
IDC projects AI infrastructure spending will hit $487 billion in 2026, with annual spending on AI-optimized servers, storage, and networking expected to exceed $1 trillion by 2029.
As hyperscalers spend tens of billions on the newest compute generations, racks of perfectly serviceable equipment leave the same buildings by the truckload. Patrick Bliemer, global sales manager at RackRenew, joined me for a recent In the Arena episode to discuss how RackRenew gives used data center infrastructure a second life – fulfilling both a sustainability imperative and a business opportunity.
Patrick is a 30-year veteran of the high-tech industry, with most of his career in sales and management roles tied to the data center and PC markets. He took the role at RackRenew because of the unusual vantage point the company sits in. RackRenew is a subsidiary of Sims Lifecycle Services, the global specialist in decommissioning and reverse logistics for hyperscale customers, giving the team a front-row seat to the volume of equipment leaving hyperscale floors. Seeing the sheer volume of equipment leaving hyperscale floors led to the question of whether there was a better way to reuse the equipment being decommissioned and offer it to the broader market.
And while the secondary market is full of refurbished IT gear, according to Patrick no other company recommissions Open Compute Project (OCP) racks coming off the floors of the world’s largest cloud operators.
Patrick pointed to recent industry analysis suggesting that an additional two to five million tons of e-waste will hit the market by 2030 as the AI build-out accelerates. Contrary to the airy connotations of the word cloud, he noted, “over 70% of the cloud is made up by iron and plastic.” Manufacturing all of those servers, racks, and chassis takes water, electricity, and raw materials, generating a heavy embodied-carbon footprint long before any workload runs. When RackRenew remanufactures an OCP rack, that carbon has already been written off, so customers buy at either zero embedded carbon or, when new components are swapped in, very low embodied carbon. With public concern about data center power and water use rising, Patrick argued, proving the industry is responsibly adding capacity is no longer optional.
For an AI-era buyer, time is the more visceral selling point. While lead times for new systems can stretch between 6 and 12 months, RackRenew aims to deliver products within weeks rather than months.
It turns out that rejigging hardware was the easy part. Every OCP component carries a baseboard management controller (BMC) chip running OpenBMC, and hyperscalers heavily customize that firmware before equipment is decommissioned. To prevent reuse, Sims Lifecycle Services destroys these chips. “We grind up the BMC chips entirely,” Patrick said, “it goes to dust, literal dust.”
That leaves a remanufactured server with a clean chassis, validated components, and no nervous system. RackRenew rebuilt the management stack on an open foundation with AMI, which is developing a generic open-standards BMC for the RackRenew portfolio and can build bespoke feature sets on demand. Patrick credits the partnership with restoring secure boot and root of trust together with the original equipment manufacturers (OEMs), and with giving a roughly two-year-old company unexpected credibility among very large prospects.
Patrick is candid about the limits of the model. Some decommissioned gear is already past end-of-life at the CPU level, where firmware updates alone cannot fully restore the security posture. On integration, he said, “I don’t think honestly that a seamless integration exists.” His framing is workload fit. Agentic AI use cases need leading-edge silicon, but plenty of enterprise tasks, including virtual private servers, Kubernetes, and email servers, do not.
On the criticism that open ecosystems drive up total cost of ownership, Patrick is unmoved. “Over the long run, open standards will always drive faster innovation and will always lead to lower cost,” he said.
RackRenew already ships compute nodes, compute servers, and storage solutions, with AI GPU servers planned next. The volume poised to leave hyperscale floors over the next three to five years, Patrick believes, makes the case for itself. “It will be a crime to see that go to the waste pile,” he said.
RackRenew is built to address the additional two to five million tons of e-waste projected to hit the market by 2030. The company remanufactures decommissioned OCP equipment and returns it to market at near-zero embodied carbon, pairing that sustainable approach with a speed advantage that sidesteps the component shortages slowing traditional. Their partnership with AMI has helped in delivering an open-standards BMC that restores full manageability and re-establishes a root of trust to make the gear enterprise ready. As AI continues to drive unprecedented demand for compute, the infrastructure conversation has to include not just what gets deployed, but what it takes to give a longer life to what is already on the ground.
Watch the full episode on TechArena.