DataArts Fabric
DataArts Fabric provides distributed computing for data processing and machine learning workloads.
Find alternatives to DataArts Fabric
What it does
- Model training
Features 4
- Distributed SQL engineDecouples metadata, compute, cache and storage services so each layer scales independently.
- Distributed RayFabric Ray supports the Ray-Data, Ray-Train and Ray-Serve modules for data processing, training and inference.
- Heterogeneous resource managementUnified management and scheduling of CPU and NPU resources at container or actor granularity.
- Auto scalingScales in seconds to accommodate peak traffic with pay-per-use billing.
Sources
- Pricing
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"DataArts Fabric offers two billing modes: yearly/monthly and pay-per-use."
- Description
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Official documentation · 15 Oct 2026
"distributed computing challenges in data processing and ML/DL workloads."
- What it does
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Official documentation · 15 Oct 2026
"Ray supports distributed model training and fine-tuning"
- Sold within
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Official documentation · 15 Oct 2026
"Before using Ray, you need to purchase a Ray resource."
- Name
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Official documentation · 15 Oct 2026
"Getting to Know DataArts Fabric"
- URL
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Official documentation · 15 Oct 2026
"Getting to Know DataArts Fabric"
- Deployment
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Official documentation · 15 Oct 2026
"Log in to the DataArts Fabric Workspace Management Console."
- Interfaces
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Official documentation · 18 Oct 2026
Page: 'Run SQL or job tasks directly via the console or API'.
- Intended for
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Official documentation · 18 Oct 2026
Page: 'it significantly reduces costs and simplifies big data management for enterprises'.
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