Overview
ARBOK-LAMPCORE is a speculative but physically viable initiative to construct the world's fastest brute-force supercomputer entirely based on vacuum tubes, not transistors. The design uses billions of ultra-simple, ultra-fast 8-bit RISC cores (800 MHz–2 GHz) built from dual-triode vacuum tubes (6Н16Б, 6С62Н). Rather than mimicking modern CPUs, it focuses on radical parallelism, simplicity, and analog speed for applications such as crypto mining, brute-force search, and massive stochastic simulations. Target full-system performance is 84–96 exaFLOPS (FP32-equivalent) from approximately 70–80 billion cores and ~80 billion tubes.
Applications
SHA-256 / Scrypt mining; brute-force key cracking; Monte Carlo simulations; genetic and evolutionary algorithms; molecular dynamics (1 atom per core); massive neural network training; parallel ray rendering. Target industries: cybersecurity, AI/ML research, real-time simulation.
Operating Principle
Massive parallelism by physical design: each core is an 8-bit RISC processor with a fixed-length instruction set of 24–32 instructions (load/store, ALU, branches), Harvard architecture, and a 5–6 stage pipeline, built from ~140–160 dual-triode vacuum tubes. Logic gate delay is 0.5–0.8 ns, giving typical clock frequency of 800 MHz and up to 2 GHz. There is no speculative or out-of-order logic; computation is hybrid analog-digital.
Key Parameters
| Parameter | Value |
|—|—|
| Core type | 8-bit RISC, fixed-length instruction |
| Instruction set | 24–32 (load/store, ALU, branches) |
| Architecture | Harvard, 5–6 pipeline stages |
| Tube count per core | ~140–160 |
| Clock frequency | 800 MHz typical, up to 2 GHz |
| Logic gate delay | 0.5–0.8 ns |
| Performance per core | 1.0–1.8 GFLOPS (INT ops, FP32 emulated) |
| Module form factor | 60 × 80 cm board, ~1,000 cores, ~150,000 tubes, 128 KB local memory (tube-based flip-flops), 1 GHz clock bus |
| Rack | ~64,000 cores (64 boards), standard 42U |
| Full system target performance | 84–96 exaFLOPS (FP32-equivalent) |
| Total cores | ~70–80 billion |
| Total tube count | ~80 billion |
| Racks | ~1.1–1.25 million |
| Facility size | 350 m × 550 m, height 4.5–5 m |
Performance projections: single board 1,000 cores ≈ 1.2 TFLOPS; single rack 64,000 cores ≈ 76.8 TFLOPS; full cluster 80B cores ≈ 96 EFLOPS.
Architecture and Components
Dual-triode vacuum tubes (6Н16Б, 6Н17Б, 6С51Н, 6С62Н) forming 8-bit RISC cores; 60 × 80 cm modules holding ~1,000 cores and ~150,000 tubes with 128 KB of tube-based flip-flop local memory on a 1 GHz clock bus; 42U racks of 64 boards (~64,000 cores); full facility of ~1.1–1.25 million racks. Fully modular and robot-solderable; fault-tolerant via modular redundancy; passive glow-based thermal monitoring.
Advantages
Can be built with existing supply chains — all required tubes are in current production, no semiconductor fabs or lithography are required, and the work is purely electrical engineering. Fully modular and robot-solderable with hot-swap design. Fault-tolerant via modular redundancy. Zero speculative or out-of-order logic. Hybrid analog-digital computation, massively parallel by physical design. Passive glow-based thermal monitoring, and the visible glow from 80 billion tubes doubles as a sci-fi art installation.
Integrations
[требует уточнения из базы]
Deployment & Operation
Next steps: build a 1,000-core lab demo board; evaluate heat, performance, and longevity; develop soldering and placement automation; partner with DARPA, CERN, and HPC labs; launch the "Glow-in-the-Dark ExaFLOP" pilot. Maintenance is high due to tube degradation, mitigated by hot-swap design.
TRL
TRL 3–4 — Experimental board-level prototype possible now. System architecture defined. No fundamental physics barrier.
Market Potential
Cybersecurity, AI/ML research, real-time simulation. [количественные оценки — требует уточнения из базы]
Typical Project Economics
Estimated rack cost: $5,000–15,000. Energy usage: very high, comparable to exascale silicon systems. Maintenance: high (tube degradation, hot-swap design).
Risk Factors
Very high energy usage comparable to exascale silicon systems. High maintenance burden from tube degradation. Requires development of soldering and placement automation at unprecedented scale.
Related Technologies
[требует уточнения из базы]