Dashboard
QubGPU Neural Datagram Protocol Platform
Knowledge Packet Format
0xAA
PRE
SRC
8bit
DST
8bit
TYP
8bit
LEN
16bit
PAYLOAD
var
CRC-16
16bit
6-byte header + variable payload + 2-byte CRC. Overhead: 8 bytes. Efficiency: 94-99.6%
Quick Links
Datasets
Upload, convert, and manage training datasets
📤
Drop JSONL file here or click to browse
Supports .jsonl files with {instruction, output} pairs
Training
Train models with the QubGPU protocol
Training Configuration
Training Progress
Idle
Chat
Test your trained model
No model loaded
Q
Hello! I'm the QubGPU assistant. Load a model and start chatting. You can use a base model or a fine-tuned LoRA adapter.
Protocol Lab
Encode text into Knowledge Packets and inspect the binary format
Packet Encoder
Protocol Benchmark
Benchmark Results
NDP protocol performance across text, image, and audio data
Loading benchmark results...
Data Type Comparison
| Type | JSONL Size | NDP Size | Savings | Read Speedup | Write Speedup |
|---|
Neural Router
Direct Knowledge Injection — Like a Router Routes Packets, Not Like a Student Studies Books
📝 Inject Text Knowledge
Instantly encode text into associative memory — no training needed
🎯 Inject Fact (ROME-style)
Surgical rank-1 weight update targeting specific neurons
🔍 Query Associative Memory
CAM-style parallel lookup — retrieves stored knowledge via cosine similarity
📊 Neural Router vs Traditional Training
🏗️ Neural Router Architecture
╔══════════════════════════════════════════════════════════════════════════╗
║ NEURAL ROUTER ║
║ ║
║ ┌──────────┐ ┌───────────┐ ┌──────────────┐ ┌────────────┐ ║
║ │ INGRESS │───▶│ ROUTING │───▶│ FORWARDING │───▶│ EGRESS │ ║
║ │ PIPELINE │ │ TABLE │ │ ENGINE │ │ PIPELINE │ ║
║ │ │ │ (CAM/TCAM)│ │ │ │ │ ║
║ │ • CRC-32 │ │ │ │ • OVERWRITE │ │ • Verify │ ║
║ │ • Defrag │ │ • Layer │ │ • BLEND │ │ • Flush │ ║
║ │ • Decode │ │ • Module │ │ • RANK1 │ │ • Cache │ ║
║ │ • Align │ │ • Neuron │ │ • IMPRINT │ │ • Confirm │ ║
║ └──────────┘ └───────────┘ │ • HOPFIELD │ └────────────┘ ║
║ └──────────────┘ ║
║ ║
║ ┌──────────────────────────────────────────────────────────────────┐ ║
║ │ ASSOCIATIVE MEMORY BANK (GPU-Resident) │ ║
║ │ [Key₁|Val₁] [Key₂|Val₂] ... [Keyₙ|Valₙ] │ ║
║ │ Capacity: 8M entries @ 768-dim on RTX 3090 (24GB) │ ║
║ │ Retrieval: <1ms via Tensor Core matrix multiply │ ║
║ └──────────────────────────────────────────────────────────────────┘ ║
╚══════════════════════════════════════════════════════════════════════════╝