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Compare GPU and LLM inference API pricing between Cudo Compute and Deep Infra. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Cudo Compute Price | Deep Infra Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Deep Infra | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Deep Infra | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo ComputeDeep Infra | ↓$0.00(0.0%) | |||
H100 SXM 80GB VRAM • $1.79/hour Updated: 7/16/2026 $1.79/hour Updated: 7/4/2026 ★Best Price Price Difference:↓N/A(0.0%) | ||||
H200 141GB VRAM • Deep Infra | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Deep Infra | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • Cudo Compute | Not Available | — | ||
L40S 48GB VRAM • | ||||
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Deep Infra | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Deep Infra | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo ComputeDeep Infra | ↓$0.00(0.0%) | |||
H100 SXM 80GB VRAM • $1.79/hour Updated: 7/16/2026 $1.79/hour Updated: 7/4/2026 ★Best Price Price Difference:↓N/A(0.0%) | ||||
H200 141GB VRAM • Deep Infra | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Deep Infra | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • Cudo Compute | Not Available | — | ||
L40S 48GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
On-demand and reserved GPU capacity with latest NVIDIA models including H200, H100, A100 80 GB, L40S, and legacy options like V100 and A40
Deploy VMs, dedicated bare metal, or multi-node GPU clusters for training and inference
Marketplace view with locations in the UK, US, Nordics, and Africa plus renewable energy indicators
REST API and documented workflows for provisioning, scaling, and lifecycle automation
Supports sovereignty requirements with regional choice, private networking, and support for reserved capacity
Design and manage GPU facilities powered by NVIDIA GB300 NVL72, B300 and GB200 systems for production-ready AI infrastructure
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
On-demand and reserved GPU VMs with configurable vCPU, memory, and storage.
CPU and GPU-backed VMs for general workloads and AI inference.
Dedicated servers and multi-node GPU clusters for high-performance training and rendering.
Hosted model APIs with autoscaling on H100/A100 hardware.
On-demand GPU nodes with SSH access for custom workloads.
Hourly per-GPU pricing with published rates by data center and GPU model
Commitment-based discounts across multiple term lengths for predictable spend and guaranteed supply
Dedicated hardware and multi-node clusters priced per reservation with private networking options
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 and log into the Cudo Compute console.
Pick a location such as Manchester, Stockholm, Kristiansand, Lagos, or US regions to meet latency and sovereignty needs.
Pick your GPU model (e.g., H100, A100 80 GB, L40S, A800, V100) and configure vCPUs, RAM, and storage.
Deploy a single VM, bare-metal server, or scale out with clusters from the console or API.
Attach networking, reserve IPv4, and monitor usage through the dashboard or API endpoints.
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
Global infrastructure across UK, EU, North America, APAC, and Middle East with ISO 27001-certified facilities and sovereign data residency options
Documentation, tutorials, and API reference; sales and support contacts with phone booking plus community channels like Discord.
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.