A New Era Begins: The World’s First Data Centers
Natively Designed for Heterogeneous Compute

Scaling AI’s Next Wave

Retrofitted, Heterogeneous Compute, Data Centers

Heterocore is pioneering a breakthrough in AI infrastructure: retrofitted, heterogeneous compute data centers. 

In a global AI market racing toward $2 trillion in cloud spend by 2030, today’s GPU-heavy, monolithic data centers are economically and environmentally unsustainable. Heterocore’s modular platform delivers a next-gen, future-proof solution, transforming underused real estate and power assets into high-performance, AI-ready supernodes. By integrating best-in-class, fully composable heterogeneous compute from leading providers, we optimize compute economics, energy efficiency, and deployment speed, unlocking AI at scale without the need for massive new capital expenditures or power.

Heterocore stands at the leading edge of a seismic shift in digital infrastructure, delivering agility, efficiency, and locality while while unlocking even greater compute performance. Hyperscalers power today. Heterocore is building what’s next.

The Infrastructure Crisis in AI Compute

AI is no longer a vertical, it's a foundational layer of modern computing. Large-scale model training, inference at the edge, and real-time multimodal analytics are driving exponential increases in compute demand:

  • LLM training is projected to increase
    3,000% by 2027

  • AI compute consumption is expected to rise
    50–100% annually

  • Cloud spending is expected to hit
    $2 trillion by 2030, with AI workloads
    accounting for 10–15%

Legacy infrastructure can’t keep up :

  • Legacy architectures can’t support high-density AI workloads

  • Power & space constraints delay access to capacity

  • Cooling systems worsen water stress

  • Capacity concentrated in few regions

  • Greenfield builds are slow and costly

  • 90%+ market share controlled by one vendor

Heterocore’s Strategic Response

  • Retrofitting Datacenters, Not Rebuilding

    Transforms underutilized sites into AI-ready facilities quickly and cost-effectively.

  • Composable, Heterogeneous Compute Integration

    Integrates third-party platforms combining CPUs, GPUs, FPGAs, and ASICs into unified compute fabrics.

  • Workload-Aware Optimization

    Dynamically assigns the right processor to each task, improving efficiency and performance.

  • Environmental and Economic Efficiency

    Up to 10× greater efficiency, 6× lower power usage, 30% CapEx reduction, and minimal water usage.

Heterocore’s Role in the Ecosystem

Heterocore is not a hardware vendor—we are an infrastructure innovator.

Our Role:

  • Identify and retrofit strategic data center sites

  • Integrate composable, workload-optimized
    compute platforms

  • Deliver infrastructure-as-a-service (IaaS)

  • Ensure vendor-neutrality and system adaptability

Our Flexible, Location-Driven Deployment Model:

Heterocore’s modular project entities enable rapid deployment across Edge/Micro Datacenters, Mid-Size Facilities and Hyperscale Retrofits—in various, diverse markets.

Our Target Customer Segments

  • Edge-first industries

  • Enterprises deploying multimodal AI

  • AI-native companies

  • Cloud-neutral organizations

Why Now?

Timing, Technology, and Tailwinds

We are at a rare inflection point:

  • AI is outgrowing legacy compute models

  • Power, land and rising costs and now gating constraints

  • Composable compute systems are ready to scale

Heterocore delivers next-generation infrastructure aligned with this shift, providing faster deployment, better economics, and sustainable outcomes.