GPUBank

GPUBank

GPU Compute
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About

AceCloud is a comprehensive public cloud and cybersecurity platform designed to support businesses with scalable, secure, and high-performance infrastructure. Its public cloud services include compute options tailored for RAM-intensive, CPU-intensive, and spot instances, as well as cloud GPU offerings featuring NVIDIA A2, A30, A100, L4, L40S, RTX A6000, RTX 8000, and H100 GPUs. It provides Infrastructure as a Service (IaaS), enabling users to deploy virtual machines, storage, and networking resources on demand. Storage solutions encompass object storage, block storage, volume snapshots, and instance backups, ensuring data integrity and accessibility. AceCloud also offers managed Kubernetes services for container orchestration and supports private cloud deployments, including fully managed cloud, one-time deployment, hosted private cloud, and virtual private servers.

About

GPUBank is a cloud GPU rental platform for developers, machine-learning practitioners, and research teams that need accelerated compute for AI and other GPU workloads. Through its web console, customers can select NVIDIA or AMD GPU instances, choose a deployment region, and start preconfigured environments for tasks such as model training, inference, fine-tuning, image generation, and framework development. Available templates include PyTorch, vLLM, ComfyUI, and Ollama. The service provides an API, command-line interface, Python SDK, and Terraform provider for provisioning and usage management. GPU compute is priced by the second, with the selected instance's CPU, memory, local NVMe storage, public IPv4, and network traffic included in the hourly rate; persistent disks are billed separately. Customers can use on-demand, interruptible, or reserved capacity across listed data-center regions.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Businesses and developers searching for a solution offering scalable computing resources

Audience

GPUBank is a cloud GPU rental platform offering affordable, on-demand NVIDIA and AMD GPUs for AI training, machine learning, LLM inference, and generative AI workloads with flexible pay-per-second billing.

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

$0.0073 per hour
Free Version Not Supported
Free Trial Not Supported

Pricing

$0.23/GPU/hour
On-demand RTX 4090 compute starts at $0.23 per GPU-hour, billed by the second with no minimum compute duration. Prices are in USD and exclude VAT. Customers add funds to a prepaid balance using cryptocurrency, with a $25 minimum top-up. Compute price includes vCPU, RAM, local NVMe, one public IPv4 address, and traffic. Persistent disk is $0.03 per GB-month. Interruptible and reserved rates are available at discounts from on-demand pricing.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 4.7 / 5
ease 4.0 / 5
features 4.7 / 5
design 4.3 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Pros & Cons from Real Users

Pros

  • We are using AceCloud gpu compute (Nvidia A2) for our RuralGrow AI project, mainly for machine learning development and model testing. The pricing is reasonable for our budget and the gpu options are suitable for our requirements. Their technical support team has also been helpful whenever we needed guidance. Overall it is a good option for a small ai project like ours.
  • AceCloud has been fairly easy to work with for our day-to-day cloud requirements. The interface is straightforward, setup was manageable, and the overall experience has been consistent. I also like having the main services and management options available without making the workflow unnecessarily complicated.
  • We use AceCloud Standard Instance to host our website, and it has been a reliable experience. The server is stable, website performance has been consistent, and setting everything up was straightforward. We were able to connect our usual tools like SSH, Git, and monitoring services without any issues. The support team is also responsive whenever we need help.

Cons

  • We haven't faced any major issues so far. I think they can improve their documentation and proved more step by step guides for gpu setup and configuration in video guide forms. This world be helpful for developers who are new to cloud GPUs.
  • There is still some room for improvement in terms of documentation and making certain advanced settings easier to understand. A few workflows can take some trial and error when you're using them for the first time.
  • We have not faced any major issues so far. The dashboard has many options, so it takes a little time to get familiar with it. Some of the setup guides could also include more detailed instructions for new users.

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

AceCloud
United States
acecloud.ai/

Company Information

GPU Compute
Founded: 2026
Estonia
gpubank.io

Alternatives

Alternatives

gpu.nz

gpu.nz

Transtrade
Nextify

Nextify

Nextify Now

Categories

AI Cloud Providers Supported
Cloud GPU Supported
Cloud Storage Supported
Object Storage Supported

Categories

Cloud GPU Supported

Integrations

Amazon CloudFront Supported
Amazon Web Services (AWS) Supported
IBM Cloud Veeam Supported
Kubernetes Supported
Microsoft Azure Supported
Terraform Not Supported
VMware Cloud Supported
Windows 10 Supported

Integrations

Amazon CloudFront Not Supported
Amazon Web Services (AWS) Not Supported
IBM Cloud Veeam Not Supported
Kubernetes Not Supported
Microsoft Azure Not Supported
Terraform Supported
VMware Cloud Not Supported
Windows 10 Not Supported
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