Turkey AI Processor Chip Market Size and Forecast by Hardware Architecture, Power Envelope, Memory Integration Type, Node Type, and End User: 2019-2033

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Industry Assessment Overview

Industry Findings: Türkiye’s AI procurement calculus now links a refreshed national action plan with a rapid build-out of shared HPC capacity, creating predictable demand for accelerators that can serve both research and industrial workloads. The updated National Artificial Intelligence Action Plan 2024-2025 published in Jul-2024 set explicit actions to increase access to high-performance computing and to commercialise domestic AI technologies. That public roadmap reduced uncertainty for enterprises and public labs, encouraging pooled investments in national clusters and clearer mandates for verified model-benchmarking. In the near term, academic consortia and industrial R&D teams will prioritise accelerators optimised for sustained training runs and reproducible benchmarking; over the medium term, national-scale procurement and EuroHPC-aligned funding will favour vendors who provide validated stacks, energy-conscious designs and close foundry or packaging pathways to shorten qualification cycles for automotive, defence and industrial AI use cases.

Industry Player Insights: Among the many providers in this market, a few include Turkcell, Google Cloud, TÜBİTAK ULAKBİM (TRUBA), and Aselsan etc. Türkiye’s national HPC operator TRUBA upgraded ARF-class supercomputing capacity with large-scale GPU investments that materially raised national training throughput and provided new testbeds for accelerator validation (Nov-2024). Turkcell announced a strategic cloud and infrastructure cooperation with Google Cloud to accelerate local hyperscale region capabilities and to expand enterprise access to GPU-backed services (Nov-2025). TÜBİTAK’s coordinated investments and EuroCC partnerships continued to strengthen local HPC-onramp programmes across 2024, improving researcher access to validated accelerator nodes. These developments reduce sourcing risk, accelerate large-model experimentation domestically, and push procurement toward vendor offers that bundle hardware, software optimization and compliance-ready benchmarking.