Seamlessly accelerates legacy Java, Python, and SQL infrastructures with zero downtime and zero code modification. Slashes power draw, server sprawl, and carbon emissions by up to 194x.
Real-time side-by-side execution profiler comparing legacy computing stacks with the active AETERNA Transmutation Layer.
Zero simulation. Measured directly on bare-metal silicon (AMD Ryzen 7000 Series / 16 Threads / 24GB RAM).
| Metric | Standard Enterprise Stack (Legacy) | AETERNA Transmuted Stack | Advantage Factor |
|---|---|---|---|
| Processing Time (50M Ops) | 21,516.28 ms (21.5 seconds) | 110.76 ms (0.11 seconds) | 194.25x Faster |
| Throughput (Ops / sec) | 2,323,821 Ops/sec (2.32 Mops) | 451,420,000 Ops/sec (0.45 Gops) | +19,300% Higher |
| Memory Footprint | 2,800 MB (Heap fragmentation & GC) | 190 MB (Contiguous SIMD Array) | 14.7x Density |
| Hardware Required for Equivalent Output | 195 Enterprise Cloud Instances | 1 Local Micro-Processor | 195x Server Collapse |
| Cluster Power Draw | 97,500 Watts (97.5 kW) | 65 Watts | 1,500x Less Energy |
Calculate your annual electrical, CO₂, and financial savings by transmuting your legacy infrastructure.
How AETERNA accelerates mission-critical workloads without touching a single line of business code.
Attaches transparently to live legacy containers or bare-metal processes via lock-free shared memory and zero-copy IPC channels.
Automatically isolates unvectorized bottlenecks, heavy JSON deserialization, and high-frequency matrix operations, executing them in parallel hardware SIMD registers.
100% bit-for-bit equivalence and deterministic validation. Guarantees zero regression or state divergence in financial and clinical data flows.