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Compare GPU and LLM inference API pricing between EcoHash and Omega Gradient. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.41/hour between comparable GPUs
| GPU Model ↑ | EcoHash Price | Omega Gradient Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Omega Gradient | Not Available | 8x GPU | — | |
A100 PCIE 40GB VRAM • Not Available $1.47/hour 8x GPU configuration Updated: 8/26/2026 ★Best Price | ||||
A100 SXM 80GB VRAM • Omega Gradient | Not Available | 4x GPU | — | |
A100 SXM 80GB VRAM • Not Available $1.42/hour 4x GPU configuration Updated: 8/22/2026 ★Best Price | ||||
A40 48GB VRAM • Omega Gradient | Not Available | — | ||
A40 48GB VRAM • | ||||
GH200 96GB VRAM • Omega Gradient | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Omega Gradient | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Omega Gradient | Not Available | 8x GPU | — | |
H200 141GB VRAM • Not Available $3.36/hour 8x GPU configuration Updated: 8/26/2026 ★Best Price | ||||
L40 40GB VRAM • Omega Gradient | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Omega Gradient | Not Available | 2x GPU | — | |
L40S 48GB VRAM • Not Available $0.93/hour 2x GPU configuration Updated: 8/26/2026 ★Best Price | ||||
RTX 4090 24GB VRAM • Omega Gradient | Not Available | 8x GPU | — | |
RTX 4090 24GB VRAM • Not Available $0.42/hour 8x GPU configuration Updated: 8/26/2026 ★Best Price | ||||
RTX 5090 32GB VRAM • Omega Gradient | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Omega Gradient | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • Omega Gradient | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHashOmega Gradient | ↓$0.41(17.8%) | |||
RTX PRO 6000 96GB VRAM • $1.89/hour Updated: 9/4/2026 ★Best Price $2.30/hour Updated: 8/26/2026 Price Difference:↓$0.41(17.8%) | ||||
Tesla V100 32GB VRAM • Omega Gradient | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
A100 PCIE 40GB VRAM • Omega Gradient | Not Available | 8x GPU | — | |
A100 PCIE 40GB VRAM • Not Available $1.47/hour 8x GPU configuration Updated: 8/26/2026 ★Best Price | ||||
A100 SXM 80GB VRAM • Omega Gradient | Not Available | 4x GPU | — | |
A100 SXM 80GB VRAM • Not Available $1.42/hour 4x GPU configuration Updated: 8/22/2026 ★Best Price | ||||
A40 48GB VRAM • Omega Gradient | Not Available | — | ||
A40 48GB VRAM • | ||||
GH200 96GB VRAM • Omega Gradient | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Omega Gradient | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Omega Gradient | Not Available | 8x GPU | — | |
H200 141GB VRAM • Not Available $3.36/hour 8x GPU configuration Updated: 8/26/2026 ★Best Price | ||||
L40 40GB VRAM • Omega Gradient | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Omega Gradient | Not Available | 2x GPU | — | |
L40S 48GB VRAM • Not Available $0.93/hour 2x GPU configuration Updated: 8/26/2026 ★Best Price | ||||
RTX 4090 24GB VRAM • Omega Gradient | Not Available | 8x GPU | — | |
RTX 4090 24GB VRAM • Not Available $0.42/hour 8x GPU configuration Updated: 8/26/2026 ★Best Price | ||||
RTX 5090 32GB VRAM • Omega Gradient | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Omega Gradient | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • Omega Gradient | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHashOmega Gradient | ↓$0.41(17.8%) | |||
RTX PRO 6000 96GB VRAM • $1.89/hour Updated: 9/4/2026 ★Best Price $2.30/hour Updated: 8/26/2026 Price Difference:↓$0.41(17.8%) | ||||
Tesla V100 32GB VRAM • Omega Gradient | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
| Model ↑ | EcoHash | Omega Gradient | 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 | $0.400 in $0.400 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.
Catalog of GPU listings from multiple suppliers, deployable as containers, VMs, or bare metal, with per-listing region, fabric (PCIe, SXM, NVLink), and boot-time details
Request-based sourcing for reserved capacity, matching workload requirements against a tracked supplier network with responses targeted within 24 hours
Monitors suppliers and public price sources across regions, publishing a cloud GPU price index and supplier pricing reports for benchmarking before commitment
Listings show a single all-in hourly price with per-GPU breakdowns; billing is prepaid from credits and accrues per hour only while an instance exists
Sources capacity from many independent suppliers rather than operating its own data centers, comparing options across price, region, and hardware configuration
Marketplace listings deployable as containers, VMs, or bare metal across supplier regions.
Brokered sourcing of reserved GPU clusters from the tracked supplier network.
Published market data covering supplier pricing and availability.
Single all-in hourly price per listing, prepaid from credits and billed only while the instance exists
Quoted per sourcing request through the desk, with terms set by the matched supplier
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.
Open the live compute catalog and filter listings by GPU model, region, and configuration.
Pick a listing, from single GPUs up to multi-GPU clusters, and review its all-in hourly rate.
Select Ubuntu with CUDA, PyTorch, or JupyterLab as the instance image.
Provide an SSH public key or generate one in the browser for instance access.
Launch the instance; billing accrues hourly from prepaid credits while it runs. For reserved clusters, submit a sourcing request instead and await matched options.
Available across multiple global regions, including the Americas.
Offers support via documentation and community channels.
Marketplace inventory across US East, Central, and West, Canada, Europe West and East, and Asia Northeast, with availability tracked across nineteen regions
Live marketplace with per-listing details; sourcing desk requests answered within 24 hours