▸ Independent Standard · v1.0 · April 21, 2026

CEH™
(Compute Energy Hour)

The independent, auditable standard unit for measuring how efficiently energy is converted into compute output — across any hardware, any facility, any energy source. Originated by Oak Ridge Management / DGE&I.

▸ CEH™ Formula · v1.0
CEH™ =
  ( TDP_W × Units × Util% × PUE )
  ÷ 1,000
  ÷ Output_Units_per_Hour
TDP_W Thermal Design Power per unit (watts)
Units Count of accelerator units in configuration
Util% Average utilization rate (0–1)
PUE Power Usage Effectiveness (facility ratio)
Output Compute Output Units per hour (COU-dependent)
What CEH™ Measures

CEH™ Rate

The core measure: kilowatt-hours of energy consumed per unit of compute output. Lower is more efficient. Energy-agnostic — the formula is identical regardless of energy source.

kWh / output_unit

CEH™ Cost

The economic dimension: CEH™ Rate multiplied by the energy rate ($/kWh). Enables direct comparison across grid-connected and BTM infrastructure using the same energy source rate input.

CEH™ × $/kWh (any source)

CEH™ Carbon

The environmental dimension: CEH™ Rate multiplied by the grid or facility carbon intensity (kg CO₂/kWh). Comparable across regions and energy mixes without conflating efficiency with source attribution.

CEH™ × kg CO₂/kWh
Compute Output Unit (COU) Definitions

The COU is the workload-specific unit of output that defines the denominator in the CEH™ formula. COU selection is workload-portable: CEH™ rates are comparable within a workload class. Cross-class comparisons require normalized COU translation per the v1.0 methodology.

LLM Inference
Tokens / hour
Output tokens/sec · Llama-class · batch 8 · vLLM
Primary workload class for CEH™ Index v1.0. Throughput sourced from MLPerf v5.1, CUDO, Koyeb, Spheron (2025–26).
Model Training
TFLOPS / hour
Sustained FP16/BF16 floating-point ops/sec
Mixed-precision training workloads. Equivalent CEH™ thresholds defined in v1.0 methodology specification.
Rendering / VFX
Frames / hour
GPU rasterization + ray tracing pipeline
Studio-grade rendering workloads. Grade thresholds scale to normalized frame complexity factor.
HPC / Simulation
Iterations / hour
Simulation steps/sec · domain-specific normalization
Scientific computing and simulation workloads. Requires per-study COU normalization per methodology spec.
COU definitions are public and workload-portable. Cross-class comparison requires normalized COU translation as specified in CEH™ v1.0 methodology. The CEH™ Index v1.0 benchmarks LLM Inference (Tokens) exclusively.
CEH™ Efficiency Grade Scale
S
< 2.0 × 10⁻¹⁰ kWh/token
Deploy as primary inference hardware
A
2.0 – 4.0 × 10⁻¹⁰
Cost-competitive; preferred configuration
B
4.0 – 8.0 × 10⁻¹⁰
Viable for mixed workloads; monitor utilization
C
8.0 – 15.0 × 10⁻¹⁰
Suitable for low-priority or burst workloads
D
15.0 – 30.0 × 10⁻¹⁰
Avoid for sustained production
F
> 30.0 × 10⁻¹⁰
Retire or limit to legacy use only
Thresholds calibrated to LLM Inference (token output). Equivalent thresholds for training (TFLOPS), rendering (frames), and HPC (iterations) are defined in the CEH™ v1.0 methodology specification.