Zeblok Ai-MicroCloud® is an end to end, Ai Application Lifecycle Management platform that serves as a Digital Foundation for Enterprise Ai. The Ai-MicroCloud® provides built-in workflows for provisioning and orchestrating Artificial Intelligence workloads. Using the platform, Foundational Models, and other multi-class Ai Assets such as LLMs, voice, vision, as well as home grown and third party algorithms, can be aggregated and fine-tuned for reuse and collaboration. The Ai-MicroCloud® works in a hybrid-multicloud environment, and supports heterogeneous chip architectures ensuring flexibility, control and better resource management. The benefits of Ai-MicroCloud® include improving modeler and ops productivity, establishment of better machine learning operations, and decentralized machine learning operations. The Ai-MicroCloud® Basic edition works on the AWS Public Cloud environment.
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Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
You buy Ai-MicroCloud® Basic under a contract, and you pick a compute size measured in units. Both options provision three instances that host your private AI cloud on your hardware. MicroCloud Basic Small gives you three t3.medium instances, each with 2 vCPUs and 4 GiB of RAM, for lighter workloads. MicroCloud Basic Large gives you three g2.2xlarge instances, each with 8 vCPUs, 15 GiB of RAM, and 1 GPU, for GPU-backed tasks. The two sizes are alternatives, so you choose based on the compute and GPU capacity your workload needs.
Top-of-mind questions for buyers
What does one "unit" cover, and does buying more units add more instances?
Each unit provisions a set of three cloud instances that host your private AI cloud. For MicroCloud Basic Small, that means three t3.medium instances. For MicroCloud Basic Large, three g2.2xlarge instances with a GPU each. Buying more units adds more instance sets of that same size.
What is the practical difference between the Small and Large sizes for my workload?
MicroCloud Basic Small provides CPU-only instances with 2 vCPUs and 4 GiB RAM each, suited to lighter tasks. MicroCloud Basic Large provides 8 vCPUs, 15 GiB RAM, and one GPU per instance. The GPU supports model training, fine-tuning, and inference workloads that need graphics acceleration.
Can I run both the Small and Large sizes at the same time?
The two sizes are separate contract dimensions billed independently. You can select the size that matches your compute and GPU needs. If you need both CPU-only and GPU-backed capacity, you can commit to units under each dimension, and both appear on the same invoice.
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Zeblok Professional Services is your trusted partner for Enterprise AI success, specializing in the seamless integration and optimization of the Zeblok Ai-MicroCloud® platform. Our expert consultation, agile installation, and ongoing support ensure you harness the full potential of AI for innovation and growth. Unlock the future of your business with Zeblok.
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