Spheron Due Diligence

Run due diligence on Spheron: check compliance and get alerts when suppliers change.

India · spheron.network · 12 vendors

Spheron Network is a decentralized compute platform that aggregates GPU and CPU capacity from various providers, offering cost-effective and scalable resources for AI/ML workloads and Web3 applications. It aims to decentralize compute infrastructure by transforming idle consumer hardware into globally accessible compute resources, providing an alternative to centralized cloud providers. The platform provides a unified API and dashboard for accessing enterprise-grade GPUs at a lower cost than traditional cloud providers.

Resilience scores

Technology vendors

Services catalogue

1 service in catalogue across 1 category; runs on 12 sub-vendors.

Insights

Last updated 2026-08-14 · revision 1

12 direct vendors, 157 subvendors

Direct vendors by controlling owner country (sample)

Subvendors by controlling owner country (sample)

Compliance

11 in-scope frameworks identified; showing 3.

ISO 27001 (source) — Evidence found

Evidence: https://www.spheron.network/, https://www.spheron.network/privacy/

India IT Act 2000 — Evidence found

Evidence: https://www.spheron.network/privacy/, https://www.meity.gov.in/content/information-technology-act

FERPA — Evidence found

Evidence: https://www.spheron.network/privacy/, https://www.spheron.network/

Financials

Three-year financials

Financial Resilience Score: 5/10

Spheron Network is a privately held Indian GPU cloud / AI infrastructure marketplace with no publicly disclosed financial statements. No verified figures for revenue, EBIT, or shareholders' equity are available for FY23, FY24, or FY25, making a definitive quantitative assessment impossible. The company is not listed on any exchange and its India MCA filings were not retrievable, so any resilience score must be based purely on qualitative factors. Qualitatively, Spheron benefits from strong sector tailwinds in GPU-as-a-service and AI compute, one of the fastest-growing global markets in 2024-2026. Its asset-light marketplace model aggregates GPU capacity from Tier 3/4 data centers rather than owning inventory, which lowers CapEx, avoids the heavy debt burden carried by peers like CoreWeave, and reduces depreciation/obsolescence risk from rapid NVIDIA hardware refresh cycles (H100 → H200 → B200 → B300 → R100). Product breadth spans on-demand, spot, and reserved billing across 10+ NVIDIA SKUs, with stablecoin and fiat payment options. However, the business faces thin reseller margins (marketing 40-60% discounts vs. hyperscalers), supply concentration risk on data-center partners, intense competition from well-funded neoclouds (CoreWeave, Lambda, Nebius, Crusoe, RunPod) and hyperscalers (AWS, Azure, GCP, OCI), and unclear regulatory exposure from its Web3 legacy and US GPU export controls. Without visibility into runway, profitability, or leverage, a mid-range resilience score is appropriate.

Key strengths: Positioned in high-growth GPU-as-a-service / AI compute market, Asset-light marketplace model avoids heavy CapEx and depreciation risk, Broad product catalog: 10+ NVIDIA SKUs across on-demand, spot, reserved billing, Named enterprise/research customers including Stanford, UC Berkeley, Baseten, Prem AI, io.net, Replika, Compliance posture: ISO 27001, SOC 2 Type I/II, HIPAA via data-center partners, 99.9% uptime SLA and multi-node InfiniBand clusters for enterprise, Active NVIDIA supply relationships including pre-orders for Rubin (R100/H300)

Risk factors: No public financial disclosure prevents verifiable assessment of runway, profitability, or leverage, Thin-margin reseller economics undercutting hyperscalers by 40-60%, Supply concentration risk on partner data centers, NVIDIA / GPU hardware cycle risk compresses economic life of reserved inventory, Intense competition from CoreWeave, Lambda, Nebius, Crusoe, RunPod, Vast.ai, and hyperscalers, Web3 legacy exposure with unclear regulatory posture on token-based incentives, India regulatory and US GPU export control exposure on cross-border data flows

Revenue by geography

Revenue by product/service

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