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Caliper

Caliper provides AI infrastructure optimization technology that helps data center operators estimate and achieve improved compute performance per chip and better Power Usage Effectiveness (PUE). Through an interactive assessment tool, operators input location, capacity, and workload details to receive performance improvement projections, backed by a full-stack engineering approach spanning software, machine learning, and hardware design.

Traction –/10
HQ unknown
  • Clean Technology
  • Artificial Intelligence
  • Hardware
Updated 5 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

AI infrastructure operators face diminishing returns from individual chips, struggling to extract maximum compute performance while managing power consumption and facility efficiency. Traditional data center designs and software stacks leave significant headroom for improvement in compute-per-chip and Power Usage Effectiveness (PUE), yet operators lack actionable insights to quantify and realize these gains.

Solution

Caliper provides AI infrastructure optimization technology that helps data center operators estimate and achieve improved compute performance per chip and better PUE. Through a structured assessment tool, operators input location, capacity, and workload details to receive performance improvement projections. The company builds both hardware and software solutions, combining engineering disciplines from computational geometry to industrial controls to deliver more intelligence per unit of energy consumed. The company's stated mission is to bring an abundance of intelligence to the world by delivering more compute-per-MW.

Target Audience

Primary customers are AI data center operators, hyperscalers, and enterprises running large-scale AI workloads who need to maximize compute throughput per chip while reducing energy consumption.

Features

  • Interactive estimation tool that projects compute-performance and PUE improvements from location, capacity, and workload inputs
  • Full-stack engineering approach spanning software, machine learning, hardware, mechanical, and electrical systems design
  • Focus on industrial controls and electrical systems to optimize power delivery and cooling efficiency
  • Computational geometry engineering applied to physical infrastructure layout and optimization
This profile is AI-generated and may contain inaccuracies.