High-Throughput
Inference Engine.
The computational engine beneath Knolink Cloud. High-throughput distributed nodes, specialized weight sparsity, and edge execution layers built to run intelligence in production.
Eliminating compute redundancy across multi-turn reasoning loops.
Custom kernel compilation minimizing dynamic power draw.
Fast distributed lookahead scheduling across cluster meshes.
Subsystem Architecture
DISTRIBUTED TOPOLOGY & ENCLAVES
High-Throughput Inference Nodes
Cluster configurations engineered for production model activations. Apolemia partitions tensor operations dynamically across interconnected GPU/NPU fabrics without transport bottlenecks.
Edge Compute & Micro-Clusters
Optimized runtime configurations for localized setups. Apolemia compiles compressed INT8/INT4 quantization profiles for edge appliances and private workstation hosts.
Security & Memory Enclaves
Enterprise-grade model isolation. Execute sensitive weights inside hardware-encrypted memory enclaves (Intel SGX / AMD SEV) with zero telemetry extraction.
Deployment Profiles
High-throughput Node Orchestration
Partitions weight matrices across interconnected GPU clusters. Custom CUDA kernels optimize FlashAttention-3 execution lines to bypass transport overhead.
// apolemia-cluster.yaml
apiVersion: apolemia.knolink.io/v2
kind: InferenceCluster
metadata:
name: kalman-sparse-14b-high-throughput
spec:
tensorParallelism: TP_4
kvCacheMaxGb: 64
scheduler: apolemia-dynamic-lookahead
sparsityThreshold: 0.12Deploy Apolemia on your infrastructure
Configure Apolemia inference runtimes across your cloud instances, private hardware clusters, or edge appliances.