Solutions
Reference architectures we deploy every week — from frontier-model training to real-time inference.
Large-Scale Model Training
End-to-end infrastructure for frontier-model training runs.
Training foundation models at scale exposes bottlenecks in interconnect, utilization, resource allocation, and observability. ApeTops delivers a multi-stage solution that compresses time-to-train and maximizes cluster efficiency.
Read the architectureAI Application Inference
Production-grade inference infrastructure for RAG, agents, and multimodal apps.
Serving large models in production is a different problem than training them. Our inference solution stitches together the right hardware tier, the right scheduler, and the right observability for predictable latency at any scale.
Read the architectureSimulation & Rendering
High-performance compute + storage for graphics and scientific workloads.
Rendering and simulation for game engines, film production, CAD/CAE, and scientific computing require massive compute and I/O. Our purpose-built stack removes the storage and interconnect ceilings that legacy architectures hit.
Read the architectureHigh-Performance Compute Cluster
Turnkey HPC clusters for research, analytics, and AI.
Many organizations need cluster-class compute but do not want to build one. We design, deploy, and operate non-blocking clusters so you can focus on science and product.
Read the architecture