[lcus_masonry_article]<\/p>\n
The AutoPhi V18 Voxel Processor \u2014 Entry Series #300<\/strong> (SKU: APV18-ENT-0300-45NM) is the final and most powerful processor in the Entry tier. Priced at $675,638.00<\/strong>, it delivers 12.21 GFLOPS<\/strong> on the 45nm node with approximately 464 qubits<\/strong>. This is the ceiling of the Entry Series and the last stop before the Mid tier’s premium performance and pricing.<\/p>\n List Price:<\/strong> $675,638.00 USD<\/p>\n At $675,638, the Entry #300 costs 675x more than the Seed #1 but delivers over 122,100x more performance (12.21 GFLOPS vs. 100 KFLOPS). The cost-per-GFLOP is approximately $55,335<\/strong> \u2014 a dramatic improvement from the Entry #250’s ~$111,111\/GFLOP. The cost-per-KFLOP has plummeted to approximately $0.055<\/strong> \u2014 over 99.4% cheaper per unit of compute than the Seed #1 baseline.<\/p>\n The ~464-qubit quantum subsystem is the largest in the first four tiers. At 464 qubits, the processor supports quantum volume sufficient for production quantum chemistry, large-scale combinatorial optimization, and quantum machine learning models trained on datasets that would be intractable for purely classical approaches. For enterprise procurement teams, the $675K investment buys a computing resource that combines classical and quantum capabilities unavailable at any price from conventional chip vendors.<\/p>\n Compute Performance:<\/strong> 12.21 GFLOPS<\/p>\n Fabrication Node:<\/strong> 45nm<\/p>\n Quantum Integration:<\/strong> ~464 qubits<\/p>\n Performance Class:<\/strong> Giga-class<\/p>\n Over 12 billion floating-point operations per second from a single voxel processor. The 45nm node is fully optimized at this point in the catalog, and the voxel configuration complexity has scaled to extract every available transistor. The 464-qubit quantum layer supports fault-tolerant quantum computing with multiple logical qubits, enabling quantum algorithms that require error correction \u2014 the essential capability for moving quantum computing from research curiosity to production deployment.<\/p>\nCost Breakdown<\/h2>\n
Performance Specifications<\/h2>\n