Polyimide tape has become a critical insulation material for advanced AI infrastructure because it provides long-term thermal stability, excellent dielectric insulation, low outgassing performance, an...
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AI servers are running hotter than a summer sidewalk, and thermal interface materials for AI servers are now the make-or-break fix standing between peak performance and fried silicon.
How to improve TIM performance between power dies and heat spreaders in AI server modules — patent strategies from Intel, Google, Tesla, IBM, and Laird.
By improving thermal transfer at every contact point, TIMs enable AI servers to sustain higher performance, reduce component stress, and extend system lifespan, making them a critical
As AI servers push power densities to the limit—often exceeding 3kW to 5.5kW—the demands on the Power Supply Unit (PSU) have never been higher.
Polyimide tape is widely used in AI servers because it provides excellent thermal resistance, dielectric insulation, and long-term reliability in high-density GPU and electronics
From hyperscale data centers and AI training clusters to edge AI inference nodes, HPC (high-performance computing) systems, and enterprise GPU servers, today''s AI infrastructure depends on
The combination of cutting-edge evaporator technology and industry-leading two-phase CDU offers untethered potential to address the thermal needs of next-generation AI servers and processors
Laird Tgel™ 600 provides a high-performance, dispensable thermal gel tailored for AI server cooling. It eliminates burn-in processes, simplifies application, and ensures consistent thermal conductivity.
His design, now published in Nature Communications, achieves ultra-low thermal resistance while increasing cooling efficiency via improved heat dissipation. It also proves to be highly reliable.
In any AI server or data center hardware, heat must travel from the source (e.g., GPU die) to the cooling solution (heat sink, cold plate, or liquid loop). However, surfaces are never
A key question arises: Can the heat generated inside the AI chip be fully and evenly transferred to the package lid? The internal thermal path of a chip involves multiple layers — silicon
Prefabricated micro-modular data centers and edge pods, scalable from 5 to 50 racks, ready for 5G and edge AI workloads.
Single-phase immersion cooling tanks and direct-to-chip liquid cooling switches, achieving PUE below 1.1.
GPU-accelerated AI servers, high-density server racks, and network cabinets optimized for AI/ML workloads.
Real-time data center infrastructure management, plus overhead cable trays and fiber bridges for structured cabling.
We provide custom data center infrastructure solutions, from micro-modular DCs to immersion cooling and AI-ready racks.
From design to deployment, our team ensures energy-efficient, scalable, and carrier-grade digital infrastructure.
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