1. Purpose
LEAPEF's internal platform for GPU-backed structured finance. Used to build conviction on asset pricing, stress-test assumptions before investor calls, and generate the analytical basis for term sheets. The Methodology tab is shared externally when investors ask "how did you arrive at this number?"
2. Secondary Market Price Model
SECONDARY_PRICE(t) = (P₀ − F_eff) × e^(−λ · t) + F_eff
P₀ = Purchase price today · F_eff = Effective floor (supply-chain derived) · λ = Decay rate · t = Months from purchase
Calibration: A100 (4+ years observed, floor confirmed ~$3,800) and H100 (27 months observed, floor forming ~$14,000–18,000). B300 and B200 are extrapolated from H100 precedent at equivalent age — clearly labelled as projections, not observations.
3. Infrastructure Compatibility — The Key Bear Case
B300 requires liquid cooling (mandatory at 1,200W TDP) and high-density power infrastructure. Only ~25–35% of data centres can host B300 without major capital investment (estimated $150–700K per rack retrofit). This structurally reduces the addressable secondary buyer pool from ~80% of data centres (H100) to ~30% (B300). A smaller buyer pool means lower floor relative to a pure supply-chain analysis. The $7,000 infrastructure discount in the floor derivation accounts for this.
4. Generation Transition Analysis
Each generation transition has caused progressively less depreciation pressure on the prior generation. The inference market absorbs supply faster with each cycle — but B300's infrastructure constraint partially offsets this positive trend.
V100 → A100 (2020)
Strong acceleration. V100 dropped ~60% in 18 months post-A100. Inference market too small to absorb displaced supply. Floor: ~10–15% of launch price.
A100 → H100 (2023)
Moderate impact. A100 declined but stabilised at $3,800–4,500 (32% of launch). Growing inference demand absorbed displaced workloads. Floor held — consistent with model.
H100 → B200 (2024–25)
Minimal impact. H100 LTC rate actually rose after B200 launched. Demand now outpaces supply across generations. B300 benefits from this trend — with the infrastructure caveat.
B300 caveat: The positive trend (less acceleration each cycle) is offset by the infrastructure compatibility constraint. B300's smaller buyer pool means any transition effect hits harder in the secondary market. This is why the infrastructure discount is applied to the floor — not despite the positive trend, but in addition to it.
5. Model Validation — A100 and H100 Back-Test
The same model applied to A100 and H100 closely tracks actual secondary market prices — validating the methodology before applying it to B300.
Solid line = observed secondary market prices. Dotted line = model prediction. Close tracking = well-calibrated model.
6. Monte Carlo Bands
P(t+1) = max[(P₀−F_eff)·e^(−λ·t) + F_eff + σ·√(1/12)·Z, F_eff·0.80] · Z~N(0,1) · 1,000 paths
P50 = central estimate. P25 = cautious case for covenant floor analysis. The cone widens over time — genuine uncertainty, not imprecision.
7. LEAPEF Deal Flow Index
DFI = Σᵢ[wᵢ×(contract_priceᵢ/market_priceᵢ)] / Σwᵢ · wᵢ = units × confidence
DFI > 1.0 = LEAPEF deals above public market (bullish) · DFI < 1.0 = caution signal
PIN-gated. Session-only. Never stored or transmitted. The DFI value and anonymised chart markers are the only external outputs.
Disclaimer
LEAPEF AB internal analytical tool. Not investment advice, a credit rating, or a formal valuation. All projections are probabilistic estimates. LEAPEF AB is a registered AIFM (Finansinspektionen). March 2026.