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Compare GPU and LLM inference API pricing between EcoHash and Verda. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.96/hour between comparable GPUs
| GPU Model ↑ | EcoHash Price | Verda Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Verda | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Verda | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Verda | Not Available | — | ||
B200 180GB VRAM • | ||||
GB300 576GB VRAM • Verda | Not Available | 2x GPU | — | |
GB300 576GB VRAM • | ||||
H100 SXM 80GB VRAM • Verda | Not Available | 8x GPU | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Verda | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Verda | Not Available | 2x GPU | — | |
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • Verda | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Verda | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • Verda | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHashVerda | 2x GPU | ↑+$0.96(+103.2%) | ||
Tesla V100 32GB VRAM • Verda | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
A100 PCIE 40GB VRAM • Verda | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Verda | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Verda | Not Available | — | ||
B200 180GB VRAM • | ||||
GB300 576GB VRAM • Verda | Not Available | 2x GPU | — | |
GB300 576GB VRAM • | ||||
H100 SXM 80GB VRAM • Verda | Not Available | 8x GPU | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Verda | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Verda | Not Available | 2x GPU | — | |
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • Verda | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Verda | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • Verda | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHashVerda | 2x GPU | ↑+$0.96(+103.2%) | ||
Tesla V100 32GB VRAM • Verda | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
| Model ↑ | EcoHash | Verda | Input Diff ↕ |
|---|---|---|---|
DeepSeek | $0.910 in $2.72 out | Not available | — |
Zhipu | $1.00 in $3.00 out | Not available | — |
Z AI | $1.25 in $4.30 out | Not available | — |
Moonshot | $2.00 in $12.00 out | Not available | — |
Meta | $0.100 in $0.100 out | Not available | — |
MiniMax | $0.200 in $0.900 out | Not available | — |
Alibaba | $0.150 in $0.500 out | Not available | — |
Alibaba | $0.090 in $0.370 out | Not available | — |
Alibaba | $1.90 in $5.70 out | Not available | — |
Alibaba | $0.400 in $0.800 out | Not available | — |
Alibaba | $0.400 in $0.400 out | Not available | — |
Explore how these providers compare to other popular GPU cloud services
Compare EcoHash with another leading provider
Compare EcoHash with another leading provider
Compare EcoHash with another leading provider
Compare EcoHash with another leading provider
Compare EcoHash with another leading provider
Compare EcoHash with another leading provider
Offers configurations with 1, 2, 4, or 8 RTX Pro 6000 GPUs.
Supports automatic selection of LoRA/QLoRA fine-tuning over 1-4 GPUs.
Provides an API compatible with OpenAI for various AI models.
Users get full root access with shared filesystems on RTX Pro environments.
Inference endpoints can be deployed across multiple regions with failover.
Complete platform for AI development from experimentation to production deployment
InfiniBand and NVLink for efficient multi-GPU communication and clustering
ISO 27001/27017/27018/27701 certified with GDPR compliance and EU sovereignty
100% renewable energy-powered Nordic data centers
Web console, API, SDK, Verda CLI, Terraform and OpenTofu providers, and comprehensive documentation
Internal research team contributing to open inference projects such as SGLang and vLLM and co-researching with customers
On-demand virtual machines with 1x-8x NVIDIA GPUs and NVLink interconnects
Self-service access to 16x-128x GPU clusters with InfiniBand
Custom-built GPU clusters tailored to specifications
Transparent hourly pricing with no upfront commitments
Access spare capacity at significant discounts for flexible workloads
Volume discounts up to 25% with 1-2 year commitments
Create an account on the EcoHash platform.
Select the desired GPU instances for your project.
Consult the EcoHash documentation to understand available features.
Launch your GPU environment for training or inference.
Start using the API for model inference or training tasks.
Create account at console.verda.com with email or GitHub
Add credit card for pay-as-you-go billing
Select GPU model and configuration, deploy in minutes
SSH access, JupyterLab, or API integration for your ML workloads
Available across multiple global regions, including the Americas.
Offers support via documentation and community channels.
European data centers with focus on Nordic locations for optimal sustainability
Expert AI/ML infrastructure support team, comprehensive documentation, 99.9%+ uptime SLA