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Compare GPU and LLM inference API pricing between EcoHash and Packet AI. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | EcoHash Price | Packet AI Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Packet AI | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Packet AI | Not Available | — | ||
B200 180GB VRAM • | ||||
RTX 4090 24GB VRAM • Packet AI | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHash | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A100 SXM 80GB VRAM • Packet AI | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Packet AI | Not Available | — | ||
B200 180GB VRAM • | ||||
RTX 4090 24GB VRAM • Packet AI | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHash | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
| Model ↑ | EcoHash | Packet AI | 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 | $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.
Direct SSH access to GPU instances with full root control and native performance
VS Code and Jupyter environments accessible directly in the browser
Drop-in replacement for OpenAI APIs with automatic model discovery and streaming support
Deploy GPU instances in under 5 minutes without procurement cycles or contracts
Advanced scheduling technology that optimizes GPU utilization and reduces costs
Pay per second with no long-term commitments or minimum usage requirements
Advanced resource optimization that reduces costs by eliminating idle GPU time
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.
Quick account creation with no credit card required to start
Choose from available NVIDIA GPUs including RTX Pro 6000, H200s, and B200s
Instance ready in under 5 minutes with SSH access or web dashboard
Available across multiple global regions, including the Americas.
Offers support via documentation and community channels.