REAXIS AI
[ MACRO ANALYSIS ]
Bridging The GPU Asset Gap
The compute that powers AI doesn’t retire, it transitions. Today, $300B+ annual hyperscaler GPU spend generates massive fleet rotation, yet $176B in understated depreciation looms. Existing brokers move boxes but fail to operate fleets, leaving a critical operational gap.
The GPU Fleet Transition Operator
Reaxis AI occupies the vital layer between ITAD brokers and RVI insurers. We don't just price risk or move hardware; we take over live GPU fleets at contract wind-down to keep them productively deployed.
When primary hyperscaler or AI lab contracts expire, Reaxis AI steps in as an embedded transition operator. We re-contract that frontier compute for mid-market and enterprise buyers who require high-performance hardware at accessible, sub-frontier price points.
[ THE THREE PILLARS ]
Operating High-Performance Transition
Transition Operations
We manage fleet handoff, orchestration, and customer acquisition as primary lab contracts wind down.
Demand Matching
A proprietary layer re-contracting hardware to second-tier enterprise and regional AI buyers.
Lifecycle Intelligence
Telemetery-driven condition and utilization data enabling accurate risk pricing for our partners.
$300B+ ANNUAL GPU ROTATION • $176B DEPRECIATION GAP • NO DEDICATED OPERATORS • 010101
Unoccupied Market Position
Between the ITAD broker (box mover) and the RVI insurer (risk pricer) sits Reaxis AI: the operator. We provide the missing layer of operational value recovery and utilization management for live fleets.
Market Gap
$176B
Annual Spend
$300B+
Transition Role
Lead
Partner or Invest in Reaxis AI
We are currently engaging data center operators, neocloud fleet owners, and institutional capital partners. Join us as we execute the first fleet transition mandates in the market.
DIM1
Transition Execution
Active management of live fleet handoff vs. passive brokerage or purely financial insurance.
Operational Partner
DIM2
Economic Revenue
Structural yield sharing independent of hardware ownership, unlike capital-heavy neoclouds.
[COMPETITION]
DIM3
Market Exposure
Insulated from market timing through embedded lifecycle intelligence and demand matching layers.
What teams run on NVIDIA HGX B300
Train, fine-tune, and serve frontier language models on a platform built for memory-intensive workloads. HGX B300 carries significantly more memory per GPU than its predecessor.
Status
Confirmed allocation
Qty
1,000 systems
Config per unit
8x NVIDIA HGX B300 NVL8 | 2x AMD EPYC 9575F 128-Core | 2TB DDR5-6400
Target Buyer
Hyperscalers, AI Cloud Providers, Sovereign AI, Neoclouds, GPU-as-a-Service, Enterprise AI labs ($100M+ budgets)
Multimodal AI
Build and deploy AI systems that combine text, images, audio, or video. HGX B300 architecture efficiently balances compute and memory bandwidth.
AI reasoning and agentic AI
Develop and scale reasoning models and agentic systems that generate significantly more tokens per request. Sustains high throughput without constraints.
Transition Solutions
A strategic framework for data centers and mid-market enterprises looking to optimize their high-performance compute spend.
For Data Centers
Managed fleet exit strategies
Extended asset economic life
Reduced vacancy at wind-down
For Enterprise Buyers
Sub-frontier pricing models
Reliable inference scale
Enterprise-grade GPU access
For Fleet Owners
Maximized residual value
Active utilization telemetry
De-risked asset rotation
Investment Strategy
Institutional capital mandates
Secondary market stabilization
Structural yield generation
THE REAXIS AI EDGE
Closing the gap between primary contract expiry and terminal decommissioning.
OPERATOR VS BROKER • $176B DEPRECIATION GAP • INVESTOR GRADE DATA • SECOND LIFE YIELD • END-TO-END ORCHESTRATION • OPERATOR VS BROKER • $176B DEPRECIATION GAP • INVESTOR GRADE DATA • SECOND LIFE YIELD •
The First GPU Transition Operator
Reaxis AI is the missing infrastructure layer of the AI age. We ensure that as the world's most powerful compute rotates out of frontier labs, it finds its most productive second life within the enterprise and mid-market ecosystem.
Operational Ops
Transition Team
Capital Dept
Institutional Partner
Demand Team
Matching Specialist
Data Systems
Lifecycle Intel