HELIOS-3D
Speculative Updated 2026-06-03

Pitch Deck Outline

The Energy Crisis: Global AI power consumption is on a trajectory to exceed 1,000 TWh by 2026.

The 6-slide pitch outline. The current recommended demonstrator path is documented in Alternative Materials and Methods — the pitch describes the long-range research vision.

  1. 01

    The Thermodynamic & Environmental Wall

    • · AI power: trajectory to >1,000 TWh by 2026
    • · Water withdrawal: billions of m³ by 2027
    • · Physical limit: Joule heating + embodied carbon
    • · Motivation: bridge silicon-to-biological efficiency gap
  2. 02

    The HELIOS-3D Hypothesis

    • · Hybrid-manufactured Energy-Landscape Inference and Operation System
    • · Carrier shift: charge → topologically protected 3D spin textures
    • · Energy flip: investigate "spin caloritronics" — heat as locomotive force
  3. 03

    Proposed Dual-Core Architecture

    • · MCA: deterministic Compute-in-Memory via Spin-Orbit Torque
    • · BRC: stochastic, noise-driven decision-making in micro-confined reservoirs
    • · Aspirational target: fJ-scale switching energy
  4. 04

    A Proposed Fabrication Pathway

    • · DISH: rapid holographic instantiation of non-magnetic scaffolds
    • · TPP: sub-100 nm precision refinement of routing tracks
    • · ALD: hypothesized conformal coating of vdW ferromagnets (Fe₃GaTe₂)
  5. 05

    The Strategic Potential

    • · Energy efficiency: target reductions in energy per operation
    • · Area density: theoretical gains via 3D topological volumetric scaling
    • · Functional throughput: hypothesized high-throughput inference for specialized AI
  6. 06

    Strategic Sustainability

    • · Energy-proportional computing: zero leakage via non-volatile magnetic states
    • · Resource efficiency: "atomic logic" replaces bulk silicon + cooling cycles
    • · ESG alignment: 2030 carbon and water neutrality mandates

The carrier at the heart of the pitch. Stylized illustration — not simulation-accurate.

📊 HELIOS-3D: Research Investigation Pitch Outline

Slide 1: The Thermodynamic & Environmental Wall

  • The Energy Crisis: Global AI power consumption is on a trajectory to exceed 1,000 TWh by 2026.
  • The Water Crisis: Data center cooling withdrawal projected to reach billions of cubic meters by 2027.
  • The Physical Limit: Traditional CMOS faces unavoidable Joule heating and embodied carbon bottlenecks.
  • The Motivation: Bridging the efficiency gap between silicon infrastructure and biological benchmarks.

Slide 2: The HELIOS-3D Hypothesis

  • The Concept: Exploring a Hybrid-manufactured Energy-Landscape Inference and Operation System.
  • The Carrier Shift: Investigating the transition from electrical charge to topologically protected 3D spin textures (skyrmions and hopfions).
  • The Energy Flip: Researching “Spin Caloritronics” to determine if waste heat can be repurposed as a locomotive force for stochastic processing.

Slide 3: Proposed Dual-Core Architecture

  • Magnetic Convolutional Accelerator (MCA): Investigating deterministic Compute-in-Memory via Spin-Orbit Torque (SOT).
  • Brownian Reservoir Computing (BRC): Researching stochastic, noise-driven decision-making in micro-confined reservoirs.
  • Aspirational Targets: Theoretical projections target fJ-scale switching energy, representing a significant reduction over CMOS standards.

Slide 4: A Proposed Fabrication Pathway

  • HELIOS-3D investigates an integrated, hybrid manufacturing flow:
    1. DISH: Rapid holographic instantiation of non-magnetic scaffolds.
    2. TPP: Sub-100nm precision refinement of routing tracks.
    3. ALD: Hypothesized conformal coating of van der Waals ferromagnets (Fe3GaTe2Fe_3GaTe_2).

Slide 5: The Strategic Potential

  • If the HELIOS-3D hypothesis is validated, the architecture seeks to achieve significant orthogonal gains across three dimensions:
    • Energy Efficiency: Target reductions in energy per operation.
    • Area Density: Theoretical gains via 3D topological volumetric scaling.
    • Functional Throughput: Hypothesized high-throughput inference for specialized AI tasks.

Slide 6: Strategic Sustainability (Green Spintronics)

  • Energy-Proportional Computing: Achieving zero leakage current via non-volatile magnetic states.
  • Resource Efficiency: Using “Atomic Logic” (nanograms of critical materials) to replace bulk silicon-intensive cooling cycles.
  • ESG Alignment: Positioned to meet 2030 corporate carbon and water neutrality mandates.