Applications / AI & High-Performance Computing

AI & High-Performance Computing

AI and HPC devices run hard, run hot, and run continuously. Burn-in with test helps make sure they’re ready for it before they’re deployed at scale.

A glowing blue sphere marked with the letters “AI” floating above a digital network of connected dots and lines.

The semiconductor devices at the heart of AI and high-performance computing, accelerators, processors, memory, and interconnects are designed to operate near their performance limits for extended periods of time. In data center and cloud environments, that means sustained electrical and thermal stress, high utilization rates, and limited tolerance for early-life failures that can disrupt workloads and increase operational cost. Burn-in with test supports AI and HPC devices by helping identify latent defects and validate device robustness before deployment, where the cost of a failure is far higher than the cost of screening.

Key Specifications

  • Supports engineering qualification and production screening for high-power compute devices
  • Applicable to AI accelerators, GPUs, CPUs, high-bandwidth memory, and interconnects
  • Addresses early-life failure risks associated with sustained high-load operation

Key Statistics

~$500B

AI chip market projected by 2026

$30K–$40K+

Typical leading AI accelerator unit cost

700W–1,000W+

Per-device power, advanced AI accelerators

Key Features & Benefits

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The Cost of Early-Life Failures at AI Scale

In large-scale data center deployments, even a small number of early-life device failures can interrupt workloads, trigger hardware replacement, and create operational disruption that far exceeds the cost of thorough production screening. Burn-in with test shifts the risk of discovery from post-deployment to pre-deployment, where it’s far less expensive to address.

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Built for the Power Demands of Modern AI

AI accelerators and HPC processors represent some of the highest-power semiconductor devices ever produced. Burn-in systems used in these applications need to deliver stable power and maintain consistent thermal conditions over extended test durations. Micro Control’s HPB-6 and HPB-8 are purpose-built for this environment.

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High-Power Devices Demand High-Power Burn-In

AI accelerators and HPC processors operate at power levels that place extraordinary demands on burn-in systems: stable voltage delivery, precise thermal control, and the ability to sustain those conditions over extended test durations without variation. Micro Control’s HPB-6 and HPB-8 are designed specifically for this environment, providing the electrical and thermal stability that high-power device screening requires.

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A Complement to Your Existing Validation Stack

Burn-in with test is most effective as part of a broader reliability strategy that includes functional testing, performance characterization, and system validation. It doesn’t replace those steps; it fills in the gap that sustained stress exposure addresses, giving you additional confidence that standard testing can’t provide on its own.

WE’RE BUILT TO BUILD

Burn-In with Test for the Devices That Power AI

From engineering qualification to large-scale production screening, Micro Control supports burn-in with test devices for the world’s most advanced AI and high-performance computing semiconductor devices.

Relevant Systems

HPB-8

Micro Control's most powerful burn-in with test system, with individual temperature control per device and capacity for devices over 2,000 watts. Built as a standalone automation solution for AI, automotive, and advanced semiconductor production.

HPB-6

A high-power burn-in with test system with individual temperature control per device, engineered for devices up to 1,000 watts. A turnkey automation solution that scales from a single cell to a full production line.