Amazonās cloud chases more throughput with fewer network boxes
RNG changes the hardware density of the data center network.š· AI-generated image / TECH&SPACE
- ā AWS RNG uses a random-graph-based topology for a more efficient data center network.
- ā Amazon cites 33 percent higher throughput, 40 percent lower network power use, and 69 percent fewer devices.
- ā The architecture is already the default for most AWS workloads, making this a production change rather than a research-only concept.
Tom's Hardware reports that AWS has revealed Resilient Network Graphs, or RNG, a new data center network architecture that changes the underlying math of how servers are connected. Instead of defending capacity mainly by adding more layers of equipment, RNG uses a topology based on random graphs. The published numbers are not cosmetic: 33 percent higher throughput, 40 percent lower network power use, and 69 percent fewer devices.
That matters because the network inside a large cloud is not passive scenery. Across the AWS global infrastructure, every additional switch, link, and network layer carries a cost in power, space, maintenance, and operational complexity. If an architecture with less hardware can actually deliver more throughput, AWS is not just saving boxes in racks. It is reducing the infrastructure burden behind every virtual machine, database, container, or distributed application running on its cloud.
The most important detail is not only the 69 percent device reduction. It is that RNG, according to the source report, is already the default architecture for most AWS workloads. That separates it from the familiar kind of infrastructure idea that looks elegant in a research talk but stays outside production for years. This is described as a network that is already carrying real workloads.
Amazon's new Resilient Network Graphs architecture is already the default for most AWS workloads, with 33 percent higher throughput and 40 percent lower network power use.
Random-graph topology becomes an operational network decision.š· AI-generated image / TECH&SPACE
The random-graph approach has a clear engineering logic: if connectivity is designed so traffic has more efficient paths through the system, the network can become more resilient to congestion without a brute-force increase in devices. The supplied context does not give enough implementation detail to describe the exact internal design, and that gap should stay visible. But the direction is clear: AWS is trying to improve the tradeoff between throughput, power use, and the physical complexity of the data center network.
For AWS customers, this probably will not appear as a new console button. The effect of a change like this is usually indirect: more efficient background capacity, better infrastructure economics, and less waste underneath services that are sold as abstractions. For Amazon, the equation is more direct. Network hardware at hyperscale is not just a capital expense; it is an energy commitment that repeats every hour.
That makes RNG more interesting than a routine faster-cloud announcement. As data centers expand under pressure from AI, enterprise workloads, and rising traffic, the industry cannot solve every growth curve by stacking more equipment into the same pattern. AWS is signaling that the next gains will not come only from chips, cooling, and power delivery, but also from the shape of the network itself. If the reported figures hold across production use, Resilient Network Graphs will be one of those infrastructure changes that end users rarely see directly, but the whole cloud ends up carrying.

