Open interfaces
Clear boundaries between orchestration, runtime and storage. Bring the tools your team already understands.
A considered platform for the models, simulations and ideas that move us forward.
Local architecture visualization. No external compute connected.
Select a workload to inspect the sample architecture.
Inside the architecture
Data paths, memory and scheduling are designed together. Choose a sample workload above, then run the local visualization to inspect its profile.
Plan the right scale
A transparent illustrative estimate. Change the number of compute nodes to compare capacity and monthly cost.
8 nodes · 640 GB aggregate illustrative capacity.
From an initial experiment to a repeatable production pipeline.
Clear boundaries between orchestration, runtime and storage. Bring the tools your team already understands.
Inspect utilization, latency and memory with one shared language across the platform.
Give researchers and infrastructure teams a common view of the resources behind every workload.
Keep experiments close to the data, and make the next run a little more informed than the last.
Good answers, before the next step.
No. It changes a local architecture visualization and sample output. All capacity, pricing and workload numbers are fictional.
Replace the sample workload logic and prices with your own platform API and verified operational data. No credentials are included or required by this file.