Strongest fit
Who it is built for
- Teams deploying production AI and machine learning models
- Developers scaling inference across GPU instances
- Organizations running GPU-heavy batch, rendering, or HPC workloads
Salad
Distributed GPU cloud for production AI and compute workloads
Salad provides a distributed cloud platform for deploying production AI and machine learning workloads on consumer and data-center GPUs. Customers can run containerized inference, transcription, computer vision, rendering, and batch processing workloads without managing individual virtual machines.
SASaladProduct screenshot pending
- Best for
- Teams deploying production AI and machine learning models
- Pricing signal
- USD 0.005 / hour
- Primary category
- Cloud computing
- Last verified
- Jul 30, 2026
The decision
Should Salad make your shortlist?
Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.
Practical use cases
Jobs it can take on
- Deploy a containerized inference service
- Transcribe audio through the Salad Transcription API
- Run computer vision workloads on distributed GPUs
Before you choose
Know the tradeoffs
- SaladCloud GPUs have longer cold-start times and may be interrupted because the network uses shared compute resources.
- The network's highest available VRAM is 24 GB, and workloads requiring extremely low latency are not a fit.
Inside the product
What you can actually do with it.
The core product capabilities, grouped around the work they enable.
Salad Container Engine
Deploys Docker containers across SaladCloud's distributed network while handling orchestration and hardware allocation.
Distributed GPU capacity
Provides on-demand GPU instances from a network of consumer and data-center hardware with configurable GPU, vCPU, and RAM resources.
Transcription API
Offers an API for speech-to-text workloads, including transcription, translation, captioning, and LLM-based insights.
Typical workflow
Containerize your application or model server, then select the GPU, vCPU, RAM, and replica requirements for the workload. Salad Container Engine deploys and reallocates the workload across its distributed nodes while billing for available hardware time.
Plans and official links
Plans and accessUSD 0.005 / hour.
See the entry price, free access options, company details, and direct vendor destinations in one place.
Starting pointUSD 0.005 / hour
Free planFree trial
See plans- Provider
- Salad Technologies
- Based in
- US
- Founded
- 2018
Official destinations
Choosing for a real workflow?
Make the tool work with the rest of your operation.
We map the workflow, connect existing systems, choose what to buy, and build what is missing.