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Technical Due Diligence for GPU Infrastructure
TDD beyond the data centre
Technical Due Diligence (TDD) for AI/GPU infrastructure extends beyond power, cooling and connectivity to assess the advanced compute platform and the technical assumptions underpinning service delivery.
Compute & architecture
GPU configuration, network and storage architecture, topology and hardware lifecycle.
Performance & capacity
Capacity, utilisation, performance and degradation assumptions against expected demand.
Platform & operations
Software stack, monitoring, automation, orchestration, resilience and operational capability.
Service & deliverability
Staffing, OEM dependencies, SLAs, service commitments and delivery assumptions.
Assessment grounded in real HPC & AI infrastructure experience
- Trusted, independent expertise: Vendor-agnostic advice with no supplier bias, providing objective technical insight.
- Real-world experience: Practical expertise across the design, delivery and operation of complex HPC, AI and GPU environments.
- Specialist technical depth: Deep knowledge across compute, storage, networking, software, performance and operations.
- Commercial understanding: Evaluating technical decisions with service commitments, operational risk and long-term deliverability.
FAQs
Conducted alongside a wider due diligence process, technical due diligence is most valuable when key financial assumptions depend on technical factors that have not been independently validated.
Yes. Red Oak provides independent technical assessment and can act for the sell-side and buy-side sides of a transaction.
Yes. We assess whether the proposed infrastructure, operating model and service commitments are technically capable of meeting the requirements of intended customers.
Yes. We assess the technical basis of assumptions relating to utilisation, capacity, customer requirements, service commitments and operational delivery.
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