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Compare GPU and LLM inference API pricing between Cudo Compute and Runpod. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.43/hour between comparable GPUs
| GPU Model ↑ | Cudo Compute Price | Runpod Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Cudo ComputeRunpod | ↑+$0.31(+26.1%) | |||
A100 PCIE 40GB VRAM • $1.50/hour Updated: 9/12/2026 $1.19/hour Updated: 9/12/2026 ★Best Price Price Difference:↑+$0.31(+26.1%) | ||||
A100 SXM 80GB VRAM • Runpod | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A40 48GB VRAM • Runpod | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 180GB VRAM • Runpod | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 NVL 94GB VRAM • Runpod | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 PCIe 80GB VRAM • Runpod | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo ComputeRunpod | ↓$0.90(33.5%) | |||
H100 SXM 80GB VRAM • $1.79/hour Updated: 9/12/2026 ★Best Price $2.69/hour Updated: 9/12/2026 Price Difference:↓$0.90(33.5%) | ||||
H200 141GB VRAM • Runpod | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Runpod | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Runpod | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • Runpod | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Cudo ComputeRunpod | ↑+$0.08(+10.1%) | |||
L40S 48GB VRAM • $0.87/hour Updated: 9/12/2026 $0.79/hour Updated: 9/12/2026 ★Best Price Price Difference:↑+$0.08(+10.1%) | ||||
MI300X 192GB VRAM • Runpod | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX 3070 8GB VRAM • Runpod | Not Available | — | ||
RTX 3070 8GB VRAM • | ||||
RTX 3080 10GB VRAM • Runpod | Not Available | — | ||
RTX 3080 10GB VRAM • | ||||
A100 PCIE 40GB VRAM • Cudo ComputeRunpod | ↑+$0.31(+26.1%) | |||
A100 PCIE 40GB VRAM • $1.50/hour Updated: 9/12/2026 $1.19/hour Updated: 9/12/2026 ★Best Price Price Difference:↑+$0.31(+26.1%) | ||||
A100 SXM 80GB VRAM • Runpod | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A40 48GB VRAM • Runpod | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 180GB VRAM • Runpod | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 NVL 94GB VRAM • Runpod | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 PCIe 80GB VRAM • Runpod | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo ComputeRunpod | ↓$0.90(33.5%) | |||
H100 SXM 80GB VRAM • $1.79/hour Updated: 9/12/2026 ★Best Price $2.69/hour Updated: 9/12/2026 Price Difference:↓$0.90(33.5%) | ||||
H200 141GB VRAM • Runpod | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Runpod | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Runpod | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • Runpod | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Cudo ComputeRunpod | ↑+$0.08(+10.1%) | |||
L40S 48GB VRAM • $0.87/hour Updated: 9/12/2026 $0.79/hour Updated: 9/12/2026 ★Best Price Price Difference:↑+$0.08(+10.1%) | ||||
MI300X 192GB VRAM • Runpod | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX 3070 8GB VRAM • Runpod | Not Available | — | ||
RTX 3070 8GB VRAM • | ||||
RTX 3080 10GB VRAM • Runpod | Not Available | — | ||
RTX 3080 10GB VRAM • | ||||
| Model ↑ | Cudo Compute | Runpod | Input Diff ↕ |
|---|---|---|---|
Kimi | Not available | $0.950 in $4.00 out | — |
Kimi | Not available | $0.950 in $4.00 out | — |
Moonshot | Not available | $3.00 in $15.00 out | — |
Alibaba | Not available | $10.00 in $10.00 out | — |
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
Dedicated access to NVIDIA GPUs including GB300, B300, VR200, GB200 NVL72, HGX B200, H200, and H100 in SXM and PCIe form factors
Multi-node GPU clusters for training and inference, commissioned to acceptance criteria before entering production
Infrastructure across the UK, EU, North America, APAC, and the Middle East with in-region options for latency, residency, and regulatory needs
Foundational SRE included as standard with 24/7 monitoring, incident response, firmware management, and NVIDIA escalation paths
REST API and documented workflows for provisioning, scaling, and lifecycle automation
Controlled environments for enterprise and regulated workloads with jurisdictional control and sovereign data residency enforcement
Access to a wide range of GPU types with enterprise-grade security
Only pay for the compute time you actually use
Programmatically manage your GPU instances via REST API
Pods typically ready in 20-30 s
SSH & VS Code tunnels built-in
Automatic migration on pre-empt
On-demand and reserved GPU VMs with configurable vCPU, memory, and storage.
Dedicated multi-node GPU clusters for high-performance training and inference.
InfiniBand and Ethernet fabrics with high-performance storage for cluster workloads.
On‑demand single‑node GPU instances in Secure Cloud (data‑center hosted) or lower‑cost Community Cloud, with flexible templates and storage.
Pay‑per‑second endpoints with automatic scaling for production AI/ML applications.
Fully managed multi‑node GPU clusters with high‑speed networking between nodes.
Hourly per-GPU billing for virtual machine instances with no commitment
GPU systems in the published catalog are priced on request, with enquiries handled by the sales team
Consumption-based commercial structures for predictable spend on long-term deployments
Multi-year structures with defined upgrade paths across GPU generations and into multi-site environments
Pods hosted in vetted data centers; higher reliability tier
Pods on vetted community hosts at lower rates than Secure Cloud
Interruptible capacity at reduced prices
Pay-per-second billing for endpoint execution time, with automatic scaling and no charge when idle
Submit an enquiry from the pricing or contact page describing your workload, capacity, and region requirements.
Select a jurisdiction in the UK, EU, North America, APAC, or the Middle East to meet latency, residency, and compliance needs.
Cudo produces an NVIDIA reference-aligned architecture covering InfiniBand fabric, storage, power, cooling, and rack layout.
Systems are sourced through OEM channels including Dell, Lenovo, Supermicro, and HPE, then installed at power-ready sites against confirmed timelines.
Clusters are commissioned to acceptance criteria and operated with 24/7 monitoring, incident response, and firmware management.
Sign up for Runpod using your email or GitHub account
Add a credit card or cryptocurrency payment method
Select a template and GPU type to launch your first instance
Global infrastructure across UK, EU, North America, APAC, and Middle East with ISO 27001-certified facilities and sovereign data residency options
Enterprise SLAs with 24/7 infrastructure monitoring, L3 incident response, and lifecycle operations delivered by NVIDIA-certified engineers; sales and technical enquiries via the contact page.
Documentation site, support request form, public status page, and a community Discord