Salad and Compute-AR: two ways to offer idle GPU capacity
Compare Salad’s app-based workload sharing with Compute-AR’s reviewed provider listings, and distinguish cloud customer prices from owner payouts.
The answer
Salad distributes workloads through its owner app and network. Compute-AR currently reviews provider applications and coordinates supported host access and commercial terms. Choose based on workload compatibility, operating costs and the agreement you can actually fulfill; neither route guarantees earnings.
How Salad uses idle capacity
Salad describes container jobs, bandwidth sharing and mining as distinct earning activities. Its container workloads use idle compute for customer tasks. Review the enabled activities and their requirements before participating; compute sharing and bandwidth sharing are different choices.
Salad’s earnings guidance says workload assignment and payouts depend on demand and availability. Check the owner Network Monitor for current demand rather than treating the customer price list as your payout rate.
Check the owner requirements, not just the GPU name
At review, Salad’s compatibility page recommends at least 8GB VRAM for container workloads and lists 8GB system RAM, 70GB free storage and 15Mbps upload and download requirements. It also discusses Windows compatibility and says multiple dedicated GPUs cannot be used simultaneously. Check the linked page for changes and exact supported configurations.
Those are Salad’s requirements, not Compute-AR’s acceptance criteria. Some Salad support pages differ on GPU vendor support, so verify your exact card with its current compatibility guidance and support before relying on an earning estimate.
What is different on Compute-AR today
Owners apply at /providers with a verified wallet, hardware notes, region and capacity. Staff reviews the machine and agrees the rate, availability, payout and access arrangement. An application does not install an agent or automatically make hardware rentable.
Customer requests can bundle hardware, models, apps and a supported connection method. Fulfillment can require manual operator work; compatible prepared machines can be assigned after payment. Compute-AR does not currently provide a Salad-style public desktop workload client or a Salad integration.
Compare economics and operational responsibility
SaladCloud publishes customer prices by GPU and priority tier, with running-time billing. Those cloud prices are not the owner reward schedule. Compute-AR uses confirmed rental terms with a starting four-hour/$10 minimum; its payout arrangement must be agreed separately.
For either route, estimate net earnings after whole-system power, cooling, idle time, maintenance and connectivity. Confirm how interruptions, data cleanup, workload restrictions and payout redemption or settlement work. Do not commit the same host to overlapping jobs on multiple networks.
This comparison is independent and is not endorsed by Salad. Product features, requirements and rates may change. No claim is made that Compute-AR pays more or has greater demand.