Compute

Compute tokens

Tokenized GPU capacity for training, inference, Monte Carlo, and risk grids—priced transparently per compute unit.

GPU token catalogue

Token

GPU: Accelerator tier A · high-throughput matrix units
HBM memory: 192 GB HBM-class · 5.3 TB/s effective
Ideal workloads: Large-model training · Monte Carlo (high path count) · Batch inference

Price

$0.94per GPU-hour

Token

GPU: Accelerator tier B · expanded memory bandwidth
HBM memory: 256 GB HBM-class · higher effective bandwidth
Ideal workloads: Multi-epoch training · Scenario risk grids · Low-latency inference

Price

$1.18per GPU-hour

Token

GPU: Accelerator tier C · frontier-scale pools
HBM memory: 288+ GB HBM-class (roadmap)
Ideal workloads: Frontier backtests · VaR / ES simulation · Strategy research at scale

Price

$1.42per GPU-hour

Institutional table layout—alternating rows for scanability. Figures are representative; final SKUs follow platform issuance.

Token	GPU	HBM	Workloads	Unit price
GE-GPU-A	Accelerator tier A · high-throughput matrix units	192 GB HBM-class · 5.3 TB/s effective	Large-model training; Monte Carlo (high path count); Batch inference	$0.94per GPU-hour
GE-GPU-B	Accelerator tier B · expanded memory bandwidth	256 GB HBM-class · higher effective bandwidth	Multi-epoch training; Scenario risk grids; Low-latency inference	$1.18per GPU-hour
GE-GPU-C	Accelerator tier C · frontier-scale pools	288+ GB HBM-class (roadmap)	Frontier backtests; VaR / ES simulation; Strategy research at scale	$1.42per GPU-hour