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Sovereign-Ready Environments
WHY COMPUTE NEEDS A MARKET
AI compute is becoming too critical to remain dependent on fragmented supply, ad hoc procurement, and opaque pricing. As demand accelerates, access to capacity must be supported by structured allocation, contractual visibility, and market-based coordination.
Compute Must Be Structured as a Strategic Resource
Infrastructure supply organized at regional scale.
Reservations supported by defined commercial terms.
Clearer visibility across supply and demand.
Capacity aligned with long-term planning.
Strategic Coordination
Contractual Capacity
Transparent Access
Structured Allocation
Committed 2026 AI infrastructure capital expenditure by the world's five largest technology companies.
$690B
For comparison: the entire U.S. oil and gas extraction industry spent approximately $130 billion in capital expenditure in 2023. Amazon alone exceeds this.
The Demand Signal
MANASSA EXCHANGE
Infrastructure Stack
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GPU compute production & allocation at sovereign-grade scale
Transparent capacity marketplace for enterprise and government buyers
Exchange-traded compute futures with Miyar-indexed settlement
Options, swaps, and risk management products
Hedgeable revenue streams for data center operators
Once futures exist, operators can hedge forward — Just like locking in WTI
Transparent capacity marketplace for enterprise and government buyers
Exchange-traded compute futures with Miyar-indexed settlement
Options, swaps, and risk management products
Hedgeable revenue streams for data center operators
Once futures exist, operators can hedge forward — Just like locking in WTI
Manassa is the industrial infrastructure layer — the rig, the refinery, the exchange floor. Where Miyar is the financial standard, Manassa is the physical and digital platform on which compute is produced, allocated, traded, and settled.
The industrial infrastructure
Manassa is being developed as the market interface for structured compute access, allocation, and coordination. While the full platform remains under development, its architecture is intended to support a new layer of visibility and execution for AI infrastructure markets.
Under Development
MANASSA INTERFACE
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$
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/ GPU hour
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/ GPU hour
/ GPU hour
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RTX Pro 6000
A100 SXM4
H200
B200
H100 SXM
Nvidia
Nvidia
Nvidia
Nvidia
Nvidia
“Standard” in Arabic. The benchmark against which all compute is measured. Just as Arab Light and Brent Crude set the global standard for pricing oil, the Miyar Index sets the global standard for pricing AI compute.
Establishing the Standard for AI Compute Pricing
The Gulf doesn't just supply AI compute. It prices it.
The Miyar Compute Index
Miyar is designed to reflect the underlying factors that determine how AI compute is priced across real deployment environments. Rather than referencing GPU class alone, the benchmark incorporates the infrastructure and commercial conditions that influence capacity value across regions, counterparties, and operating models.
Infrastructure Conditions Shape Compute Pricing
INDEX METHODOLOGY
Each layer is larger than the last. Physical AI — robots, vehicles, drones — runs continuously, creating permanent, always-on compute customers.
Three layers of demand
Pricing compute today is like pricing oil in 1905, before the Model T made every family need gasoline. Physical AI is the Model T moment for compute.
DEMAND TRAJECTORY
