Made for spiky traffic
New containers start in 1-2 seconds, even during sudden spikes. CPU and GPU capacity follows demand without pre-warming or reserved nodes.
Large language models
Serve LLMs at any volume
Run vLLM, SGLang, TensorRT or your own server. Autoscale on GPUs in several regions, pay per second.
Infrastructure for production traffic and uptime at scale.
Why Axonfield for LLMs?
H100
Training and heavy inference
MI300X
Large memory for long context
A100
Most LLM serving
Recent hardware on demand
Run on B200, H100, L40S or MI300X without long commitments. Pick hardware per endpoint to balance speed and cost.
Fixed batch of 8
[■■■■■■■■] wait → run
[■■■■■■■■] wait → run
Batch closes at 20 ms
[■■■□□] → run
[■■■□□] → run
Requests join per step
[■■■■■] → ■ in / ■ out
[■■■■■] → ■ in / ■ out
Tune your serving stack
Static, dynamic or continuous batching on the engine you already use. Set batch windows, token limits and concurrency per endpoint.
Capacity : 2,400+
820+690+910+140+
Regions : 4 live
Close to users, inside the rules
Deploy to the regions your contracts require. Choose where compute runs and where data is stored.