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Compare GPU and LLM inference API pricing between AceCloud and EcoHash. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.30/hour between comparable GPUs
| GPU Model ↑ | AceCloud Price | EcoHash Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • AceCloud | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A2 16GB VRAM • AceCloud | 2x GPU | Not Available | — | |
A2 16GB VRAM • | ||||
A30 24GB VRAM • AceCloud | 2x GPU | Not Available | — | |
A30 24GB VRAM • | ||||
H100 SXM 80GB VRAM • AceCloud | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • AceCloud | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • AceCloud | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • AceCloud | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • AceCloud | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • AceCloud | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 4500 32GB VRAM • AceCloud | Not Available | — | ||
RTX PRO 4500 32GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • AceCloudEcoHash | ↑+$0.30(+16.0%) | |||
RTX PRO 6000 96GB VRAM • $2.19/hour Updated: 9/20/2026 $1.89/hour Updated: 9/17/2026 ★Best Price Price Difference:↑+$0.30(+16.0%) | ||||
A100 SXM 80GB VRAM • AceCloud | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A2 16GB VRAM • AceCloud | 2x GPU | Not Available | — | |
A2 16GB VRAM • | ||||
A30 24GB VRAM • AceCloud | 2x GPU | Not Available | — | |
A30 24GB VRAM • | ||||
H100 SXM 80GB VRAM • AceCloud | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • AceCloud | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • AceCloud | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • AceCloud | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • AceCloud | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • AceCloud | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 4500 32GB VRAM • AceCloud | Not Available | — | ||
RTX PRO 4500 32GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • AceCloudEcoHash | ↑+$0.30(+16.0%) | |||
RTX PRO 6000 96GB VRAM • $2.19/hour Updated: 9/20/2026 $1.89/hour Updated: 9/17/2026 ★Best Price Price Difference:↑+$0.30(+16.0%) | ||||
| Model ↑ | AceCloud | EcoHash | Input Diff ↕ |
|---|---|---|---|
DeepSeek | Not available | $0.910 in $2.72 out | — |
Zhipu | Not available | $1.00 in $3.00 out | — |
Z AI | Not available | $1.25 in $4.30 out | — |
Moonshot | Not available | $2.00 in $12.00 out | — |
Meta | Not available | $0.100 in $0.100 out | — |
MiniMax | Not available | $0.200 in $0.900 out | — |
Alibaba | Not available | $0.150 in $0.500 out | — |
Alibaba | Not available | $0.090 in $0.370 out | — |
Alibaba | Not available | $1.90 in $5.70 out | — |
Alibaba | Not available | $0.400 in $0.800 out | — |
Alibaba | Not available | $0.400 in $0.400 out | — |
Explore how these providers compare to other popular GPU cloud services
Compare AceCloud with another leading provider
Compare AceCloud with another leading provider
Compare AceCloud with another leading provider
Compare AceCloud with another leading provider
Compare AceCloud with another leading provider
Compare AceCloud with another leading provider
On-demand NVIDIA GPUs including A2, A30, L4, L40S, A100, H100, H200, RTX A6000, RTX 6000 Ada, RTX PRO 6000, and RTX 8000 for AI training, inference, GenAI, rendering, VFX, HPC, and data analytics
Published GPU instance pricing with monthly plans, longer-term commitment savings, and pay-as-you-go options with no hidden charges
Managed Kubernetes with GPU node groups, autoscaling clusters, NVIDIA GPU Operator support, managed control plane, custom node pools, observability, and built-in security
Cloud compute on AMD EPYC and Intel Xeon processors with NVMe storage, one-click deployments, autoscaling, backups, and scalable VM resources
Cloud storage, S3-compatible object storage, block storage, managed databases, VPC networking, load balancers, floating IPs, firewall/security groups, DDoS protection, and private networking
ISO-certified environments, data sovereignty, VPC isolation, multi-zone redundancy, and a 99.99% uptime SLA
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.
GPU cloud servers for AI training, inference, GenAI, HPC, rendering, VFX, and video processing
Managed Kubernetes GPU clusters with autoscaling, GPU Operator support, managed control plane, observability, and high availability
CPU, RAM, standard, and GPU-powered virtual machines with AMD/Intel processors and NVMe storage
Hourly usage-based pricing for GPU and compute instances
Monthly pricing for GPU instances
Savings for longer-term commitments on GPU and compute resources
Lower-cost capacity for flexible or fault-tolerant workloads
Sign up for an AceCloud account, optionally starting with free credits
Select a GPU, compute, Kubernetes, storage, database, or networking service
Choose region, operating system/image, instance flavor, storage, network, and security settings
Launch the instance or cluster from the AceCloud console
Monitor, resize, back up, scale, or manage workloads from the dashboard
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.
India-first infrastructure with data centers in India (Mumbai, Noida) and the USA. GPU pricing is shown in USD for the Mumbai 2 and US East (Atlanta) regions, derived from monthly rates.
24/7 human support with cloud experts, migration assistance, sales and support contacts, documentation, knowledge base, and consultation options.
Available across multiple global regions, including the Americas.
Offers support via documentation and community channels.