Nexgen Edge
Virtual Edge AI Data Centers
A marketplace that pools idle NPU capacity on phones, PCs, IoT, and beyond—then serves long-running AI workflows at a fraction of traditional GPU cost.
Idle devices. Consistent power. Shared intelligence.
Modern edge devices spend most of their lives plugged in and underused. When they have spare NPU capacity, they can join our pool. We orchestrate distributed models across that network and rent the result to customers who need reliable inference—not instant datacenter GPUs.
How the marketplace works
From excess capacity on the edge to customer workflows—without a warehouse of GPUs.
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01
Contribute
Devices join when they have unused compute and stable power.
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02
Orchestrate
We place LLMs, VLMs, and pipelines across the pool with Ray and vLLM.
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03
Serve
Customers run minute-scale workflows at marketplace pricing.
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04
Optimize
Scheduling favors idle capacity, cost, and power-aware placement.
Slower by design. Cheaper by design.
Many AI jobs do not need second-scale GPUs. We serve minute-scale, long-running tasks at far lower cost—and roughly sixty times less power per task—while keeping geographic density low. That is the opposite of the high-impact AI campus buildout communities are pushing back against.
- Latency
- Minute-scale, not second-scale
- Density
- Distributed edge, not a single megasite
- Impact
- Lower power, water, and local footprint
Colocate compute and generation
Pair the pool with virtual power plants. When spot compute prices are low, sell the power. When compute is worth more, use that power to sell inference. Same electrons— two markets.
Build the edge with us
Whether you have devices to contribute, workloads to run, or generation to colocate— Nexgen Edge is assembling the marketplace for Virtual Edge AI Data Centers.