Post-LLM AI Architectures Radar & Benchmark Workbench

Evaluate non-Transformer paradigms, memory footprints, and efficiency bounds
Multi-Dimensional Capability Radar 6 Frontier Paradigms
Inference Compute & KV-Cache Memory Scaler Budget: Safe
Standard MHA KV Cache
128.0 GB
OOM on 80GB VRAM
Selected Architecture KV
16.4 GB
87.2% Memory Reduction
Est. Prefill / Decode Ops
O(N) Linear
~148 tok/s active
Architecture Scaling KV Cache Grounding Hallucination
LLM Limitations to Architectural Breakthrough Matrix Reddit Research Thread Mapping
Custom Hybrid Architecture Composer Design Sandbox
Sequence Core:
World / Representation Layer:
Verification & Reasoning:
Embodiment / Action:
Composite Efficiency
91 / 100
Ultra-High Throughput
Hallucination Defense
94 / 100
Deterministic Validation
Overall Readiness
Tier-1 Frontier
Balanced Reasoning & Low VRAM
Selected Profile: 3:1 Hybrid Linear Attention + JEPA World Model + Lean Verifier (Optimal Frontier)
Enjoy this tool? Build your own with Super