Purpose-built GPU infrastructure for mid-market AI companies. 1,000–20,000 GPU clusters, 100% reserved, silicon-agnostic, live in 4–6 months.
2,500 funded AI startups. 50–100 active infrastructure buyers. Zero purpose-built options for dedicated GPU clusters at this scale — until Meridian.
Mid-market AI companies need 1,000–10,000 GPUs on 6–12 month timelines.
Nobody serves them. Until now.
Meridian delivers dedicated GPU clusters through a 100% reserved instance model. Every rack is contracted before deployment. Zero utilization risk.
Annual commitments at fixed rates. Revenue is guaranteed before we rack a single GPU — no spot exposure, no idle capacity. Every cluster is contracted before deployment begins.
NVIDIA, AMD, TPU, FPGA. Ethernet-only (RoCE v2). Optimized per workload, never locked to one vendor.
50–70% TDP draw. PCIe sufficient, Ethernet adequate. Lower power and cooling than training clusters.
N. Virginia, Dallas, Phoenix, Sacramento. ERCOT + utility power across markets, not one campus bet.
Project-level equity via ring-fenced SPVs. Founders keep 100% OpCo control, IP, and customer relationships.
GPUs and Ethernet drop into existing colo shells — no construction risk, no multi-year build. LOIs are secured before deployment begins, so capacity is live while competitors are still pouring concrete.
We own the scarcest asset in AI — the GPUs — outright. Every other layer of the stack is delivered through best-in-class, swappable partners. Maximum control where it counts; maximum flexibility everywhere else.
Liquid-cooling retrofit, powered-shell buildout, 24/7 data-center operations, and greenfield construction — delivered by specialist build partners.
Ethernet-based inference fabric. No InfiniBand. Silicon agnosticism preserved end to end.
GPU residual-value programs salvage hardware at ~30% of initial CapEx at month 36, funding the refresh cycle and protecting the asset we own.
Power, cooling, and environmental sensors across the stack — capacity planning and predictive analytics.
NVIDIA, AMD, TPU, FPGA. Best tokens-per-watt per workload, with zero vendor lock-in.
Own the asset. Flex the stack. = the most performance-focused, vendor-neutral inference offering available today.
A $49.8B market with no purpose-built solution for its fastest-growing segment. We built the infrastructure mid-market AI companies have been waiting for.
Training dominated the last cycle. Inference dominates the next one. The mid-market is where that shift lands first — and hardest.
Hyperscalers won't touch sub-150 MW deals
1,000–10,000 GPU clusters, purpose-sized
Spot markets can't guarantee SLAs or dedicated capacity
100% reserved model — zero utilization volatility
2–4 year build timelines kill product roadmaps
4–6 month deploy into existing colo shells
Dedicated GPU clusters deployed in 4–6 months. 100% reserved capacity, zero utilization risk, silicon-agnostic. Built for AI companies that can't afford to wait.