quote: Not to be out-traded: Hudson River Signs Multibillion-Dollar AI Deal With CoreWeave “Having access to more compute resources just allows our researchers to try more things and hopefully find more interesting results,” HRT head of R&D said in an interview https://x.com/matthew_sigel/status/2087600895206756763 | One of the most honest reads on enterprise AI returns⬇️ Jane Street just raised $14.6B in senior secured notes, the largest bond deal ever by a non-bank market maker. The 10-year tranche priced at 8.088%. Primarily a refi of a $5.5B floater and an $11B debt load, but tech infrastructure and trading expansion are stated uses. What makes this rare: Jane Street is one of the largest disclosed non-tech internal-GPU users, and one of the few with publicly priced debt against it: 4,032 liquid-cooled GPUs in Dallas, ~$6B committed to CoreWeave plus $1B of equity, early work on a self-financed 100-200MW build, targeting 10x into the hundreds of thousands. They sell no compute and no inference. The chips forecast asset prices. The output is directly monetized and the funding cost is observable. So, the bar is computable: At CRWV's 6-year depreciation life and 10% salvage, $100 of Jane Street capex must throw off $20.33 (20.3%) annually for six years plus $10 back at the end to set NPV at zero against 8%, 10-year money. Salvage assumptions barely move it. Every 10 points of recovery buys only ~136bp annually: 25% salvage requires an 18.3% cash yield, etc. So Jane Street is carrying 8% money against a ~20% break-even, even on modest salvage assumptions. Nobody with their track record takes that trade casually, a real signal about what monetized AI output can earn when someone can actually measure it. It's also a signal about what the bond market will underwrite: $14.6B, ten years out against a "six-year asset," no NVIDIA residual backstop, clearing on conservative salvage assumptions. Which leaves room for these rates to come down if and as the fundamentals materialize and for IG borrowers to try the same trade on even better terms.

quote: Not to be out-traded: Hudson River Signs Multibillion-Dollar AI Deal With CoreWeave “Having access to more compute resources just allows our researchers to try more things and hopefully find more interesting results,” HRT head of R&D said in an interview https://x.com/matthew_sigel/status/2087600895206756763 | One of the most honest reads on enterprise AI returns⬇️ Jane Street just raised $14.6B in senior secured notes, the largest bond deal ever by a non-bank market maker. The 10-year tranche priced at 8.088%. Primarily a refi of a $5.5B floater and an $11B debt load, but tech infrastructure and trading expansion are stated uses. What makes this rare: Jane Street is one of the largest disclosed non-tech internal-GPU users, and one of the few with publicly priced debt against it: 4,032 liquid-cooled GPUs in Dallas, ~$6B committed to CoreWeave plus $1B of equity, early work on a self-financed 100-200MW build, targeting 10x into the hundreds of thousands. They sell no compute and no inference. The chips forecast asset prices. The output is directly monetized and the funding cost is observable. So, the bar is computable: At CRWV's 6-year depreciation life and 10% salvage, $100 of Jane Street capex must throw off $20.33 (20.3%) annually for six years plus $10 back at the end to set NPV at zero against 8%, 10-year money. Salvage assumptions barely move it. Every 10 points of recovery buys only ~136bp annually: 25% salvage requires an 18.3% cash yield, etc. So Jane Street is carrying 8% money against a ~20% break-even, even on modest salvage assumptions. Nobody with their track record takes that trade casually, a real signal about what monetized AI output can earn when someone can actually measure it. It's also a signal about what the bond market will underwrite: $14.6B, ten years out against a "six-year asset," no NVIDIA residual backstop, clearing on conservative salvage assumptions. Which leaves room for these rates to come down if and as the fundamentals materialize and for IG borrowers to try the same trade on even better terms.

Source:https://x.com/matthew_sigel/status/2090564127353680245