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What is Eco?

Automated Optimization for AWS Savings Plans and Reserved Instances simplifies the entire journey of planning, acquiring, and refining your cloud commitments portfolio. Eco plays a pivotal role in managing the lifecycle of reserved instances, developing a cloud commitment portfolio that maximizes return on investment while minimizing risk, specifically designed to meet your existing and prospective needs. By identifying and offloading unused capacity and securing appropriate short-term, third-party reservations from the AWS Marketplace, Eco enables you to benefit from long-term pricing options without incurring significant financial obligations. This methodology ensures that you maximize your return on investment from cloud commitment acquisitions through meticulous analysis, adjustments, and alignment of unutilized reserved instances and Savings Plans to meet resource demands. Furthermore, Eco automates the purchasing strategies for reserved instances throughout their lifecycle in the AWS Marketplace, ensuring that workloads consistently benefit from the most advantageous pricing structures. The collaboration between Finance and DevOps teams is significantly improved by offering complete visibility into compute consumption and automating the selection of the most suitable reserved instances, which ultimately results in a more effective cloud resource management strategy. Additionally, these features empower organizations to swiftly adapt to evolving requirements while effectively managing their cloud expenses, fostering a more agile and responsive cloud environment. Ultimately, the integration of such capabilities leads to enhanced operational efficiency and strategic alignment within the organization.

What is GPUBank?

GPUBank operates as a cloud-based service that allows developers, machine-learning professionals, and research teams to lease GPU resources, thereby improving their AI and GPU-heavy tasks. The user-friendly web console enables users to choose between NVIDIA or AMD GPU instances, select a preferred deployment region, and launch pre-set configurations for diverse applications such as model training, inference, fine-tuning, image generation, and framework development. With an array of templates like PyTorch, vLLM, ComfyUI, and Ollama, GPUBank caters to varying project requirements effectively. Furthermore, the platform enhances usability by offering an API, a command-line interface, a Python SDK, and a Terraform provider to streamline resource management and provisioning. GPU compute pricing is billed by the second and includes charges for the CPU, memory, local NVMe storage, public IPv4, and network traffic associated with the selected instance's hourly rate, while additional fees apply for persistent disks. Users can choose from on-demand, interruptible, or reserved capacities across multiple data center locations, allowing them to customize their resource allocation based on specific project needs. This flexibility not only ensures efficiency but also positions GPUBank as an attractive solution for those aiming to manage their computational expenses strategically. As a result, it significantly enhances the overall productivity and effectiveness of various computational projects.

Media

Media

No images available

Integrations Supported

AllCloud Enterprise (ACE)
Amazon Web Services (AWS)
Chef
Cisco Packet Tracer
CloudCheckr
Docker
Google Cloud Platform
HashiCorp Boundary
IBM Cloud
Jenkins
Kubernetes
Microsoft Azure
Rancher
RapidScale Identity as a Service
Spot by NetApp
Upsolver

Integrations Supported

Terraform

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$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.

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Spot by NetApp

Company Location

United States

Company Website

spot.io/product/eco/

Company Facts

Organization Name

GPU Compute

Date Founded

2026

Company Location

Estonia

Company Website

gpubank.io

Categories and Features

Categories and Features

Cloud GPU

Not specified

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