What is the difference between AtmosCompute and Salad Cloud?

AtmosCompute and Salad Cloud are both cloud GPU providers offering different pricing models, features, and GPU availability. Use our comparison tool to see real-time pricing and feature differences.

Which is cheaper: AtmosCompute or Salad Cloud?

Pricing varies by GPU model and usage requirements. Check our real-time comparison table to find the best deals for your specific needs.

Can I switch between AtmosCompute and Salad Cloud?

Yes, both providers offer flexible cloud GPU services. However, consider factors like data transfer costs, setup time, and specific features when switching between providers.

AtmosCompute vs Salad Cloud

Compare GPU pricing between AtmosCompute and Salad Cloud. Find the best rates for AI training, inference, and ML workloads.

AtmosCompute

Provider 1

GPUs Available

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Salad Cloud

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

AtmosCompute GPUs

Salad Cloud GPUs

Direct Comparisons

GPU Pricing Comparison

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Features Comparison

AtmosCompute

Instant Launch
Launch GPU servers in approximately 30 seconds.
Pay-as-you-go Pricing
Hourly billing without hidden fees.
Docker Support
Easily deploy containers with minimal commands.
API Access
Full REST API available for automation.
Data Security
Isolated environments with controlled access.

Salad Cloud

Community Cloud
On-demand pool of idle consumer GPUs with nodes in 190+ countries, deployed onto through Salad Container Engine.
Salad Container Engine
Managed orchestration that schedules Docker containers onto nodes it does not control, isolates them behind a hypervisor, streams logs, and reallocates work when a node disappears.
Priority Tiers
High, Medium, Low, and Lowest tiers price the same GPU class differently so a workload can trade preemption risk for cost; High is never preempted by other workloads.
Salad Dedicated
Reserved bare metal and virtual machines on contract, starting with RTX PRO 6000 Blackwell, quoted per allocation and term.
Private Cloud
Salad's orchestration stack licensed per deployment on hardware you already own, pooling idle workstation and server GPUs into a private OpenAI-compatible token service.
Managed APIs and Tooling
AI Gateway (an OpenAI-compatible endpoint for open-weight models, in closed beta), Transcription API, Recipes deployment templates, S4 temporary storage, Gateway Service residential IPs, and a Virtual Kubelet for Kubernetes.

Pros & Cons

AtmosCompute

Advantages

Quick setup process
Wide variety of GPU configurations
Equipped for diverse applications

Considerations

Limited information on customer support
Country of operation not specified
No specified SLAs for enterprise customers

Salad Cloud

Advantages

Aggregating idle consumer hardware gives some of the lowest published per-GPU-hour rates available
Per-second billing with no contracts or minimums; allocation, image download, and cold start are not billed
vCPU and RAM are included with every GPU class at no additional charge
Four priority tiers make interruptibility an explicit, priced choice per container group

Considerations

On-demand catalog is consumer RTX GPUs only — data center accelerators are not offered outside the contracted Dedicated product
Published GPU classes top out at 32 GB of VRAM, limiting the size of a model that fits on a single GPU
Nodes are individually owned machines that can disconnect at any time, so workloads must be stateless or retryable

Compute Services

AtmosCompute

Salad Cloud

Salad Container Engine on Community Cloud

On-demand container orchestration across the distributed pool of idle consumer GPUs, with more than 40 GPU classes selectable by priority tier.

Salad Dedicated

Reserved bare metal and virtual machines on contract, separate from the on-demand community pool.

CPU-only container groups

Container groups with no GPU attached, billed per vCPU-hour and per GB of RAM per hour, running at the Lowest priority tier.

Pricing Options

AtmosCompute

Salad Cloud

Per-second on-demand billing

Published per-GPU-hour rates billed by the second for the time each replica spends running; allocation, image download, and cold start are not charged, and vCPU and RAM are included.

Priority tiers

High, Medium, Low, and Lowest tiers price each GPU class differently - lower tiers cost less and are more interruptible, with Lowest intended for retryable batch work.

CPU-only container groups

Billed per vCPU-hour plus per GB of RAM per hour for container groups that need no GPU.

Volume discounts

Large deployments, long-running jobs, and committed spend are priced below list by sales.

Salad Dedicated contracts

Reserved bare metal and virtual machines quoted separately per allocation and term.

Private Cloud licensing

Licensed per deployment to run the orchestration stack on hardware you already own.

Getting Started

AtmosCompute

Get Started

1
Create an account
Instant registration without unnecessary data.
2
Select configuration
Specify the video card model and resource requirements.
3
Launch and connect
Use SSH, RDP, or API for connection.

Salad Cloud

Get Started

1
Create a SaladCloud account
Sign up at portal.salad.com to reach the dashboard, API keys, and deployment tools.
2
Pick a GPU class and priority tier
Compare published per-GPU-hour rates and live availability on the pricing page, then choose the tier that matches how interruptible the workload is.
3
Deploy a container group
Supply a Docker image, CPU/memory/GPU resources, and a replica count through the portal or the public API; Recipes provide ready-made templates for popular open models.
4
Monitor and scale
Track replicas in the portal and adjust GPU class, priority, or replica count; the container engine reallocates work as nodes join and leave the network.
5
Talk to sales for reserved or volume capacity
Large deployments, committed spend, and Salad Dedicated allocations are quoted directly rather than bought self-service.

Support & Global Availability

AtmosCompute

Support

Email support available.

Salad Cloud

Global Regions

Nodes in 190+ countries across the distributed network; capacity is chosen by GPU class and priority tier rather than by selectable region, and availability varies by class.

Support

Documentation at docs.salad.com, a developer hub and Recipes library, status page at cloud-status.salad.com, Trust Center, Discord and GitHub communities, and direct engineering and sales contact for volume and enterprise deployments.