specific method · filed under inference & serving
Envoy-based proxy with custom orchestrator
A serving setup that uses an Envoy proxy and custom orchestrator for session management and KV-cache-aware routing across deployments.
- source
- 1
- model
- 1
- lab adopt it
- 1
- strongest
- used
How sources treat it
One count per evidence span, weakest treatment to strongest.
used 1
Documented in
Evidence
1 span quoted from the sources, strongest treatment first.
To manage traffic across Atlas deployments we run an Envoy-based proxy paired with a custom orchestrator that owns session management and routing across the fleet, optimizing KV-cache utilization during agentic reinforcement learning.
usedinference servingPoolside
Filed alongside
Other methods under inference & serving :: inference scheduling.
Asynchronous schedulingNUMA binding of workers to GPU-local CPU socketsComposite-key sorting for topology-aware GPU rank assignmentContinuous batchingCross-group pinning of cache-hit blocksDual-cluster consistent-hash failover for cache affinityExacto routingGreedy feasible-rank placement by remaining capacityHost-side scheduling optimizationIncreasing batch size for inferenceLatency-sensitive execution class with priority isolationMax sequences tuningPer-node hard admission constraintPrefix-cache-aware session affinity schedulingRegistering NVLink domains as Ray custom resourcesRequest-class resource-budget admission controlRuntime-signal-based rollout concurrency auto-throttlingSub-NUMA partitioning with per-VM NUMA bindingWorkload-aware routed-expert GEMM scheduling