Developer & AI Lab Benchmarks

Deterministic, wholesale reference rates tracking pure silicon compute density, marginal memory pricing, execution reliability, and token-generation economics. Completely unbundled from host overhead and retail cloud provider markups.

Compute Density

Pure Unit PetaFLOP Index

Global Rate Charted Index
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Active Basket 6 Architectures
PFLOP Basket
Volume-Weighted FP16 Tensor Capacity
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Standardizes diverse GPU architectures into a unified commodity benchmark: the wholesale dollar cost per PetaFLOP-hour of computational throughput. For AI engineers and cluster architects, it strips away vendor marketing to reveal the true cost of raw mathematical processing across disparate hardware platforms. For institutional investors and financial analysts, it establishes the fundamental reference price of compute—functioning like the price per barrel of oil to enable cross-hardware arbitrage, fair-value indexing, and forward capacity hedging.

Key Constituent Benchmarks Latest
H100 SXM5 H100 PCIe A100 SXM4 A100 PCIe L40S PCIe RTX 4090
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Reliability & Hazard

Job Tenor Survival Index

24h Completion Rate Charted Horizon
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Fleet-Weighted Hazard
Contract Scope 5 Curves
Tenor Curves
Survival Probability Distribution
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Quantifies the empirical completion probability for spot compute workloads across standard 1-hour, 6-hour, and 24-hour execution horizons. For machine learning engineers, it delivers the actuarial reliability data required to optimize checkpoint intervals, prevent lost work, and capture 60–80% spot market discounts without risking project timelines. For risk managers and credit underwriters, it acts as the definitive compute hazard curve—pricing operational eviction risk and establishing reliable SLA-backed discount benchmarks.

Standard Tenor Horizons & Archetypes Latest
1-Hour Tenor 6-Hour Tenor 24-Hour Tenor Scale-Up (SXM) 24h Enterprise (PCIe) 24h
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Memory Pricing

VRAM / Context Premium

Marginal Memory Rate Charted Index
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$ / GB-hr
Fleet Scope Fleet Model
Hedonic Slope
Cross-Architecture VRAM Premium
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Isolates the global marginal financial rate per Gigabyte of GPU memory per hour, separating high-bandwidth memory (HBM) value from raw processing cores. For AI labs and inference engineers, it delivers the vital unit economics needed to cost-optimize long-context reasoning, KV-cache sizing, and model sharding architectures. For hardware lessors and infrastructure financiers, it tracks the premium commanded by the industry's tightest hardware bottleneck—offering continuous visibility into the return on capital for memory-dense GPU fleets.

Standard Allocation Rates Latest
24 GB 40 GB 80 GB 96 GB 141 GB 192 GB
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Inference Economics

Cost of Intelligence Index

Wholesale Rate / 1M Charted Index
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Active Basket 5 Architectures
Inference Basket
Llama-3 70B FP16 Cluster Normalized
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Tracks the true wholesale hardware cost of goods sold (COGS) to generate one million tokens of LLM intelligence across industry-standard clusters. For engineering leads and CTOs, it demystifies the 'buy vs. build' equation—benchmarking self-hosted cluster efficiency against proprietary API markups to uncover dramatic cost reductions at scale. For CFOs, enterprise strategists, and equity analysts, it establishes the fundamental deflationary unit economics of generative AI, providing an empirical baseline for corporate margin forecasting and AI infrastructure ROI.

Key Constituent Benchmarks Latest
H100 SXM5 H100 PCIe A100 SXM4 A100 PCIe L40S PCIe
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