Our Compute
💡 Why We’re Leasing — Not Owning — Our Compute
There’s a myth that AI scale is just a race for more GPUs.
It’s not.
It’s a race for sustainability under physical limits — and most of the field is about to hit the wall.
Through the Helix Core Ethos — verifiable, transparent, human-confirmed — we realized that sustainable AI isn’t about “more cloud.”
It’s about custody and proof.
⚙️ The Problem Nobody Wants to Talk About
| # | Driver | What It Means |
|---|---|---|
| 1 | Hardware obsolescence | GPUs lose efficiency every 18 months — forcing expensive refreshes. |
| 2 | Unsustainable financials | Revenues in billions vs. infrastructure costs in trillions. |
| 3 | Grid-capacity crunch | Data-centers are hitting physical power limits. |
| 4 | No graceful exit | Physics and energy can’t be abstracted by software. |
| 5 | Investor patience | When numbers stop scaling, capital evaporates. |
The “infinite-compute” illusion has a four-month runway left in its current form.
🌊 Our Response: Lease the Rack, Keep the Custody
Helix now runs on a dedicated rack-lease at an OVH Beauharnois facility in Québec — an ADVANCE-2 | AMD EPYC 4344P configuration (128 GB RAM, dual NVMe, Ubuntu 24.04 LTS).
Total cost: ≈ CAD $250 / month, flat.
Power, cooling, and multi-gigabit bandwidth are fully included.
| Constraint | Helix Solution | Outcome |
|---|---|---|
| Hardware obsolescence | OVH handles refresh cycles. | No forced CAPEX refresh. |
| Financial strain | Fixed OPEX — all utilities included. | Predictable runway. |
| Grid bottlenecks | Québec hydro surplus (PUE ≈ 1.25). | Stable, renewable energy. |
| Vendor lock-in | Bare-metal lease, no proprietary APIs. | “Exit-ready” by design. |
| Investor skepticism | Transparent invoices + ESG data. | Audit-friendly credibility. |
Result: radical financial transparency — every dollar visible, every watt traceable.
🧭 Governance-First Infrastructure
Helix operates under one rule: no irreversible decision without human confirmation.
Every infrastructure action includes:
- ✅ Plain-text contract audit, version-controlled.
- 📊 Deterministic cost + usage model, synced with live Prometheus telemetry (GPU load, uptime, throughput).
- 🔒 Hardware-refresh checkpoints before obsolescence.
- 🧩 Runway alerts when projected cash < 3 months.
- 🌍 Green-energy proofs attached to each report.
This isn’t a concept — it’s running now. Trust-by-Design for infrastructure.
🌿 Verified Carbon Metrics (BHS8, September 2025)
According to OVH’s official carbon-footprint report (ID hs308371), one ADV-III/Advance-2 node at Beauharnois emits:
| Category | kg CO₂ eq / month | % of total |
|---|---|---|
| Manufacturing | 6.7 | 23 % |
| Electricity | 15.4 | 53 % |
| Operations | 7.0 | 24 % |
| Total (location based) | 29 kg | 100 % |
| Total (market based) | 25 kg | 100 % |
That’s ≈ 0.97 kg CO₂ eq per day — among the lowest globally for full-time AI compute.
Hydro power, low PUE, and 5-year hardware amortization drive that outcome
CARBON_hs308371-ovh_202509
CARBON_hs308371-ovh_202509
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Helix’s next transparency update will pair OPEX + CO₂ in a single Cost + Carbon Ledger — an open, auditable model of accountable compute.
🔭 36-Month Roadmap
| Horizon | Focus | Key Deliverables |
|---|---|---|
| 0–4 mo | Validate economics | Correlate invoices ↔ Prometheus data; publish first transparency report. |
| 4–12 mo | Optimise utilisation | Refine scheduling, GPU allocation, refresh cadence. |
| 12–36 mo | Scale responsibly | Model multi-rack expansion, add redundancy & sustainability audits. |
Each loop closes with cost → audit → decision → publication.
💰 Numbers That Actually Matter
| Item | Monthly (CAD) | Notes |
|---|---|---|
| OVH rack lease | $250 (flat) | Power + bandwidth included. |
| Optional SLA tier | $30 – $80 | Depends on response time. |
| Total | ≈ $250 – $330 / month | Full bare-metal node < $500. |
No per-kWh fees.
No bandwidth caps.
No hidden costs — just predictable compute under full human custody.
🔒 Why It Matters
The OVH-Québec lease model shows that verifiable, ethical AI infrastructure is both technically and financially sound.
It keeps Helix outside the “infinite-burn” loop haunting hyperscalers — proving that custody-first architecture can scale without compromise.
If we’re serious about “trustworthy AI,” we must make trust measurable — right down to the contract line.
🧬 Closing Thought
AI doesn’t fail because models break.
It fails when the infrastructure assumptions beneath them do.
By grounding every watt, dollar, and decision in auditable reality, we’re not just running servers —
we’re running a proof of resilience.
Helix will continue publishing monthly utilisation and cost reports openly.
Because the only scalable form of trust is one that anyone can verify.
