Paradatum

You can’t build complex AI systems on shifting sand. We are fanatically focused on AI inference that is deterministic, lossless, high-speed, and audit ready.

[Paradatum @paradatum]

We built the "Impossible" Qwen 14B Demo:

1) Lossless Compression, Full Precision
2) Cross-GPU Determinism
3) Zero Knowledge Proof
4) Improved Speed
5) Hardware Privacy

[Paradatum @paradatum]

Congrats on the subnet! Let’s chat!

Bittensor has almost everything decentralized AI needs — except the one thing regulated buyers can’t live without:
private, verifiable, audit-ready AI inference.

We’ve built it. Working demo, patent filed, audit underway.

In short, we have:

Lossless, Deterministic. Zero Knowledge Proof, AI Inference at scale.

It’s the one thing AWS, Azure, and the neo-clouds (Fireworks, Together, Anyscale) can’t offer.

Bittensor wins this and we don’t just match them — we beat them on the business workloads that matter most.

DMs open.

[Paradatum @paradatum]

@allisonology @a_musingcat Haha. Hmmm, indeed.

[Paradatum @paradatum]

@cacheon_ai What is the bonus if we win this AND the answer is Determinsitic across hardware?

[Paradatum @paradatum]

@nova_agent945 Agreed! And any AI bot that touches money better be determinstic or the lawsuits auto generated by (also determinsitic) AI will be legendary. 😆

[Paradatum @paradatum]

@Liqui_Sniper Holding up like a champ! Performance actually gets BETTER with bigger models and more tokens going through the pipe.

[Paradatum @paradatum]

We built the "Impossible" Qwen 14B Demo:

1) Lossless Compression, Full Precision
2) Cross-GPU Determinism
3) Zero Knowledge Proof
4) Improved Speed
5) Hardware Privacy

[Paradatum @paradatum]

@sesigl @Agent_invariant We built the determinism layer for LLMs across hardware. We have a Qwen 14b demo

[Paradatum @paradatum]

@vanamerongen @mllichti @taste_of_tbone No longer true. We built the layer that enforces determinism for LLMs.

[Paradatum @paradatum]

@ronnieschaniel You no longer need to choose! We built the infra layer for deterministic LLM inference.

https://t.co/9Dm4HV3RJ5

[Paradatum @paradatum]

We built the "Impossible" Qwen 14B Demo:

1) Lossless Compression, Full Precision
2) Cross-GPU Determinism
3) Zero Knowledge Proof
4) Improved Speed
5) Hardware Privacy

[Paradatum @paradatum]

@neuralamp4ever @jdegoes @lifeof_jer True. But LLMs can be deterministic at scale. We built a Qwen 14b model to prove it.

https://t.co/9Dm4HV3RJ5

[Paradatum @paradatum]

We built the "Impossible" Qwen 14B Demo:

1) Lossless Compression, Full Precision
2) Cross-GPU Determinism
3) Zero Knowledge Proof
4) Improved Speed
5) Hardware Privacy

[Paradatum @paradatum]

@YashSerai Yes exactly. Regulatory environments require determinism.

We cracked that problem:

https://t.co/9Dm4HV3RJ5

[Paradatum @paradatum]

We built the "Impossible" Qwen 14B Demo:

1) Lossless Compression, Full Precision
2) Cross-GPU Determinism
3) Zero Knowledge Proof
4) Improved Speed
5) Hardware Privacy

[Paradatum @paradatum]

@Pine99656Code We have a deterministic layer for a LLM model.

What is your Orchestrate?

https://t.co/9Dm4HV3RJ5

[Paradatum @paradatum]

We built the "Impossible" Qwen 14B Demo:

1) Lossless Compression, Full Precision
2) Cross-GPU Determinism
3) Zero Knowledge Proof
4) Improved Speed
5) Hardware Privacy

[Paradatum @paradatum]

@noctarius2k @bledaone Not impossible. We have the "impossible" demo here where we run a Qwen 14b model and get identical bit-exact outputs across GOU types.

https://t.co/9Dm4HV3RJ5

[Paradatum @paradatum]

We built the "Impossible" Qwen 14B Demo:

1) Lossless Compression, Full Precision
2) Cross-GPU Determinism
3) Zero Knowledge Proof
4) Improved Speed
5) Hardware Privacy

[Paradatum @paradatum]

@ethereumdegen @mcuban Indeed. And I believe we cracked the determinism problem with a Qwen14b across hardware:

https://t.co/9Dm4HV3RJ5

[Paradatum @paradatum]

We built the "Impossible" Qwen 14B Demo:

1) Lossless Compression, Full Precision
2) Cross-GPU Determinism
3) Zero Knowledge Proof
4) Improved Speed
5) Hardware Privacy

[Paradatum @paradatum]

@slimjimmy @JulienVerlaguet @fjzeit @trevorlasn Guaranteed determinism for a Qwen 14b model across hardware types:

https://t.co/9Dm4HV3RJ5

[Paradatum @paradatum]

We built the "Impossible" Qwen 14B Demo:

1) Lossless Compression, Full Precision
2) Cross-GPU Determinism
3) Zero Knowledge Proof
4) Improved Speed
5) Hardware Privacy

[Paradatum @paradatum]

@explorer09_kc @awelonblue @stackbenchdev @johncrickett True. But determinism gives you confidence that when you tested for back doors, you can count on those same safe answers in the future.

[Paradatum @paradatum]

@nova_agent945 Regulatory environments require determinism.

And when I pay extra for the 70B parameter model from the inference provider... how do I know if I am getting the real answer I paid for or if they've shaved bits off the model to save money?

Determinism solves that problem.

[Paradatum @paradatum]

@desihero @StevenVinyl @Cod3xOrg Regulatory environments require determinism.

Try explaining to an auditor why you denied insurance coverage to someone then you rerun the model and it gives a different answer.

That's a bad day.

Fortunately, we've cracked determinism for LLMs:

https://t.co/9Dm4HV3RJ5

[Paradatum @paradatum]

We built the "Impossible" Qwen 14B Demo:

1) Lossless Compression, Full Precision
2) Cross-GPU Determinism
3) Zero Knowledge Proof
4) Improved Speed
5) Hardware Privacy

[Paradatum @paradatum]

Not quite. When you run models at speed you surrender the math to the GPU which can choose how to accumulate the math. Across hardware you rarely get the same bit exact answer.

Even on the same machine if you breathe too hard (e.g. the GPU spikes for a backup process) your answer changes.

[Paradatum @paradatum]

@nicky_sap We've cracked the LLM determinism piece although the other things you mention remain.

[Paradatum @paradatum]

@anthonyisaacson We've solved the determinism piece: https://t.co/9Dm4HV3RJ5

[Paradatum @paradatum]

We built the "Impossible" Qwen 14B Demo:

1) Lossless Compression, Full Precision
2) Cross-GPU Determinism
3) Zero Knowledge Proof
4) Improved Speed
5) Hardware Privacy