Compute Partnerships Lead architecting and operating GPU sourcing for Prime Intellect’s AI infrastructure. Building capacity systems for enterprise deployments and frontier model research.
Responsibilities
Develop and execute Prime Intellect’s global GPU sourcing strategy across H100/H200/B200-class infrastructure and beyond.
Structure commercial agreements that balance cost, flexibility, term length, and growth optionality.
Identify and evaluate infrastructure partners across hyperscalers, specialized AI clouds, data centers, colocation providers, and hardware vendors.
Lead negotiations on pricing, SLAs, capacity reservations, expansion rights, and risk allocation.
Continuously optimize blended gross margins through disciplined sourcing and contract structuring.
Secure capacity for internal frontier RL research and model training.
Coordinate closely with research and engineering teams to understand workload requirements (training vs inference vs long-context deployments).
Align capacity planning with enterprise deployment roadmaps.
Ensure compute supply keeps pace with customer expansion and new model launches.
Work with infrastructure, platform, and DevOps teams to ensure partner capacity is onboarded efficiently and runs reliably in production.
Track uptime, delivery timelines, and performance metrics across partners.
Manage escalation paths and issue resolution with providers.
Design playbooks for expanding from pilot deployments to large-scale clusters.
Monitor global GPU supply dynamics, pricing trends, export constraints, and vendor roadmaps.
Diversify supply to reduce concentration risk.
Model long-term capacity requirements across revenue scenarios.
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