | |
B200 192GB VRAM • | ||||
H100 80GB VRAM • Deep Infra | $1.69/hr★ Best | Not Available | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • Deep Infra | $1.99/hr★ Best | Not Available | — | |
H200 141GB VRAM • | ||||
Features Comparison
Deep Infra
- Serverless Model APIs
OpenAI-compatible endpoints for 100+ models with autoscaling and pay-per-token billing
- Dedicated GPU Rentals
B200 instances with SSH access spin up in about 10 seconds and bill hourly
- Custom LLM Deployments
Deploy your own Hugging Face models onto dedicated A100, H100, H200, or B200 GPUs
- Transparent GPU Pricing
Published per-GPU hourly rates for A100, H100, H200, and B200 with competitive pricing
- Inference-Optimized Hardware
All hosted models run on H100 or A100 hardware tuned for low latency
IBM Cloud
Pros & Cons
Deep Infra
Advantages
- Simple OpenAI-compatible API alongside controllable GPU rentals
- Competitive hourly rates for flagship NVIDIA GPUs including latest B200
- Fast provisioning with SSH access for dedicated instances (ready in ~10 seconds)
- Supports custom deployments in addition to hosted public models
Considerations
- Region list is not clearly published in the public marketing pages
- Primarily focused on inference and GPU rentals rather than broader cloud services
- Newer player compared to established cloud providers
IBM Cloud
Advantages
- Strong focus on AI and data workloads
- Enterprise-grade support
- Integration with IBM's AI tools
Considerations
- Limited global presence compared to competitors
- Higher cost for some services
- Less community support
Compute Services
Deep Infra
Serverless Inference
Hosted model APIs with autoscaling on H100/A100 hardware.
- OpenAI-compatible REST API surface
- Runs 100+ public models with pay-per-token pricing
Dedicated GPU Instances
On-demand GPU nodes with SSH access for custom workloads.
IBM Cloud
IBM Virtual Servers for VPC
GPU‑accelerated virtual servers on IBM Cloud VPC.
Pricing Options
Deep Infra
Serverless pay-per-token
OpenAI-compatible inference APIs with pay-per-request billing on H100/A100 hardware
Dedicated GPU hourly rates
Published transparent hourly pricing for A100, H100, H200, and B200 GPUs with pay-as-you-go billing
No long-term commitments
Flexible hourly billing for dedicated instances with no prepayments or contracts required
IBM Cloud
Getting Started
Deep Infra
- 1
Create an account
Sign up (GitHub-supported) and open the Deep Infra dashboard
- 2
Enable billing
Add a payment method to unlock GPU rentals and API usage
- 3
Pick a GPU option
Choose serverless APIs or dedicated A100, H100, H200, or B200 instances
- 4
Launch and connect
Start instances with SSH access or call the OpenAI-compatible API endpoints
- 5
Monitor usage
Track spend and instance status from the dashboard and shut down when idle
IBM Cloud
Support & Global Availability
Deep Infra
Global Regions
Region list not published on the GPU Instances page; promo mentions Nebraska availability alongside multi-region autoscaling messaging.
Support
Documentation site, dashboard guidance, Discord community link, and contact-sales options.
IBM Cloud
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