Data Power Supply

[Data Power Supply @datapowersupply]

Most data center projects fail for one simple reason: their power strategy is the weakest link.
That’s where we come in.

At Data Power Supply, we don’t just “support” your project — we eliminate your power bottlenecks and keep your timeline unstoppable.

⚡ 36-week lead times

[Elon Musk @elonmusk]

That’s how making a startup succeed goes

[Data Power Supply @datapowersupply]

@JHayes913

[JHayes982 @JHayes913]

What if the next breakthrough in critical infrastructure isn’t just about building more… but computing smarter?

At IDGAF Holdings, we’re focused on identifying and advancing dual-purpose technologies that can reshape industries where computational efficiency matters most.

Our first platform, EK-TORUS, is a numerical correction runtime designed to improve long-horizon simulation accuracy while reducing computational overhead without requiring changes to existing models or hardware.

Recent benchmark results include:
• 1,102 paired benchmark tests
• 96.4% overall win rate
• Up to 160× improvement in numerical accuracy on validated benchmark workloads
• Significant reductions in compute time across selected quantum simulation benchmarks

We’re proud to be participating in the NVIDIA LaunchPad Program and the IBM Quantum Accelerator Program as we continue expanding third-party validation and real-world testing.

This is bigger than quantum.

The same class of numerical optimization has potential applications across:
⚡ AI infrastructure
🏭 Industrial simulation
🌎 Energy systems
🛰️ Aerospace
🛡️ Defense
💊 Drug discovery
💹 Financial modeling

We don’t just invest in technology.

We find it. We validate it. We help bring it to market.

If you’re working on computationally intensive simulations and are interested in evaluating EK-TORUS on your own workloads, we’d welcome the conversation.

#AI #HPC #QuantumComputing #NumericalMethods #Simulation #DigitalEngineering #NVIDIA #IBMQuantum #Infrastructure #DualUseTechnology #IDGAFHoldings #EKTORUS

[Data Power Supply @datapowersupply]

@JHayes913

[JHayes982 @JHayes913]

Every day, quantitative desks and risk teams pay a silent 30% to 60% "overcompute tax" on their Monte Carlo simulations. 
Why? Because traditional time-integrators slowly leak energy over long runs, accumulating numerical drift. To compensate and keep models stable, quants are forced to shrink their timesteps far below what the math actually requires—burning millions in unnecessary GPU-hours. 
At IDGAF Holdings, we designed EK-Torus to completely eliminate this bottleneck. 
Our in-process SDK applies a lightweight, number-theoretic correction schedule that re-imposes conservation laws at runtime. It requires absolutely zero changes to your underlying models, solvers, or hardware. 
The validated benchmarks for Hamiltonian Monte Carlo (HMC) workloads are game-changing: 
3.95x median energy conservation improvement. 
74.7% reduction in compute time to reach the same effective sample size. 
Intraday risk runs compressed from 4 hours down to ~1 hour. 
Our Business Model: Pure Gainshare
We don't ask you to buy on faith. We back our math with a completely risk-free alignment model:
1. The Free Test: We benchmark your proprietary workloads to prove the drift reduction. 
2. The Pilot: We run a localized trial to measure your exact, real-world GPU/cloud savings. 
3. The License: Your annual license agreement is calculated as a flat percentage of the proven infrastructure costs we save you. If you don't save money, we don't get paid. 
If you are ready to reclaim your GPU budget and run risk analytics 4x faster, let’s talk.

[Data Power Supply @datapowersupply]

@JHayes913

[JHayes982 @JHayes913]

Can software improve the accuracy of aerospace simulations without changing hardware?

Over the past year, we’ve been validating EK-TORUS, a numerical correction framework designed to reduce accumulated numerical drift in compute-intensive simulations.

Across 1,102 paired benchmark experiments spanning seven computational domains, EK-TORUS achieved a 96.4% improvement rate.

Validated benchmark results include:

* 160× higher accuracy in lattice gauge theory simulations.
* 100× higher accuracy in Fermi-Hubbard simulations.
* 47× higher accuracy in transverse-field Ising models.
* 33× higher accuracy in quantum chemistry.
* A representative quantum chemistry workload reduced from 30 days to approximately 15 hours, lowering compute cost by roughly 97%.
* Successfully validated on NVIDIA H200 GPUs and IonQ Forte-1.

For the aerospace and space industry, we’re particularly interested in evaluating applications such as:

* High-fidelity CFD nozzle mesh simulations for rocket engines
* Combustion and propulsion modeling
* Orbital mechanics and long-duration trajectory propagation
* Spacecraft guidance, navigation, and control simulations
* Re-entry aerothermodynamics
* Digital twins for launch vehicles and spacecraft
* Structural finite element analysis
* Multi-physics simulations for hypersonic systems
* Satellite constellation optimization
* AI-driven engineering design and optimization

We’re not claiming these aerospace-specific improvements have already been demonstrated. Our validated results come from other numerically intensive computational domains. The next step is partnering with organizations to independently evaluate EK-TORUS on real aerospace workloads.

We recently presented the technology at the Dual-Use Tech Conference in Silicon Valley and are looking to collaborate with aerospace engineers, computational physicists, HPC teams, and space organizations to determine where measurable improvements can be achieved.

If you’re working on advanced simulation, propulsion, or spacecraft design, I’d welcome your technical feedback. Independent validation is exactly what we’re looking for.

[JHayes982 @JHayes913]

The Quantum Race Isn’t About More Qubits. It’s About Better Results.

I just watched Bloomberg’s The Race to Harness Quantum Computing, and it reinforces what the entire industry is focused on: building larger, more powerful quantum systems.

But there’s another side of the equation.

As quantum hardware advances, accuracy, stability, and computational efficiency become just as important as qubit count.

That’s where EK-TORUS comes in.

Instead of replacing existing quantum hardware or software, EK-TORUS is designed to work as a numerical correction layer that improves computational fidelity and reduces drift in quantum simulations.

Our testing has demonstrated:
✔️ 1,102 benchmark experiments completed
✔️ 96.4% overall improvement rate
✔️ Validation on NVIDIA H200 GPUs and IonQ Forte-class quantum hardware
✔️ Up to 160× greater accuracy in selected quantum simulation benchmarks
✔️ Significant reductions in compute time and cost for complex simulations

As companies like NVIDIA, IBM, Google Quantum AI, IonQ, Quantinuum, PsiQuantum, and others continue pushing quantum hardware forward, we believe software innovations that improve the quality of results will be an equally important part of the ecosystem.

The race to quantum advantage isn’t only about building faster computers.

It’s about enabling scientists, engineers, and researchers to trust the answers those computers produce.

We’re excited to be part of that conversation. It was a great documentary link below

Check out this video, "the race to harness quantum computing"

https://t.co/TLsd0LoIAB

#QuantumComputing #QuantumAI #NVIDIA #IBMQuantum #GoogleQuantumAI #IonQ #Quantinuum #PsiQuantum #Supercomputing #HPC #ScientificComputing #Innovation #DeepTech #EKTORUS #FutureOfComputing

[Data Power Supply @datapowersupply]

@americanparty48 @JHayes913

[Data Power Supply @datapowersupply]

@JHayes913

[JHayes982 @JHayes913]

Infrastructure is no longer just a support function it’s the foundation of innovation.

Every major breakthrough in AI, digital manufacturing, autonomous systems, healthcare, and scientific computing depends on one thing: scalable, resilient infrastructure.

As we join the NVIDIA Inception LaunchPad ecosystem, we’re excited to collaborate with innovators building the next generation of AI-powered solutions. This is an opportunity to accelerate development, connect with world-class resources, and help transform breakthrough ideas into real-world impact.

we believe the future belongs to organizations that can deliver the infrastructure behind AI power, compute, connectivity, and deployment at scale.

The next decade won’t be defined by who has the best ideas alone. It will be defined by who can build the infrastructure to bring those ideas to life.

The future is infrastructure-driven. The future is AI-powered. And we’re just getting started.

#AIInfrastructure #NVIDIA #LaunchPad #DataCenters #HighPerformanceComputing #DigitalInfrastructure #Innovation #FutureOfAI #PoweringAI #DataPowerSupply #idgaf #idgafholdings

[JHayes982 @JHayes913]

Every simulation makes tiny errors. One doesn't matter. Millions do.
This "numerical drift" silently drains your GPU hours, balloons budgets, and delays results.
EK-TORUS runs alongside your software, correcting drift in real-time to slash compute costs.
#HPC #Simulation #EKTorus

[Data Power Supply @datapowersupply]

@JHayes913 Nice 🫡

[JHayes982 @JHayes913]

The next breakthrough in AI won’t just come from faster chips.

It will come from better mathematics.

EK-TORUS isn’t another AI model, another GPU, or another quantum computer.

It’s a numerical correction framework that has now been evaluated across 1,102 paired experiments spanning 7 quantum computing domains.

The results:

• 96.4% overall win rate
• Up to 1,262× greater accuracy as systems scaled
• 100% wins on Fermi-Hubbard benchmarks
• Quantum chemistry workloads reduced from 30 days to ~15 hours
• Up to 97% reduction in compute cost for those workloads
• Validated on NVIDIA H200 GPUs and IonQ Forte hardware

If these results continue to hold under broader independent validation, the implications extend far beyond quantum computing.

AI.
Drug discovery.
Energy.
Defense.
Advanced manufacturing.
Scientific simulation.

The biggest opportunity in computing may not be building larger models.

It may be eliminating unnecessary computation.

We’re actively looking to collaborate with hyperscalers, national labs, government agencies, universities, and enterprise partners interested in validating and applying EK-TORUS.

The future of computing may not require more power.

It may require fewer mistakes.

#AI #QuantumComputing #HPC #ArtificialIntelligence #GPU #NVIDIA #IonQ #Quantum #Supercomputing #ScientificComputing #Energy #DefenseTech #Innovation #DeepTech #MachineLearning

[JHayes982 @JHayes913]

EK-TORUS: the thin correction layer eliminating 30-86% compute waste in physics simulations. Integrator/hardware/time agnostic. Proven on 41k quantum experiments + real IonQ hardware. Send your workload for testing. https://t.co/ftLEnaNf1k #QuantumComputing #HPC #PhysicsSimulation #EnergyEfficiency #TechInnovation #Aerospace #DataCenters @dwavequantum @GoogleDeepMind @IBMwatsonx @IBM @SpaceX

[JHayes982 @JHayes913]

Proud to have presented EK-TORUS at Dual Tech Summit in Silicon Valley! Wall-clock compute time reduction for physics simulations. Integrator/hardware/time agnostic. Faster results. #DualTechSummit #EKTorus

[Data Power Supply @datapowersupply]

@americanparty48 @JHayes913 Lmao

[JHayes982 @JHayes913]

Every simulation leaks 30-60% compute in hidden drift. EK-TORUS fixes it.
A thin correction layer above integrators delivers 86% savings, validated on 41k+ quantum experiments (96.4% win rate) & real IonQ hardware (+37% under noise).
No change to your model. <2% overhead. Works on classical & quantum.
Watch the full story
Driving efficient AI/quantum infrastructure for South Florida’s growth. This is the ultimate competitive mote. #bettermath
#AI #Quantum #DataCenters #HPC #Infrastructure @nvidia @Microsoft , @Google @Amazon @Oracle @CoreWeave ,@Crusoe @OpenAI @Meta @IBM @Pfizer @Equinix , @DigitalRealty @QTS Data Centers . @SpaceX @blueorigin @elonmusk

[Data Power Supply @datapowersupply]

@JHayes913 😳🤯 50% less GPUs needed

[Data Power Supply @datapowersupply]

@JHayes913