Sold by: Ryax Technoogies
Ryax is an AI-driven compute and workflow management platform which optimizes the computing resources utilization (CPU, GPU, RAM), and provides a smart orchestration to enable an efficient and cost-effective deployment of AI workloads across any infrastructure (Cloud, On-Prem, Edge, HPC).
Overview
Ryax is an AI-driven compute and workflow management platform which optimizes the computing resources utilization (CPU, GPU, RAM), and provides a smart orchestration to enable an efficient and cost-effective deployment of AI workloads across any infrastructure (Cloud, On-Prem, Edge, HPC).
Ryax on AWS offers:
- Resources consumption optimization
- Seamless execution on hybrid infrastructures
- Multi-objective and multi-constraint based orchestration
Ryax can handle many use cases, from ETL to GenAI applications. Please have a look to the standard use cases in the default project
Supported infrastructures:
- AWS
- HPC on AWS
- HPC on premise
How to use Ryax:
Ryax is a low-code, API-first, AI-driven workflow management system for data analytics. It provides the means to create, deploy, update, execute and monitor the execution of data processing workflows on hybrid Cloud,Edge,on-premises and HPC computing infrastructures. It enables users to create their data automations and expose them with APIs through fully customizable workflows using a low-code UI. It makes use of a powerful, hybrid serverless/microserverices-based runtime, abstracting completely the complexity of building and deploying containers with their dependencies upon Cloud infrastructures. The software platform has been designed with a focus on data analytics and offers a variety of built-in features and a repository of various integrations to facilitate users in the process of industrializing various types of applications integrating complex data automations.
For more information on Ryax and the architectural principles, have a look to https://docs.ryax.tech
Highlights
- Ryax provides the following important features: - AI-driven resource optimizations - Bin Packing - GPU Fractioning - Environment packaging (Container creation) - Serverless CPU/GPU - HPC offloading - Runtime engine
- - Custom,hybridmicroservices,serverless engine - Workflow view - Logging, Debugging, Monitoring - Multi-site seamless execution* - Multi-site support for seamless workflow deployment upon the hybrid cloud(Infra agnostic,no vendor lockin, deploying upon all types of K8S distributions)* - Multi-constraint and multi-objective scheduling - Multi-infra observability
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Ryax CPU workloads | CPU based workflow orchestration | $700.00 |
Ryax CPU/GPU workloads | CPU + GPU based workflow orchestration | $1,200.00 |
Ryax multi-sites workloads | Multi-sites workloads (Clouds, on premise, HPC) | $3,000.00 |
Dimensions summary
You buy this orchestration engine through a contract, priced per host. The three dimensions map to the type of workload you run. Choose CPU workloads if your workflows run on CPU resources only. Choose CPU/GPU workloads if your workflows also need GPU processing. Choose multi-sites workloads if you run across clouds, on-premise systems, and HPC environments together. Each option is billed by host count, so pricing scales with how many hosts you deploy. Pick the dimension that matches your compute needs rather than layering them as tiers.
Top-of-mind questions for buyers
A host is a compute machine that runs your workflow orchestration. Each dimension counts hosts within its scope: CPU machines, CPU plus GPU machines, or machines spread across clouds, on-premise systems, and HPC. You pay per host, so adding machines raises the count and the cost.
The multi-sites dimension covers hosts running across clouds, on-premise systems, and HPC environments together. The platform packages your workflow actions for each target and moves data between cloud and HPC systems. The CPU and CPU/GPU dimensions cover hosts on a single infrastructure type only.
Choose the CPU/GPU workloads dimension. It covers hosts that run workflows on both CPU and GPU resources, which suits machine learning and heavier compute tasks. The CPU workloads dimension covers hosts with CPU resources only. You are not meant to combine dimensions as tiers.
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