Technology Overview
Grouped by domain. Each tile leads to a detail page with pain points, methods, roadmap and limitations.
AI Inference & Training
LPUs & Wafer-Scale
Groq (LPU) and Cerebras (WSE) for deterministic sub-second inference and massive training without the DRAM bottleneck.
Learn moreReconfigurable Dataflow (RDU)
SambaNova RDUs for RAG and enterprise inference workloads with scalable throughput.
Learn moreHPC Simulation & Dataflow
Dataflow Compute & ICA
Next Silicon Intelligent Compute Architecture — a native non-Von-Neumann dataflow architecture. Existing code runs unmodified.
Learn moreFlow-Aggregating Storage
A dataflow engine at the storage layer: bundling scattered sensor and IoT streams into correlated flows before persisting.
Learn moreSovereignty & Future Tech
Sovereign RISC-V Silicon
A RISC-V host (Arbel) for a CPU stack free of ARM licensing and export-control exposure at the architecture level.
Learn morePhotonic Compute
Q.ANT photonic fabrics for MAC-heavy workloads with potentially 100x efficiency over electronic silicon.
Learn moreNeuromorphic Compute
SpiNNaker2 for energy-efficient edge inference through event-driven, brain-like processing.
Learn morenextgen/<topic>.html from the dataflow-ica.html template.
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