agent inference · GPU efficiency
UnieInfra — agent inference, optimized to the token
UnieInfra is an inference platform tuned for AI agents, not just LLM calls — up to 2× throughput at low load and a fifth of the latency under high load, with automatic parameter tuning that maximizes throughput on the hardware you already have, across AMD, Nvidia, Qualcomm and Intel.
Qwen3.5-122B-A10B (FP16) · Nvidia H200 × 2 · test by InferenceMAX.
concurrency
Throughput at low load, speeding up AI responses
Time-to-first-token under high concurrency
GPU memory utilization in production deployments
Accelerator ecosystems: AMD · Nvidia · Qualcomm · Intel
latency vs. throughput
High throughput and low time-to-first-token — at the same time.
UnieInfra holds high throughput while collapsing TTFT as concurrency rises.
Why inference decides the economics of agents.
Up to 2× throughput at low load — faster AI responses.
A fifth of the latency under high load — less waiting.
Auto-tunes batching, scheduling and memory to your hardware.
Tuned kernels squeeze more out of each accelerator.
One engine across AMD, Nvidia, Qualcomm, Intel.
Run inside your data center with full control.
economics
When an agent makes many model calls per task, throughput density is what determines cost and scalability. UnieInfra is built for exactly that workload.
Token-efficient throughput density means the work of four racks on a stock open-source stack runs on a single rack with UnieInfra.
Benchmark UnieInfra on your workload.