[lcus_masonry_article]<\/p>\n
The AutoPhi V18 Voxel Processor \u2014 Entry Series #250<\/strong> (SKU: APV18-ENT-0250-45NM) is a mid-tier Entry processor priced at approximately $200,000.00<\/strong>, delivering an estimated 1.8 GFLOPS<\/strong> on the 45nm<\/strong> node with approximately 250 qubits<\/strong>. This is the point in the AutoPhi V18 catalog where Giga-class performance becomes reality \u2014 billions of floating-point operations per second from a single voxel processor.<\/p>\n List Price:<\/strong> ~$200,000.00 USD<\/p>\n At $200K, the Entry #250 enters enterprise procurement territory. The cost-per-GFLOP is approximately $111,111<\/strong> \u2014 but remember this includes a ~250-qubit quantum subsystem that has no equivalent in conventional computing. The classical compute alone (1.8 GFLOPS) is competitive with dedicated embedded processors, but the quantum integration transforms this into a research-grade hybrid computing platform.<\/p>\n For enterprise buyers, the $200K price point is comparable to a single high-end GPU accelerator or a small HPC cluster node \u2014 but no GPU or cluster node includes 250 qubits of integrated quantum computing. The value proposition is not just FLOPS-per-dollar; it is the combination of classical and quantum compute in a single, unified architecture.<\/p>\n Compute Performance:<\/strong> ~1.8 GFLOPS<\/p>\n Fabrication Node:<\/strong> 45nm<\/p>\n Quantum Integration:<\/strong> ~250 qubits<\/p>\n Performance Class:<\/strong> Giga-class<\/p>\n At 1.8 GFLOPS, the Entry #250 delivers 1.8 billion floating-point operations per second \u2014 an 18,000x improvement over the Seed #1 baseline. The 45nm node provides substantial improvements in transistor density, power efficiency, and clock speed over the 65nm models in the lower Entry range. The ~250-qubit quantum subsystem is large enough for production quantum error correction, deep variational quantum circuits, and quantum simulation of molecular systems with hundreds of orbitals. This is the processor for national laboratories, pharmaceutical companies, and financial institutions running quantum-enhanced workloads.<\/p>\nCost Breakdown<\/h2>\n
Performance Specifications<\/h2>\n