Loading Comparison
Fetching pricing data and provider information...
Compare GPU and LLM inference API pricing between EcoHash and UpCloud. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | EcoHash Price | UpCloud Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
B200 180GB VRAM • UpCloud | Not Available | 2x GPU | — | |
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • UpCloud | Not Available | 2x GPU | — | |
H100 SXM 80GB VRAM • | ||||
L4 24GB VRAM • UpCloud | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • UpCloud | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHash | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
B200 180GB VRAM • UpCloud | Not Available | 2x GPU | — | |
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • UpCloud | Not Available | 2x GPU | — | |
H100 SXM 80GB VRAM • | ||||
L4 24GB VRAM • UpCloud | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • UpCloud | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHash | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
| Model ↑ | EcoHash | UpCloud | 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.
No shared hardware — each GPU is always dedicated to a single server with full performance isolation
Helsinki data center powered entirely by renewable energy with up to 90% waste heat recovery for district heating
GDPR-compliant, ISO 27001-certified infrastructure in Finland; UpCloud is also a CISPE member
No egress fees — outbound data transfer is included at no extra cost on all plans, subject to a Fair Transfer Policy
Pay only for active compute time with hourly billing, no rigid contracts or long-term commitments required
Published uptime commitment covering GPU Servers, Premium and Cloud Native servers, and managed databases; entry-level Starter cloud servers carry a 99.99% SLA
On-demand and spot NVIDIA L4, L40S, H100, and B200 GPU instances with dedicated hardware and AMD EPYC processors
Dedicated private cloud infrastructure with NVIDIA L4, L40S, and H200 NVL GPUs
Hourly billing for L4, L40S, H100, and B200 GPU instances with no upfront commitment — pay only for active compute time
Discounted spot pricing for GPU Servers, offering lower hourly rates for interruptible workloads
Fixed monthly pricing for dedicated private cloud GPU infrastructure with L4, L40S, and H200 NVL
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.
Sign up at upcloud.com and complete account verification; a 30-day free trial with starting credits is available
Choose from NVIDIA L4, L40S, H100, or B200 GPU configurations with varying vCPU and RAM options
Use pre-configured GPU Ubuntu templates to get started quickly with CUDA and ML frameworks
Add block storage devices (1 GB–4 TB each) from any storage tier for your operating system and data
Available across multiple global regions, including the Americas.
Offers support via documentation and community channels.
15 data centers across 12 countries spanning Northern Europe, Central Europe, North America, and Asia Pacific; GPU Servers are concentrated in Helsinki, Finland (Telia Helsinki Data Center)
In-house technical support available 24/7 via live chat and email, plus documentation, tutorials, an API reference at developers.upcloud.com, and a public status page