OpenAI targets enterprise with guaranteed compute OpenAI on Tuesday launched Guaranteed Capacity, a new offering that provides enterprise customers with long-term, guaranteed access to its compute resources for one- to three-year commitments. The program aims to give businesses certainty for critical AI workflows and product scaling, with discounts based on commitment duration. CEO Sam Altman stated the offering will be available until allocated compute is sold out, signaling OpenAI's push to secure enterprise trust amid industry-wide compute shortages. OpenAI wants to cut itself a bigger slice of AI’s so-called five-layer cake https://www.thedeepview.com/articles/why-ai-may-be-more-like-electricity-than-software . On Tuesday, the company unveiled OpenAI Guaranteed Capacity https://openai.com/business/guaranteed-capacity/ , an offering that guarantees customers “long-term access” to its compute. Customers can choose commitments of 1 to 3 years, with discounts based on the duration. Guaranteed Capacity offers certainty of access to compute-based “spend levels,” OpenAI said in its announcement. Customers can also spend from this commitment across OpenAI’s products. This can also be used across some supported cloud providers and model plans. The goal of Guaranteed Compute is to allow businesses to run critical workflows without concerns about uptime or predictability, and to offer the compute companies need to expand their products or adoption plans. CEO Sam Altman said in a post on X that this will be available until OpenAI sells out of its allocated compute for this program, leaving enough capacity remaining for ChatGPT, Codex and its other products. Altman also noted that OpenAI intends to offer this again in the future, aiming to build “as much compute as fast as we can.” “Customers are increasingly asking us for certainty on capacity,” Altman said on X. “As models get better, we expect that the world will be capacity-constrained for some time.” It isn’t the first sign that OpenAI wants to be known for more than its models. Guaranteed Capacity follows the company's unveiling of Multipath Reliable Connection https://www.thedeepview.com/articles/exclusive-openai-unveils-protocol-to-stretch-compute , or MRC, a networking protocol designed to make GPU clusters faster and more efficient by mitigating network congestion and failures. Taken together, OpenAI may be trying to become a foundational part of the AI compute stack at a time when the shortage of compute is holding back practically every lab in the industry. Our Deeper View OpenAI isn’t just trying to dominate a larger piece of the industry with this new offering. Instead, it may be trying to prove itself. While consumers, startups and small- to medium-sized enterprises rely on OpenAI’s products, large, regulated industries face a far higher barrier to entry. With Guaranteed Compute, OpenAI is offering customers more peace of mind that they will have the uptime, capacity and performance they need to embed AI into mission-critical infrastructure and regulated environments. It’s the same reason the company partnered with 1Password https://www.forbes.com/sites/timkeary/2026/05/19/openai-and-1password-bring-password-security-to-codex/ for secure authentication of Codex, and is feeding the open models ecosystem, as The Deep View’s Jason Hiner pointed out https://www.thedeepview.com/articles/why-openai-quietly-embraced-open-models : To give customers access to powerful models that fit within their regulatory and security requirements. In short, with a wealth of opportunities for major contracts and important work, OpenAI wants to be trusted by the big kids.