Simulation & 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.
Background & challenges
Architecture components
Distributed render farm
L40 / RTX 5090 / 4090 nodes with hardware RT cores.
Parallel storage
NVMe-backed Lustre / DAOS filesystem; seamless S3 compatibility.
Scheduler integration
Deadline, Tractor, and custom Kubernetes controllers supported.
Implementation steps
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1
Requirements analysis
Benchmark your existing pipeline and identify the bottleneck stages.
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2
Architecture design
Size compute, storage, and network for peak + median loads.
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3
Resource consolidation
Bring dormant capacity online and centralize it.
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4
Workload migration
Port pipelines, validate outputs bit-for-bit.
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5
Observability
Frame-level metrics, per-shot cost tracking, storage utilization.
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6
Continuous improvement
Regular refresh cycles aligned with production calendars.
Advantages & value
- Lower render cost per frame by matching SKU to scene complexity.
- Elastic bursts during crunch with predictable steady-state pricing.
- Higher pipeline reliability through redundancy and proactive maintenance.
- Faster iteration — artist-level feedback loops under an hour.
Let's architect your deployment
Our solutions team will scope, price, and stand up the infrastructure for you.
Talk to a solutions architect