NVIDIA + Caelus: Production GPU Platform Acceleration
Optimized clustering, orchestration & model lifecycle patterns so enterprises convert GPU investment into measurable AI outcomes faster.
Execution & Optimization Pillars
Integrated pillars that maximize GPU utilization, throughput, governance and developer velocity.
Cluster Architecture
Right-sized A/B/H series & multi-instance GPU partitioning for cost-performance balance.
Orchestration & Scheduling
NVIDIA AI Enterprise, Kubernetes, Slurm & MIG aware scheduling to minimize queue latency.
Performance Engineering
Mixed precision, tensor core optimization, NCCL tuning & data pipeline throughput improvements.
GenAI & LLM Enablement
RAG, fine‑tuning & evaluation frameworks leveraging NeMo, Triton Inference Server & vector stores.
Governed MLOps
Pipelines, lineage, artifact governance & reproducibility across training/inference estates.
Utilization & FinOps
Real‑time usage telemetry, allocation policies & rightsizing insights increasing effective utilization.
Composable GPU & LLM Platform Blueprint
Modular blueprint spanning data ingress, distributed training, experiment tracking, optimized inference and observability with policy‑as‑code guardrails.
- MIG / multi‑cluster topology & auto-scaler patterns
- Shard + tensor + pipeline parallel strategy guidance
- NeMo fine-tuning & evaluation integration
- Triton inference + caching & A/B rollout gates
- End-to-end telemetry: utilization, quality, cost
Reusable Assets & Tooling
Reference repos & automation layers reduce provisioning, tuning and governance lead time.
GPU Utilization Dashboard
Telemetry & heatmaps exposing fragmentation, idle capacity & optimization opportunities.
LLM Evaluation Harness
Automated RAG & fine‑tune benchmarking (latency, quality, safety, cost) with regression gating.
Triton Deployment Templates
Blue/green & canary inference rollouts with QoS SLO monitors and rollback automation.
Impact Benchmarks
Representative improvements from optimized GPU & LLM platform engagements.
65
Higher Avg Utilization
4
Training Throughput Gain
40
Run-Rate Cost Savers
55
Cycle Time Reduction
Optimize Your NVIDIA GPU Estate
Benchmark utilization, surface quick wins & define a prioritized optimization roadmap.