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KrakenDEngineered for peak performance and efficient resource use, KrakenD can manage a staggering 70k requests per second on just one instance. Its stateless build ensures hassle-free scalability, sidelining complications like database upkeep or node synchronization. In terms of features, KrakenD is a jack-of-all-trades. It accommodates multiple protocols and API standards, offering granular access control, data shaping, and caching capabilities. A standout feature is its Backend For Frontend pattern, which consolidates various API calls into a single response, simplifying client interactions. On the security front, KrakenD is OWASP-compliant and data-agnostic, streamlining regulatory adherence. Operational ease comes via its declarative setup and robust third-party tool integration. With its open-source community edition and transparent pricing model, KrakenD is the go-to API Gateway for organizations that refuse to compromise on performance or scalability.
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Description
GPUBank serves as a cloud-based platform where developers, machine-learning experts, and research groups can rent GPU resources to enhance their AI and GPU-intensive workloads. Users can easily navigate the web console to select either NVIDIA or AMD GPU instances, pick a deployment location, and initiate pre-configured setups for a variety of purposes, including model training, inference, fine-tuning, image generation, and framework development. The platform offers a range of templates, such as PyTorch, vLLM, ComfyUI, and Ollama, catering to diverse project needs. Additionally, GPUBank provides an API, a command-line interface, a Python SDK, and a Terraform provider to facilitate easy provisioning and management of usage. Pricing for GPU compute is calculated per second and encompasses the costs for the chosen instance's CPU, memory, local NVMe storage, public IPv4, and network traffic as part of the hourly rate; however, persistent disks incur additional charges. Customers have the flexibility to opt for on-demand, interruptible, or reserved capacity across various data center locations, ensuring they can tailor their resources to fit specific project requirements effectively. This versatility makes GPUBank an appealing choice for those looking to optimize their computational needs in a cost-effective manner.
Description
Oracle Cloud Infrastructure (OCI) offers a range of compute options that are not only speedy and flexible but also cost-effective, catering to various workload requirements, including robust bare metal servers, virtual machines, and efficient containers. OCI Compute stands out by providing exceptionally adaptable VM and bare metal instances that ensure optimal price-performance ratios. Users can tailor the exact number of cores and memory to align with their applications' specific demands, which translates into high performance for enterprise-level tasks. Additionally, the platform simplifies the application development process through serverless computing, allowing users to leverage technologies such as Kubernetes and containerization. For those engaged in machine learning, scientific visualization, or other graphic-intensive tasks, OCI offers NVIDIA GPUs designed for performance. It also includes advanced capabilities like RDMA, high-performance storage options, and network traffic isolation to enhance overall efficiency. With a consistent track record of delivering superior price-performance compared to other cloud services, OCI's virtual machine shapes provide customizable combinations of cores and memory. This flexibility allows customers to further optimize their costs by selecting the precise number of cores needed for their workloads, ensuring they only pay for what they use. Ultimately, OCI empowers organizations to scale and innovate without compromising on performance or budget.
API Access
Has API
Yes
API Access
Has API
No
Screenshots View All
No images available
Integrations
CentOS
No
Kubernetes
No
Oracle Cloud Infrastructure
No
Oracle Linux
No
Terraform
Yes
Ubuntu
No
VMware Cloud
No
Integrations
CentOS
Yes
Kubernetes
Yes
Oracle Cloud Infrastructure
Yes
Oracle Linux
Yes
Terraform
No
Ubuntu
Yes
VMware Cloud
Yes
Pricing Details
$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 Trial
No
Free Version
No
Pricing Details
$0.007 per hour
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
GPU Compute
Founded
2026
Country
Estonia
Website
gpubank.io
Vendor Details
Company Name
Oracle
Country
United States
Website
www.oracle.com/cloud/compute/
