DCP

Access GPU Compute Power

Rent powerful GPUs for your AI training, inference, and scientific computing needs. Pay only for what you use.

How DCP Billing Works

  • 1. Before execution, DCP places an estimate hold in halala from your wallet.
  • 2. After completion, final cost is settled from actual runtime (not the estimate).
  • 3. Any unused hold is returned to wallet balance in halala automatically.

100 halala = 1 SAR.

Current flow: wallet top-up in SAR, estimate hold before execution, completion-based settlement, and automatic return of any unused hold.

First workload in 3 steps

Use one clear start action, then follow this sequence to move from first run to repeatable execution.

Start first workload in Playground

1. Browse GPU marketplace

Compare live providers by GPU family, uptime, and rate.

2. Submit your first job

Open the submit flow and run a first containerized workload.

3. Follow quickstart docs

Use API examples and model guidance to move from test to repeatable runs.

Choose your next path

One structure across DCP pages so each team can route directly to the right flow.

Self-serve renter

Create a renter account and start API + container job runs.

Provider onboarding

Register GPU hardware, install daemon, and start heartbeat checks.

Enterprise intake

Open procurement, security, and rollout planning support.

Arabic model docs

Review ALLaM 7B, Falcon H1, JAIS 13B, and BGE-M3 support paths.

Renter onboarding checklist

  1. 1. MarketplaceBrowse live GPU capacity and shortlist a provider path.Open
  2. 2. PlaygroundRun a starter workload in browser before scaling.Open
  3. 3. Docs/APIReview quickstart, API auth, and integration patterns.Open
  4. 4. Enterprise SupportOpen procurement and rollout support for your team.Open

First result path: open Playground, run the starter workload, then review output and logs in My Jobs.

Register as a Renter

Jobs run in NVIDIA containerized runtime paths and settle by measured usage.

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What You Can Do

Browse Marketplace

Discover available GPUs from providers worldwide. Filter by model, performance, and price to find the perfect fit for your workload.

Submit Jobs

Submit training and inference jobs, monitor completion status, and review usage after each run.

Pay Per Use

Transparent pricing with no long-term contracts. Pay only for the compute resources you actually use.