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Compare GPU and LLM inference API pricing between EcoHash and Lyceum. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | EcoHash Price | Lyceum Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Lyceum | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Lyceum | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Lyceum | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Lyceum | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Lyceum | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • Lyceum | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHash | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A100 SXM 80GB VRAM • Lyceum | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Lyceum | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Lyceum | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Lyceum | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Lyceum | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • Lyceum | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHash | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
| Model ↑ | EcoHash | Lyceum | Input Diff ↕ |
|---|---|---|---|
DeepSeek | Not available | $0.300 in $0.450 out | — |
DeepSeek | Not available | $0.250 in $0.300 out | — |
DeepSeek | $0.910 in $2.72 out | $1.75 in $3.50 out | $0.840 |
DeepSeek | Not available | $0.500 in $1.50 out | — |
Zhipu | Not available | $1.00 in $3.20 out | — |
Zhipu | Not available | $1.40 in $4.40 out | — |
Zhipu | $1.00 in $3.00 out | $1.50 in $4.50 out | $0.500 |
Z AI | $1.25 in $4.30 out | $1.75 in $4.50 out | $0.500 |
Z AI | Not available | $0.200 in $0.500 out | — |
Moonshot | Not available | $0.500 in $2.50 out | — |
Kimi | Not available | $1.00 in $4.00 out | — |
Kimi | Not available | $1.25 in $4.50 out | — |
Moonshot | $2.00 in $12.00 out | $3.00 in $15.00 out | $1.00 |
Meta | $0.100 in $0.100 out | Not available | — |
MiniMax | $0.200 in $0.900 out | $0.400 in $2.00 out | $0.200 |
Explore how these providers compare to other popular GPU cloud services
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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.
API access to open-source models with pay-per-token pricing.
Reserved GPU capacity for production models ensuring low latency and high availability.
Run training jobs on GPUs without the need for infrastructure management.
Full root access to customizable GPU instances ready in seconds.
Support for configurations from 8 to 8,000 GPUs with InfiniBand connectivity.
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 an account on the Lyceum platform.
Select between inference, training, or virtual machine options.
Use provided API or CLI instructions to submit your workload.
Utilize dashboard features to track resource usage and performance.
Contact the sales or support team for assistance.
Available across multiple global regions, including the Americas.
Offers support via documentation and community channels.
GPUs hosted in European data centres
Contact support via sales inquiry or demo booking.