GPU Depreciation Schedules: Neoclouds vs Hyperscalers

CoreWeave depreciates its GPU servers (technology equipment) over a straight-line 6-year useful life per its 2025 Form 10-K, after extending from 5 years effective January 2023; this choice reduces near-term depreciation expense (e.g., ~$20M lower in 2023) and supports stronger reported margins/EBITDA while aligning with multi-year customer contracts that often feature take-or-pay commitments and prepayments.[1][2]

This policy assumes GPUs retain economic value long enough for full cost recovery through rentals, including potential second-life use (e.g., CoreWeave disclosed an A100 contract extending into 2029 on hardware introduced in 2020). It matches the schedules of major hyperscalers like Alphabet, Microsoft, and Oracle (generally 6 years for servers/network equipment) but exceeds more conservative neocloud approaches.[2]

• CoreWeave’s S-1/10-K filings and earnings commentary tie the schedule to infrastructure investments funded partly by customer contracts (typical terms around 3–5 years, with examples of attractive pricing on older SKUs).[3]
• The extension lowered 2023 expenses and was presented as reflecting extended usability amid rapid fleet growth (majority Hopper GPUs at the time of IPO filing).[4]
• Analyst and media commentary (e.g., FT) flags the 6-year horizon as aggressive in an AI context where architectures advance quickly, raising questions about resale value vs. book life, though CoreWeave points to ongoing demand and contract renewals.[4][5]

For someone entering or competing in the neocloud space, CoreWeave’s choice illustrates how a longer schedule can improve near-term financial optics and support debt financing (by showing slower expense recognition), but it heightens scrutiny on utilization, renewal pricing, and residual values—especially if customer concentration or tech shifts accelerate obsolescence.[6]

Nebius (formerly tied to Yandex) uses a 5-year straight-line schedule for servers and network equipment (per its 2025 Form 20-F), after extending from 4 years effective January 2026 to reflect “usage patterns and current utilization commitments”; this change reduced 2026 depreciation by roughly $167.6 million.[1][2] IREN (Iris Energy) applies 5 years to HPC hardware/GPUs per its fiscal 2026 10-K.[1]

These shorter schedules accelerate expense recognition relative to CoreWeave or hyperscalers, producing more conservative margins but potentially better insulating against future write-downs in a fast-evolving GPU market. Nebius’s extension was explicitly linked to observed utilization and commitments, suggesting alignment with contracted demand.[2]

• Lambda Labs is reported at 5 years in multiple analyses of neocloud policies.[7][7]
• Crusoe (private, with recent large funding rounds) lacks public filing detail on exact schedules; its CEO has publicly emphasized that GPUs can remain profitable for 6+ years (or 7–8 years per some Lambda commentary) across diverse workloads, supporting redeployment of older hardware rather than rapid obsolescence.[8][8]
• Similar neoclouds or GPU-focused filers (e.g., WhiteFiber at 5 years, DigitalOcean at 6 years for servers including GPU instances) cluster around 5–6 years.[1]

Nebius’s adjustment shows how utilization data from contracts can justify (or require) changes to estimates; competitors using shorter lives may face higher reported costs but gain credibility with auditors/investors wary of aggressive assumptions.[9]

Hyperscalers (Alphabet, Microsoft, Oracle at 6 years; Meta at 5.5 years; Amazon generally 5–6 years with a subset shortened to 5 years in 2025 citing accelerated AI tech development) largely converged on 5–6 year server/network lives after multiple extensions since 2020 (16 of 17 changes lengthened lives).[1][2]

Neocloud GPU-specific or AI-focused schedules trend slightly shorter on average (median ~5 years where explicitly named) than broad hyperscaler categories, though CoreWeave matches the longer end. Amazon’s 2025 subset shortening explicitly referenced faster AI/ML hardware pace and increased 2025 depreciation by $1.4 billion.[10]

• Most changes since 2020 extended lives, lowering depreciation and boosting earnings (e.g., Meta’s 2025 move to 5.5 years cut ~$2.92 billion in depreciation).[1]
• Where filings distinguish GPUs or AI hardware, lives are often at the shorter end of the range.[1]

The convergence suggests industry-wide confidence in multi-year GPU utility (including inference/lower-priority workloads), but neoclouds’ more AI-centric fleets may warrant (or invite) more conservative estimates than diversified hyperscalers.[11]

Depreciation schedules interact directly with contract structures: neoclouds commonly use 3–5 year take-or-pay agreements with significant customer prepayments (e.g., IREN reports 45–55% of GPU capex covered on recent 3-year deals; Nebius notes 50–60% in some Q2 2026 deals) that de-risk financing and support payback periods as short as ~2 years on compute investment.[12][13]

CoreWeave references typical ~5-year contracts that repay asset-level debt and leave residual capacity for renewals or secondary use; an A100 example running into 2029 illustrates potential beyond initial terms.[3] Nebius’s 2026 life extension cited utilization commitments, directly tying accounting to contracted demand.[2]

• Prepayments and creditworthy offtakers (e.g., Microsoft deals enabling ~6% financing rates) allow lower borrowing costs, with lenders pricing risk based more on the customer than the GPU itself.[14]
• Shorter contracts or weaker counterparties correlate with higher financing rates (e.g., double-digit yields on unsecured or lower-rated GPU debt).[6]

Longer depreciation relative to contract length assumes successful renewals or redeployment; mismatches (e.g., 5-year debt vs. 3-year contracts) require confidence in ongoing demand and pricing power.[6]

No specific SEC comment letters or auditor commentaries on these policies appear in public filings or reports reviewed; changes are treated as accounting estimates under standard GAAP/IFRS rules, with impacts disclosed (e.g., Nebius’s $167M benefit).[2]

Analyst and investor critiques focus on potential overstatement of profits if economic lives are shorter than assumed (e.g., Michael Burry’s 2025 commentary on industry-wide understated depreciation of ~$176 billion across 2026–2028, flagging hyperscalers and implying risks for neoclouds; FT and Seeking Alpha pieces questioning 6-year horizons amid rapid Nvidia generational shifts).[7][4][5]

• Book life is explicitly distinguished from resale/liquidation value in analyses; lenders are advised to use market residual data rather than accounting schedules.[1]
• Defenses emphasize workload diversity (training → inference → other AI tasks) and observed utilization keeping older GPUs (e.g., H100s) profitable and priced stably.[8]

Critiques highlight that aggressive schedules can mask true economics in a high-capex, high-depreciation business; entrants should model sensitivities around 4–6 year ranges and stress-test against resale data or impairment scenarios.[15]

Overall, neocloud GPU depreciation (clustered at 5–6 years) largely tracks hyperscalers but with more variation tied to AI focus and contract visibility; the choice materially affects reported profitability, debt capacity, and perceived risk, with longer schedules providing accounting support for growth but inviting skepticism on sustainability.[11]

Companies like CoreWeave benefit from alignment with hyperscaler norms and strong backlog visibility, while shorter schedules at Nebius/IREN/Lambda offer conservatism. No major regulatory pushback has surfaced, but ongoing monitoring of utilization, renewals, and impairments will determine if estimates hold. New entrants should prioritize contracted demand and secondary-market data over pure accounting lives when sizing capital or competing on unit economics.

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Recent Findings Supplement (November 2026)

CoreWeave maintains a 6-year straight-line useful life for technology equipment (including GPU servers), extended from 5 years effective January 1, 2023.[1][2] This non-cash change reduced 2023 expenses by about $20 million. In its Q2 2026 earnings (reported August 2026), the company highlighted an A100 contract (chips introduced in 2020) extending into 2029 at attractive pricing, framing this as evidence of multi-cycle commercial value beyond initial 5-year contracts.[3][3] Typical customer contracts average around 5 years (or 3 years in some debt contexts), with some facilities showing 5-year debt maturities against shorter contracts; management presents this as lender confidence in ongoing demand.[4][4]

• Recent quarterly depreciation and amortization reached $1.393 billion (54% of revenue), up sharply year-over-year.[5]
• Debt agreements reference a 6-year GPU Depreciated Amount with no explicit salvage/residual value terms noted in analyses of filings.[6]
• Analysts (e.g., Goldman Sachs in October 2026) model scenarios using 4.5–6-year GPU lives, estimating significant additional debt needs even under longer assumptions to fulfill backlog.[7]

This policy aligns depreciation closer to some hyperscalers (Microsoft, Alphabet, Oracle at 6 years) while providing a buffer versus shorter neocloud assumptions, but it hinges on secondary contracts and renewals materializing at viable pricing to cover debt service after initial terms.[8]

Nebius extended its useful life estimate for servers and network equipment from 4 to 5 years effective January 2026.[8][2] This accounting change is projected to reduce 2026 depreciation expense by approximately $167.6 million.[2] Filings as of mid-2026 confirm the 5-year policy (shorter than CoreWeave’s 6 years).[8]

• One October 2026 analysis contrasted Nebius trading at ~9x replacement cost of its H100-equivalent fleet versus CoreWeave near 1.2x, tying this partly to differing depreciation and capex perceptions amid rapid generational price declines (replacement costs halving roughly every 49 months per merchant data).[9]
• No auditor or SEC comment letter details emerged on this change.

The extension brings Nebius in line with IREN and some Amazon subsets while still shorter than CoreWeave or Meta’s 5.5 years, potentially improving near-term reported margins but leaving less cushion if actual economic lives or resale values prove shorter.[8]

IREN applies a 5-year useful life to HPC hardware/GPUs per its fiscal 2026 10-K.[8][8] No policy change was reported after May 2026. The company emphasizes customer prepayments (45–55% of GPU capex on recent 3-year contracts) and financing structures that cover most or all of GPU costs upfront, with payback periods around 2 years on deals generating >$20 million revenue per MW.[10][11]

• Focus in 2026 earnings materials and calls remains on contract ramp (e.g., Microsoft deal) and decommissioning mining operations by end-2026 rather than depreciation revisions.[12]
• Depreciation rose with higher capacity and GPU deployments, contributing to net losses alongside impairments.[13]

Shorter schedules versus CoreWeave accelerate expense recognition but pair with structures that front-load customer funding, reducing reliance on long post-depreciation tails.

Hyperscalers show mixed but generally longer or similar schedules: Microsoft/Alphabet/Oracle at 6 years, Meta at 5.5 years, with Amazon varying (some subsets at 5 years after prior extensions or shortenings).[8][8][2] Across 21 filers reviewed in October 2026 data, 16 of 17 useful-life changes since 2020 lengthened estimates.[2] Neocloud contract lengths (often 3–5 years) frequently align with or fall inside depreciation periods, making renewals, secondary use (e.g., inference after training), or residual value critical. Analyst critiques highlight that book lives do not equal resale or economic value—collateral can face haircuts from generational price drops (e.g., H100-era financing versus newer replacement costs), with some noting GPU rents recently exceeding 6-year schedule assumptions amid post-April 2026 demand.[14][9]

• No specific SEC comment letters or auditor reports on these policies appeared in recent searches.
• Crusoe (private) CEO comments in October 2026 emphasized that old GPUs may retain value longer than assumed via workload shifting, but provided no numerical schedule.[15][16] Lambda had no new public policy details.

For entrants or competitors, these policies underscore the need to model cash economics separately from accounting (e.g., via contract-backed financing and real-time rental/resale data) rather than relying solely on 5–6 year straight-line assumptions. Mismatches between depreciation, debt maturities, and actual utilization or obsolescence remain a focal point of scrutiny, with recent renewal evidence and life extensions providing some counter to bear cases but not eliminating collateral or funding gap concerns in a fast-evolving hardware cycle. Data is drawn from 2026 filings, earnings, and analyses published after May 2026; private firms like Crusoe and Lambda offer less granular public detail.