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Compare GPU and LLM inference API pricing between EcoHash and Google Cloud. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $1.63/hour between comparable GPUs
| GPU Model ↑ | EcoHash Price | Google Cloud Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Google Cloud | Not Available | 16x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | Not Available | — | ||
L4 24GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHashGoogle Cloud | ↑+$1.63(+630.3%) | |||
RTX PRO 6000 96GB VRAM • $1.89/hour Updated: 8/28/2026 $0.26/hour Updated: 8/18/2026 ★Best Price Price Difference:↑+$1.63(+630.3%) | ||||
Tesla T4 16GB VRAM • Google Cloud | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
A100 SXM 80GB VRAM • Google Cloud | Not Available | 16x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | Not Available | — | ||
L4 24GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHashGoogle Cloud | ↑+$1.63(+630.3%) | |||
RTX PRO 6000 96GB VRAM • $1.89/hour Updated: 8/28/2026 $0.26/hour Updated: 8/18/2026 ★Best Price Price Difference:↑+$1.63(+630.3%) | ||||
Tesla T4 16GB VRAM • Google Cloud | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
| Model ↑ | EcoHash | Google Cloud | Input Diff ↕ |
|---|---|---|---|
DeepSeek | $0.910 in $2.72 out | Not available | — |
Google | Not available | $0.750 in $3.75 out | — |
Google | Not available | $0.750 in $3.75 out | — |
Zhipu | $1.00 in $3.00 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 $0.400 out | Not available | — |
OpenAI | $100.00 in $0.0000 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
Scalable virtual machines with a wide range of machine types, including GPUs.
Managed Kubernetes service for deploying and managing containerized applications.
Event-driven serverless compute platform.
Fully managed serverless platform for containerized applications.
Unified ML platform for building, deploying, and managing ML models.
Spare compute capacity at discounted Spot prices, suitable for fault-tolerant workloads that can be interrupted.
Offers customizable virtual machines running in Google's data centers.
Managed Kubernetes service for running containerized applications.
Serverless compute platform for running code in response to events.
Pay for vCPUs, GPUs, and memory with a one-minute minimum and per-second billing thereafter, with no long-term commitments.
Automatic discounts for running instances for a significant portion of the month.
Discounted rates in exchange for a 1-year or 3-year commitment to a minimum level of resource usage in a region, and combinable with reservations.
Spend-based commitments that apply across eligible machine families and regions rather than to specific resources.
Spare capacity at discounted Spot prices for fault-tolerant workloads that can be preempted.
Set up a project in the Google Cloud Console.
Set up a billing account to pay for resource usage.
Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.
Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.
Use the Cloud Console, command-line tools, or APIs to manage your resources.
40+ regions and 120+ zones worldwide.
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.