Platform
Built for GPU fleets across distributed sites.
A New Frontier in AI Infrastructure
Significant compute-ready grid capacity already exists in smaller distributed pockets. Solyx AI unifies these distributed sites into a single inference layer, optimizing for energy efficiency, speed, utilization, and throughput in a highly secure environment. Aggregation of geo-distributed grid capacity is what comes after hyperscale, and Solyx AI is building it.
What we do
Platform
The routing and placement control plane for distributed GPU inference on the AI Grid. Deployed above bare metal, Solyx routes every request to the right GPU in real time. Works with your existing stack. Highly Secure.
ValidatedInfrastructure
Metro-scale clusters of GPU pods around major metro areas in the USA. NVIDIA reference architecture with site topology, hardware selection, power and networking. Hands-on, through buildout.
Built for inference
Agentic AI
Agentic workloads chain inference calls across tools, memory, and decisions. Latency compounds at every step. When a worker goes down, Solyx reroutes automatically — the application never sees a failure.
Real-time inference
User-facing latency is shaped by the slowest request in the queue, not the average. Solyx distributes load based on what each GPU is actually doing, keeping tail latency stable under variable demand.
High-availability
Endpoint failures don’t require operator intervention. Solyx detects degraded or misconfigured replicas in real time and routes around them — whether the cause is a hardware fault, config drift, or a process crash.
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