Deterministic AI execution layer
Bit-exact, high-performance inference. Portable, reproducible, and audit-ready across hardware platforms.
- 2× throughput vs BF16
- 25–45% VRAM savings
- Hash-verifiable outputs
Same prompt, same model, three GPU nodes
SHA-256 of the output bits
Bit-exact match. Verification is a hash comparison.
Illustrative receipt.
Identical outputs for identical inputs, on any hardware.
Standard GPU inference drifts: floating-point ordering and scheduling change the output bits from run to run and machine to machine. Paradatum removes the drift without giving up speed.
Bit-exact on any hardware
The same output bits on every run, verified across platforms.
2× throughput, lower VRAM
Faster inference with 25–45% less memory than standard BF16.
Hash-verified for audit
Every output can be checked against a hash receipt for compliance.
Seamless hardware migration
Move workloads between GPUs and keep results consistent.
No floating-point drift
Deterministic kernel paths fix the execution order.
Measurable cost savings
Lower compute and memory spend, with performance you can measure.
Performance
Measured against standard BF16 inference.
| Measure | Result | What it means |
|---|---|---|
| Throughput | Up to 2× | Bit-exact speed gains across platforms. |
| VRAM | 25–45% less | Lower memory use for large models. |
| Reproducibility | 100% match | Identical outputs on every inference. |
| Audit safety | Hash-verified | Outputs are verifiable and audit-ready. |
| Portability | Multi-GPU | Consistent results on any supported hardware. |
| Efficiency | Optimized | Reduced compute and operational cost. |
See it run
A short walkthrough of deterministic execution and hash-verified outputs.
Open on YouTubeFrequently asked questions
What is deterministic AI execution?
Model inference that produces identical outputs for identical inputs, regardless of hardware or runtime environment. It eliminates floating-point drift and non-deterministic GPU scheduling, so results are audit-ready.
How does bit-exact reproducibility work?
Every inference run yields the same output bits, verified by hash receipts. Fixed execution semantics and deterministic kernel paths make this possible, which supports regulatory compliance and debugging.
What are the performance benefits?
Up to 2× throughput and 25–45% VRAM savings compared with standard BF16 inference, while keeping full determinism and hardware portability.
Is it hardware portable?
Yes. The execution layer is designed for cross-GPU compatibility, giving consistent, reproducible results across hardware platforms without vendor lock-in.
How is audit safety achieved?
Hash-verifiable outputs and deterministic execution allow transparent verification and compliance with regulatory standards in sensitive environments.
How does this compare to INT8 or BF16?
INT8 and BF16 can sacrifice determinism or accuracy. Paradatum provides both high performance and bit-exact reproducibility, for reliable, audit-ready inference at scale.
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