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Compare GPU and LLM inference API pricing between AtmosCompute and EcoHash. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.67/hour between comparable GPUs
| GPU Model ↑ | AtmosCompute Price | EcoHash Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • AtmosCompute | 4x GPU | Not Available | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • AtmosCompute | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A40 48GB VRAM • AtmosCompute | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 180GB VRAM • AtmosCompute | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 NVL 94GB VRAM • AtmosCompute | 2x GPU | Not Available | — | |
H100 NVL 94GB VRAM • | ||||
H100 SXM 80GB VRAM • AtmosCompute | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • AtmosCompute | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • AtmosCompute | 2x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • AtmosCompute | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • AtmosCompute | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • AtmosCompute | 2x GPU | Not Available | — | |
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • AtmosCompute | 2x GPU | Not Available | — | |
MI300X 192GB VRAM • | ||||
RTX 3060 12GB VRAM • AtmosCompute | Not Available | — | ||
RTX 3060 12GB VRAM • | ||||
RTX 3060 Ti 8GB VRAM • AtmosCompute | Not Available | — | ||
RTX 3060 Ti 8GB VRAM • | ||||
RTX 3090 24GB VRAM • AtmosCompute | 2x GPU | Not Available | — | |
RTX 3090 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • AtmosCompute | 4x GPU | Not Available | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • AtmosCompute | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A40 48GB VRAM • AtmosCompute | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 180GB VRAM • AtmosCompute | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 NVL 94GB VRAM • AtmosCompute | 2x GPU | Not Available | — | |
H100 NVL 94GB VRAM • | ||||
H100 SXM 80GB VRAM • AtmosCompute | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • AtmosCompute | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • AtmosCompute | 2x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • AtmosCompute | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • AtmosCompute | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • AtmosCompute | 2x GPU | Not Available | — | |
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • AtmosCompute | 2x GPU | Not Available | — | |
MI300X 192GB VRAM • | ||||
RTX 3060 12GB VRAM • AtmosCompute | Not Available | — | ||
RTX 3060 12GB VRAM • | ||||
RTX 3060 Ti 8GB VRAM • AtmosCompute | Not Available | — | ||
RTX 3060 Ti 8GB VRAM • | ||||
RTX 3090 24GB VRAM • AtmosCompute | 2x GPU | Not Available | — | |
RTX 3090 24GB VRAM • | ||||
| Model ↑ | AtmosCompute | EcoHash | Input Diff ↕ |
|---|---|---|---|
DeepSeek | Not available | $0.910 in $2.72 out | — |
Zhipu | Not available | $1.00 in $3.00 out | — |
Z AI | Not available | $1.25 in $4.30 out | — |
Moonshot | Not available | $2.00 in $12.00 out | — |
Meta | Not available | $0.100 in $0.100 out | — |
MiniMax | Not available | $0.200 in $0.900 out | — |
Alibaba | Not available | $0.150 in $0.500 out | — |
Alibaba | Not available | $0.090 in $0.370 out | — |
Alibaba | Not available | $1.90 in $5.70 out | — |
Alibaba | Not available | $0.400 in $0.800 out | — |
Alibaba | Not available | $0.400 in $0.400 out | — |
Explore how these providers compare to other popular GPU cloud services
Compare AtmosCompute with another leading provider
Compare AtmosCompute with another leading provider
Compare AtmosCompute with another leading provider
Compare AtmosCompute with another leading provider
Compare AtmosCompute with another leading provider
Compare AtmosCompute with another leading provider
Launch GPU servers in approximately 30 seconds.
Hourly billing without hidden fees.
Easily deploy containers with minimal commands.
Full REST API available for automation.
Isolated environments with controlled access.
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.
Instant registration without unnecessary data.
Specify the video card model and resource requirements.
Use SSH, RDP, or API for connection.
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.
Email support available.
Available across multiple global regions, including the Americas.
Offers support via documentation and community channels.