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Thought leadership, market commentary, and technical analysis from inside the GPU aftermarket — for professionals who manage GPU assets at scale and need more than headlines.
Scarcity Premiums Are Real — But They Don’t Last the Way Sellers Hope
By GPU Resource Editorial StaffThe Premium Is Not Imaginary — But It Is Temporary GPU scarcity premiums are real. During peak demand cycles for Hopper (H100/H200) and Ampere (A100) silicon, verified spot rates climbed 30–60% above list for immediate-delivery inventory. That is not noise — that is the market clearing against constrained supply and aggressive...
Read Article →Sanitization as a Value Lever, Not a Cost Center
By GPU Resource Editorial Staff The Default Assumption Is Wrong Most finance teams classify data sanitization as a disposal cost — a line item to be minimized alongside shredding fees and logistics. That framing is operationally convenient and financially destructive. Provable, standard-aligned sanitization is the precondition for recovered capital, not an obstacle to it. The...
Read Article →The Other Certificate: GPU Performance Grading as ITAD Due Diligence
By GPU Resource Editorial Staff Certifying that a GPU’s data is gone is not the same as certifying that it still works — and the secondary market is now sophisticated enough to demand both certificates. GPU Resource, in partnership with Cirkadis | June 2026 | Part 4 Research conducted by GPU Resource in partnership with...
Read Article →The Other Certificate: GPU Performance Grading as ITAD Due Diligence
Certifying that a GPU’s data is gone is not the same as certifying that it still works — and the secondary market is now sophisticated enough to demand both certificates. GPU Resource, in partnership with Cirkadis | June 2026 | Part 4 Research conducted by GPU Resource in partnership with Cirkadis, a leading aftermarket processor...
Read Article →From H100 to B200: How the GPU Data-Security Gap Extends Across the NVIDIA Lineage
By GPU Resource Editorial Staff A follow-up to “Enterprise AI GPU Data Security at End-of-Life — Part 1: Hardware Architecture and Per-Layer Sanitization” — the same architectural constraints apply to H200, GH200, and the Blackwell generation, with rising value-at-risk per unit. GPU Resource, in partnership with Cirkadis | June 2026 | Part 3 Research conducted...
Read Article →Enterprise AI GPU Data Security at End-of-Life — Part 3: From H100 to B200 — How the Gap Extends Across the NVIDIA Lineage
A follow-up to “Enterprise AI GPU Data Security at End-of-Life — Part 1: Hardware Architecture and Per-Layer Sanitization” — the same architectural constraints apply to H200, GH200, and the Blackwell generation, with rising value-at-risk per unit. GPU Resource, in partnership with Cirkadis | June 2026 | Part 3 Research conducted by GPU Resource in partnership...
Read Article →Enterprise AI GPU Data Security at End-of-Life — Part 2: The ITAD Access Gap and Three Paths to Certified Remarketing
GPU data security at end-of-life is more complex than the industry acknowledges — and the gap between shredding and certified remarketing is where billions in value disappear GPU Resource, in partnership with Cirkadis | June 2026 | Part 2 When a hyperscaler or financial institution retires a cluster of NVIDIA H100s, the hardware doesn’t always...
Read Article →Enterprise AI GPU Data Security at End-of-Life — Part 1: Hardware Architecture and Per-Layer Sanitization
GPU data security at end-of-life is more complex than the industry acknowledges — and the gap between shredding and certified remarketing is where billions in value disappear
Read Article →Weekly Market Intel Digest: May 4, 2026 – Gigawatt Campuses, Grid Deadlocks, and Agentic Silicon
The primary constraint in the global AI hardware supercycle has undergone a fundamental shift. While 2024 and 2025 were defined by "GPU scarcity": a period where lead times for NVIDIA H100 and H200 silicon dictated project timelines: the market has now entered the era of "Infrastructure Scarcity." Capital is no longer the bottleneck; the availability...
Read Article →The GPU Backstory: How a Bedroom in Toronto Created the Modern Era of AI Compute
By Pete Paisley The most consequential hands-on AI engineering work of the modern era was done by a PhD student who hadn’t yet finished his doctorate, in his parents’ bedroom in the Toronto area, on two NVIDIA GTX 580s. Here, three fundamental elements of modern AI converged for the first time, and AlexNet created the...
Read Article →H100 Vs Blackwell: Why Your Secondary Market Strategy Needs to Pivot Now
As of April 25, 2026, the AI infrastructure landscape has moved past the initial scarcity phase into a complex, multi-generational hardware cycle. While the industry’s focus remains fixed on the ramp-up of the Blackwell architecture, specifically the B200, a significant shift is occurring in the secondary market for the Hopper (H100/H200) generation. For asset managers...
Read Article →Weekly Market Intel Digest: April 23, 2026 – CapEx Surges, Grid Constraints, and the Gigawatt Era
The landscape of AI infrastructure has transitioned from a race for raw silicon to a broader battle for power density and grid capacity. As we enter late April 2026, the industry is witnessing a decoupling of supply chain constraints; while GPU availability has stabilized relative to 2024 peaks, the "speed-to-power" metric has become the primary...
Read Article →Weekly Market Intel Digest: April 16, 2026 – Supply Chain Stabilization and Financing Shifts
The dust is starting to settle on some of the Blackwell production rumors, but as one bottleneck clears, the financial markets appear to be tightening their grip on legacy silicon. Here is the technical breakdown of what matters right now. Blackwell Yields Hit 90%: The Secondary Market Ripple Effect One of the most significant supply...
Read Article →Weekly Market Intel Digest: April 7, 2026 – The Shift to AI-Native Infrastructure
Category: Industry Analysis The first week of April 2026 has solidified a fundamental transition in the digital infrastructure supply chain. We are moving past the "experimental" phase of AI cluster deployment into a regime defined by institutional-grade asset management and rigorous hardware-layer economics. For businesses financing, using, and remarketing GPU-based systems, the primary directive is...
Read Article →The New Compute Supply Chain: What’s Really Driving the World’s Largest AI Data Centers
The AI hardware race is no longer just about who makes the fastest chip. It's about who controls the full stack — silicon, interconnect, cooling, and software — and what happens to that infrastructure when it gets retired.
Read Article →Inside an Amazon Data Center: The Architecture Powering the World’s Largest AI Clusters
Amazon Web Services has taken a different path to hyperscale AI than Google. Understanding the architectural differences matters both for enterprises evaluating AI infrastructure and for the aftermarket community that will eventually handle this hardware.
Read Article →Building for the Moment: Why Private AI Infrastructure Is Here to Stay
Building for the moment means realizing the ‘just use the cloud’ era has its limits. For the final part of our series, let’s talk about the hardware shifts making private AI a reality. We’re seeing a massive pivot toward modular, on-premise clusters. Systems like the next-gen Vera Rubin racks from NVIDIA aren’t just faster —...
Read Article →Weekly Market Intel Digest: March 31, 2026 – The Era of Agentic Infrastructure
Market Shift: From Blackwell to Vera Rubin March 31’s core market signal is that NVIDIA’s roadmap is moving the center of competition from accelerator selection to full-rack architecture. Blackwell already pushed the market toward integrated GPU, CPU, memory, networking, and thermal design decisions at the system level. Vera Rubin extends that shift further. The practical...
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