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this is a post to answer the misconceptions / misunderstandings around @primisprotocol (long post ahead) tl;dr : primis matches ai teams with the best compute routes and uses capital to absorb price volatility, in exchange capital earns a share of the compute revenue for providing that stability. all these different points come from real conversations : “so this is just a gpu marketplace?” no. we don’t sell gpus. we optimize where workloads run and stabilize the pricing. providers stay the same, we sit at the pricing layer. “compared to the hardware market it doesn’t make sense” hardware is supply. primis is pricing + risk. we don’t compete with chips. we make compute exposure financeable, regardless of the chip. “apple silicon / google willow will make it outdated by september” we believe that faster chip cycles don’t remove risk, they increase it. if the cost curve can shift in 2 months, locking commitments becomes more dangerous. primis exists to make those shifts hedgeable instead of existential. “mac mini m4s destroy $6,400/mo cloud options” cool. cheaper compute is great. but primis doesn’t exist only because compute is expensive. it exists because compute is volatile + capacity is constrained + reliability matters under spikes. local boxes don’t solve priority, guarantees, and planning at scale. “you’re selling compute and process transactions using crypto” that’s the wrong mental model. primis isn’t “crypto compute transactions.” builders don’t use wallets, stake, or touch tokens. same providers. same workflows. primis sits between pricing and payment, not between builders and infrastructure. “ai has changed dramatically in 3 weeks. you can’t invest like you used to.” exactly. when the underlying tech changes fast, volatility goes up. and volatility destroys planning. primis is literally the bet that compute needs a pricing layer because ai is moving too fast for builders to carry the risk. “why can’t builders just hedge themselves?” hedging requires scale, capital, and financial infrastructure. most ai teams are product builders, not risk managers. primis externalizes that function. “so basically you’re doing cloud arbitrage” arbitrage is about price differences today. primis is about stabilizing price over time. different problem. “why are you doing agents as well, it seems like you’re trying to do too much at once” first-party apps show what’s possible on primis compute, drive distribution, and stress-test the system in production. every agent deployed consumes more compute as tasks scale. “won’t providers resist this?” providers still sell compute as usual. primis doesn’t interfere with supply, it optimizes routing and pricing across it.

everyone is racing to build better models. bigger. faster. smarter. but models sit on top of something fragile: massive, long-term compute commitments. @DarioAmodei explained it clearly: if you commit to buying $5t worth of compute because you project a $1t revenue run rate… and you land at $800b instead, you don’t “slow down.” you go bankrupt. that’s the asymmetry. compute is committed upfront. revenue is probabilistic. that gap is the real bottleneck. it’s not about GPUs. it’s about balance sheet exposure. this is the structural risk companies like @OpenAI @AnthropicAI and more are navigating. and this is exactly the layer @primisprotocol is abstracting. separating compute consumption from price and capital risk. so builders scale on demand curves, not on debt curves. models innovate. capital underwrites volatility. infrastructure becomes predictable. that’s the trillion-dollar abstraction layer.