Loading Comparison
Fetching pricing data and provider information...
Compare GPU and LLM inference API pricing between EcoHash and Gcore. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | EcoHash Price | Gcore Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Gcore | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Gcore | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Gcore | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Gcore | Not Available | 8x GPU | — | |
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • Gcore | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHash | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A100 SXM 80GB VRAM • Gcore | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Gcore | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Gcore | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Gcore | Not Available | 8x GPU | — | |
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • Gcore | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHash | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
| Model ↑ | EcoHash | Gcore | 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.
GPU and inference workloads deployable across 50+ cloud locations and 210+ points of presence worldwide
8-GPU B300 SXM servers and 72-GPU GB300 NVL72 racks offered alongside H200, H100, A100 and L40S
Managed inference platform with autoscaling, fast cold starts and protected endpoints, billed on the compute time actually used
Dedicated 8-GPU bare-metal clusters or single-GPU virtual machines, with multi-node clusters provisioned in a single API call and automatic InfiniBand setup
AI Cloud Stack and Everywhere AI for running models on enterprise, third-party cloud or on-premises infrastructure
Bare-metal GPU clusters and virtual GPU machines provisioned through the console or API
Managed endpoints for running models across Gcore's global footprint
Hourly billing for self-serve GPU virtual machines, charged only while the instance is powered on
Dedicated 8-GPU servers and multi-node clusters, priced per configuration with hourly, monthly and yearly estimates in the GPU Cloud calculator
Billing determined by the exact compute time used, measured down to the minute
B300 and GB300 NVL72 systems, plus third-party cloud and on-premises deployments, are quoted by the sales team
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 the Gcore customer portal
Choose between cloud GPU instances, bare-metal clusters, or the inference platform
Launch via the portal or API and connect over SSH or supported orchestrators
Available across multiple global regions, including the Americas.
Offers support via documentation and community channels.
50+ cloud locations and 210+ points of presence worldwide; bare-metal GPU clusters are offered in a smaller subset of regions such as Luxembourg
Documentation, API reference, help center, status page and technical support plans