Radix tree prefix hashing, multi-block flash decoding, paged memory pools and MQA/GQA engines.
4 TRIADS // 12 UNITS
- KV Cache
- Flash Decoding
- Paged Attention
- MQA / GQA
- FastAPI
- Python 3.11
- React 19
- PostgreSQL 16 RLS
- DYNO TESTS
- 26/26 PASS
- LICENSE
- MIT / APACHE-2.0
TARGET ACQUIRER Distributed compute platforms, high-throughput data processing clusters, and GPU cloud operators.
VIEW 4 TRIADS
- MC-01.1 Prefix Caching & Radix Tree KV Hash Indexing
SCADA cockpit preview →
- MC-01.2 Flash-Decoding & Multi-Block Attention Partitioning
SCADA cockpit preview →
- MC-01.3 Paged Attention Memory Pool & Block Allocator
SCADA cockpit preview →
- MC-01.4 MQA & GQA Attention Flash-Decoding
SCADA cockpit preview →
Continuous iteration batching, chunked prefill scheduling and speculative draft verification.
3 TRIADS // 9 UNITS
- Continuous Batching
- Chunked Prefill
- Speculative Decoding
- FastAPI
- Python 3.11
- React 19
- PostgreSQL 16 RLS
- DYNO TESTS
- 19/19 PASS
- LICENSE
- MIT / APACHE-2.0
TARGET ACQUIRER Parallel execution schedulers, high-concurrency API gateways, and quantitative trading desks.
VIEW 3 TRIADS
- MC-02.1 Continuous Batching & In-Flight Request Scheduler
SCADA cockpit preview →
- MC-02.2 Chunked Prefill & Mixed-Phase Scheduling
SCADA cockpit preview →
- MC-02.3 Speculative Decoding & Draft Verification
SCADA cockpit preview →
FP8/INT4 hierarchical KV cache compression, 4-bit weight dequantization and FP6 tensor processing.
3 TRIADS // 9 UNITS
- FP8 / INT4
- FP4 Dequant
- FP6 Tensor Core
- FastAPI
- Python 3.11
- React 19
- PostgreSQL 16 RLS
- DYNO TESTS
- 19/19 PASS
- LICENSE
- MIT / APACHE-2.0
TARGET ACQUIRER High-throughput data processing appliances, embedded compute systems, and on-premise compute centers.
VIEW 3 TRIADS
- MC-03.1 Hierarchical KV Cache Quantization (FP8/INT4)
SCADA cockpit preview →
- MC-03.2 FP4 Quantization & 4-Bit Weight Dequantization
SCADA cockpit preview →
- MC-03.3 FP6 Mixed-Precision Tensor Core & Dot-Product
SCADA cockpit preview →
MoE expert routing, ring-attention context parallelism, hybrid pipeline and activation checkpointing.
4 TRIADS // 12 UNITS
- Expert Parallelism
- Ring Attention
- Pipeline Parallelism
- Checkpointing
- FastAPI
- Python 3.11
- React 19
- PostgreSQL 16 RLS
- DYNO TESTS
- 23/23 PASS
- LICENSE
- MIT / APACHE-2.0
TARGET ACQUIRER Hyperscale cluster architects, parallel execution operators, and distributed compute networks.
VIEW 4 TRIADS
- MC-04.1 Expert Parallelism & MoE Token Routing
SCADA cockpit preview →
- MC-04.2 Context Parallelism & Ring Attention
SCADA cockpit preview →
- MC-04.3 Multi-Node Tensor & Pipeline Parallelism Hybrid
SCADA cockpit preview →
- MC-04.4 Multi-GPU Pipeline Parallelism & Activation Checkpointing
SCADA cockpit preview →
CUDA graph capture and launch serialization, FP8 tensor math and zero-copy unified memory.
3 TRIADS // 9 UNITS
- CUDA Graphs
- FP8 Tensor Core
- Unified Memory
- FastAPI
- Python 3.11
- React 19
- PostgreSQL 16 RLS
- DYNO TESTS
- 18/18 PASS
- LICENSE
- MIT / APACHE-2.0
TARGET ACQUIRER Mission-critical edge computing, real-time distributed telemetry, and low-latency FinTech infrastructure.
VIEW 3 TRIADS
- MC-05.1 CUDA Graph Capture & Kernel Launch Serializer
SCADA cockpit preview →
- MC-05.2 FP8 Mixed-Precision Tensor Core & Scaled Dot-Product
SCADA cockpit preview →
- MC-05.3 Zero-Copy Unified Memory & Host-Device Interlock
SCADA cockpit preview →