CAP / 01
Custom Inference Architecture
Sub-millisecond serving paths, dynamic batching, speculative decoding, and kernel-level tuning for exact workload profiles.
vLLM / TensorRT-LLM / Triton
Capabilities / Systems Engineering
The complete compute plane, engineered as one system.
From bare metal to model endpoint, every layer is designed around your workload, sovereignty boundary, and service objective.
Capabilities / Service Lines
Engineering disciplines, delivered end to end.
CAP / 02
Dedicated GPU Cluster Deployment
Bare-metal orchestration and sovereign on-premise or hybrid fabrics engineered around locality, bandwidth, and failure domains.
InfiniBand / NVLink / Kubernetes
CAP / 03
Compute & Cost Optimization
Maximize useful tokens per watt and per dollar through memory-aware scheduling, quantization, and topology optimization.
MFU / KV cache / FP8 / INT4
CAP / 04
24/7 Managed Compute Operations
Deep telemetry, cluster health, incident response, and capacity forecasting operated by infrastructure engineers.
SLO / Observability / Forecasting
Assessment / Live
Define your deployment envelope.
Assessment / liveModel topology
01 / Workload profile
02 / Daily token volume
48BTOKENS / DAY
03 / Deployment target
Provisional architecture
48 GPU
dedicated fabric
Accelerators
48 × H100/H200
Serving pools
4 isolated
Runtime
vLLM + TensorRT-LLM
Envelope
< 12ms p99
01Topology-aware workload placement
02Redundant high-speed data plane
03Bare-Metal security boundary
0424/7 telemetry integration
Directional system model — validated during audit