Compare Aruba Jelastic Cloud vs. IREN Cloud in 2026

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Description

Jelastic Cloud provides a highly scalable cloud solution that integrates the PaaS (Platform as a Service) and CaaS (Container as a Service) frameworks to optimize virtualized resources. Utilizing container technology, Jelastic employs micro clouds known as cloudlets, which feature 128MB of RAM and 400MHz of vCPU, accessible directly through the platform. Users can choose between a pay-per-use model or preconfigured plans with monthly subscriptions. This service empowers users to swiftly create, modify, and duplicate their desired environments within seconds. The infrastructure is dynamically shaped in real-time, leveraging the virtualization of various resources such as storage, servers, load balancers, and databases, along with support for multiple technologies like Docker, Ruby, PHP, and Java. Jelastic Cloud accommodates diverse pricing structures, including flat-rate options and a flexible pay-as-you-go model, allowing users to benefit from its scalability while only incurring costs for the resources they actively utilize. Additionally, the platform's versatility makes it suitable for a range of applications, catering to both small projects and enterprise-level needs.

Description

IREN’s AI Cloud is a cutting-edge GPU cloud infrastructure that utilizes NVIDIA's reference architecture along with a high-speed, non-blocking InfiniBand network capable of 3.2 TB/s, specifically engineered for demanding AI training and inference tasks through its bare-metal GPU clusters. This platform accommodates a variety of NVIDIA GPU models, providing ample RAM, vCPUs, and NVMe storage to meet diverse computational needs. Fully managed and vertically integrated by IREN, the service ensures clients benefit from operational flexibility, robust reliability, and comprehensive 24/7 in-house support. Users gain access to performance metrics monitoring, enabling them to optimize their GPU expenditures while maintaining secure and isolated environments through private networking and tenant separation. The platform empowers users to deploy their own data, models, and frameworks such as TensorFlow, PyTorch, and JAX, alongside container technologies like Docker and Apptainer, all while granting root access without any limitations. Additionally, it is finely tuned to accommodate the scaling requirements of complex applications, including the fine-tuning of extensive language models, ensuring efficient resource utilization and exceptional performance for sophisticated AI projects.