Distributed computing makes it possible to build global infrastructure in a very different way. Instead of opening data centers country by country, SaladCloud grew by connecting compute that was already there - gaming PCs and workstations owned by people around the world.
Today, that network spans 191 countries, with hundreds of thousands of machines contributing resources. The infrastructure was already global. The challenge was turning all of that unused hardware into a cloud developers could actually use.
Why Geographic Distribution Matters
Traditional cloud providers pick locations and build there. AWS has 39 geographic regions. Google Cloud has 43 regions. Azure has 80+. Each one requires years of planning, construction, and massive capital investment.
Distributed networks work differently. SaladCloud has nodes in 191 countries because people already have computers there. Someone in San Diego has a gaming PC. Someone in Nairobi has a workstation. Someone in Buenos Aires has a powerful GPU sitting unused. All of them can become part of the network.
This creates advantages traditional providers struggle to match. If capacity disappears in one location because of an outage, network issue, hardware failure, or another disruption, workloads can be reallocated to available nodes elsewhere. Instead of relying entirely on a small number of physical regions, capacity is distributed across thousands of independent machines in many countries.
There are still reasons to keep infrastructure in one or several specific regions. Latency, data locality, internal policies, and regulatory requirements can all make location important. SaladCloud lets you restrict which countries your compute can originate from, so distributed does not have to mean giving up control over geography.
Salad: Building Presence in 191 Countries
Salad started in 2018 with a simple idea. Most gaming PCs sit idle most of the time. What if you could earn money while your computer wasn't doing anything?
Starting is very easy for providers by just installing the Windows desktop application that handles everything. You download it, press Start, and begin earning.
That simple approach worked well. Salad reached a global footprint by removing barriers, making participation effortless and earning predictable.
Today, Salad has 450K+ worldwide earning nodes, 60K+ daily active GPUs, and nodes in 191 countries.
That means compute exists across nearly every major population center on Earth.
The network exists where the people are.
What Global Reach Enables
When your network spans more than 190 countries, you get capabilities traditional providers struggle to match.
Regional processing when you need it: Distributed networks give you options to run workloads in specific countries because people live everywhere. Traditional hyperscalers offer compute from predefined regions. With SaladCloud, you can restrict eligible nodes by country when latency, locality, business requirements, or data residency considerations make location important.
Resilience through geographic diversity: A network outage, hardware failure, natural disaster, or disruption in one location does not necessarily mean losing the entire pool of compute. Individual nodes can disappear while capacity elsewhere remains available. SaladCloud continuously monitors nodes and can reallocate workloads when machines become unavailable.
Compute closer to where people actually are: Traditional cloud infrastructure is concentrated in a relatively small number of data-center regions. A distributed network extends physical compute presence much further, including markets where hyperscalers may not operate a full cloud region.
Broader access to compute: Advanced GPU supply is increasingly shaped by export controls, semiconductor supply, corporate allocation decisions, and where major cloud providers choose to build infrastructure. A distributed network is less dependent on those decisions because much of the hardware is already in the hands of people around the world. It can make useful compute available in markets that may never receive a hyperscale data-center region or a large allocation of the latest GPUs.
As compute becomes increasingly important to human progress, distributed networks offer a way to make that resource available far beyond the countries and companies that control most traditional AI infrastructure.
Capacity across time zones: SaladCloud's nodes are spread around the world rather than concentrated in a single geography. Capacity exists across North America, Europe, Asia, Latin America, Africa, and other regions, giving the network a global pool of machines operating across every time zone.
How Is It Built
Salad focused on user experience. Make the app simple. Remove complexity. Let organic growth spread the network across borders.
The result is nodes in 191 countries without Salad needing to build a data center in each one. That is the interesting part of distributed infrastructure.
Traditional cloud expansion looks something like this: Choose a market. Acquire land. Secure power. Build a data center. Install hardware. Connect networking. Launch a region.
Distributed infrastructure reverses the model.
The machines, electricity connections, internet connections, buildings, and owners already exist. The missing piece is a coordination layer capable of turning all of those independent machines into infrastructure developers can actually use. SaladCloud provides that layer.
Containers give developers a consistent environment across heterogeneous machines. The network handles scheduling and reallocation. Contributors provide the underlying hardware. Customers interact with it like cloud compute rather than thousands of individual PCs.
The physical infrastructure was already global. The difficult part was turning it into a cloud.
The Reality of Global Distributed Computing
SaladCloud currently has nodes in 191 countries, 450K+ worldwide earning nodes, and 60K+ daily active GPUs. This demonstrates that distributed computing works at planetary scale, not as a theoretical concept but as operational infrastructure serving real workloads.
This represents something fundamentally different in computing. Infrastructure exists across the world because individuals chose to share idle resources, not because a company built a data center in every market.
The hardware already existed in homes and offices around the world. The people already owned it. Salad provided the coordination layer that turned isolated machines into a global network.
The result is compute capacity spanning the planet, built through voluntary participation rather than traditional data-center expansion.
As compute becomes increasingly important to scientific discovery, AI development, and technological progress, access to it will matter more and more. Distributed networks offer a way to make that resource available far beyond the countries and companies that control most traditional AI infrastructure. Instead of concentrating compute in a small number of regions, they can help turn hardware that already exists around the world into infrastructure that is accessible on a global scale.