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Compare GPU and LLM inference API pricing between EcoHash and Runcrate. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.52/hour between comparable GPUs
| GPU Model ↑ | EcoHash Price | Runcrate Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Runcrate | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Runcrate | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Runcrate | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A16 64GB VRAM • Runcrate | Not Available | 2x GPU | — | |
A16 64GB VRAM • Not Available $0.56/hour 2x GPU configuration Updated: 9/20/2026 ★Best Price | ||||
Gaudi 2 96GB VRAM • Runcrate | Not Available | 8x GPU | — | |
Gaudi 2 96GB VRAM • Not Available $1.21/hour 8x GPU configuration Updated: 9/20/2026 ★Best Price | ||||
H100 SXM 80GB VRAM • Runcrate | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Runcrate | Not Available | 8x GPU | — | |
H200 141GB VRAM • Not Available $4.40/hour 8x GPU configuration Updated: 9/19/2026 ★Best Price | ||||
L4 24GB VRAM • Runcrate | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • Runcrate | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Runcrate | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • Runcrate | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • Runcrate | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Runcrate | Not Available | 8x GPU | — | |
RTX 5090 32GB VRAM • Not Available $0.77/hour 8x GPU configuration Updated: 9/19/2026 ★Best Price | ||||
RTX 6000 Ada 48GB VRAM • Runcrate | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A4000 16GB VRAM • Runcrate | Not Available | — | ||
RTX A4000 16GB VRAM • | ||||
A10 24GB VRAM • Runcrate | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Runcrate | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Runcrate | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A16 64GB VRAM • Runcrate | Not Available | 2x GPU | — | |
A16 64GB VRAM • Not Available $0.56/hour 2x GPU configuration Updated: 9/20/2026 ★Best Price | ||||
Gaudi 2 96GB VRAM • Runcrate | Not Available | 8x GPU | — | |
Gaudi 2 96GB VRAM • Not Available $1.21/hour 8x GPU configuration Updated: 9/20/2026 ★Best Price | ||||
H100 SXM 80GB VRAM • Runcrate | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Runcrate | Not Available | 8x GPU | — | |
H200 141GB VRAM • Not Available $4.40/hour 8x GPU configuration Updated: 9/19/2026 ★Best Price | ||||
L4 24GB VRAM • Runcrate | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • Runcrate | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Runcrate | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • Runcrate | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • Runcrate | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Runcrate | Not Available | 8x GPU | — | |
RTX 5090 32GB VRAM • Not Available $0.77/hour 8x GPU configuration Updated: 9/19/2026 ★Best Price | ||||
RTX 6000 Ada 48GB VRAM • Runcrate | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A4000 16GB VRAM • Runcrate | Not Available | — | ||
RTX A4000 16GB VRAM • | ||||
| Model ↑ | EcoHash | Runcrate | Input Diff ↕ |
|---|---|---|---|
Anthropic | Not available | $3.30 in $16.50 out | — |
DeepSeek | Not available | $0.500 in $2.15 out | — |
DeepSeek | Not available | $0.240 in $0.900 out | — |
DeepSeek | $0.910 in $2.72 out | Not available | — |
Google | Not available | $0.150 in $1.25 out | — |
Google | Not available | $0.050 in $0.150 out | — |
Google | Not available | $0.090 in $0.340 out | — |
Zhipu | Not available | $0.060 in $0.400 out | — |
Zhipu | Not available | $0.500 in $2.00 out | — |
Zhipu | Not available | $0.400 in $1.75 out | — |
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 | — |
Meta | Not available | $0.340 in $0.340 out | — |
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.
Token-billed API calls and GPU hours draw on one credit balance with a single invoice, auto-recharge, and credits that do not expire
Chat, image, video, text-to-speech, speech-to-text and embedding models served behind OpenAI-compatible REST endpoints, so existing clients switch by changing the base URL
Bare-metal instances with SSH, Docker and custom images, provisioned in about 60 seconds
An unauthenticated endpoint publishes the live GPU rate card, refreshed every few minutes
Reserved bare-metal from 16 to 128+ nodes with NVLink fabric and managed Slurm job submission
Python and TypeScript SDKs, a Vercel AI SDK provider, a CLI for instance and volume management, and an MCP server for controlling the platform from AI assistants
Self-service bare-metal GPU instances with root access, custom images and persistent volumes, deployable in about 60 seconds and scalable from 1 to 128 nodes
Reserved bare-metal clusters from 16 to 128+ nodes with NVLink fabric and managed Slurm, aimed at multi-node pre-training and fine-tuning
Published per-million-token input and output rates on every model in the catalog, with no minimum and no commitment
GPU instances metered while running with no minimum commitment — stopping the instance stops the meter
Reserved GPU capacity sized to traffic in exchange for a monthly minimum, priced 40–60% below the public rate card and carrying a 99.9% uptime SLA
Custom contract pricing with bring-your-own-cloud and self-hosted deployments, region pinning, and 99.95%/99.99% SLAs with service credits
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 through the console and generate an API key
Fund one balance used by both API calls and GPU hours, optionally with auto-recharge
Point an OpenAI-compatible client at the inference endpoint, or launch a GPU instance from the console or CLI
Available across multiple global regions, including the Americas.
Offers support via documentation and community channels.
Multi-cloud capacity advertised across North America (Los Angeles, Chicago), Europe (Amsterdam, Frankfurt) and Asia-Pacific (Singapore, Mumbai, Sydney, Tokyo); region pinning to US, EU or APAC is an Enterprise-tier option
Documentation, quickstarts and SDK references; email and community Discord on the self-serve plan; Slack Connect with engineers on Dedicated; named customer success manager and on-call engineering on Enterprise