Runtime tuning
Scheduling, batching, graph capture, memory planning, KV strategy, and transport tuned as one serving system.
INFERENCE · KERNELS · SERVING
Push inference to the metal.
A high-performance runtime for open models across modern accelerators. Measure the full serving path, then remove the bottlenecks that matter.
TOK/Sthroughput first
P99latency visible
OPENportable stack
KIRA / LIVE BENCH8× ACCELERATOR
MODELOPEN-WEIGHT / AUTO
PROFILE1K IN / 1K OUT
STATUSVALIDATED
01 / PRODUCT
Built around the real workflow.
Fast serving emerges when kernels, graphs, scheduler capacity, memory allocation, attention backend, and network topology line up with the workload.
Kernel paths
Target hot operators precisely while retaining guarded fallbacks and end-to-end correctness checks.
Reproducible evidence
Benchmark manifests record model, precision, hardware, concurrency, token shape, software versions, and errors.
02 / SYSTEM
Benchmark the system, not one kernel.
Fast serving emerges when kernels, graphs, scheduler capacity, memory allocation, attention backend, and network topology line up with the workload.
SGLangvLLMROCmCUDAGraphsFP8 / FP4