
The RWA you've been waiting for. Tokenized GPUs and their cashflows are coming to @arbitrum. Pre-deposit for Cluster 01 is live.
McDavid
2.4K posts

@RobMcStodda
head of growth @silicondotnet long live dubstep

The RWA you've been waiting for. Tokenized GPUs and their cashflows are coming to @arbitrum. Pre-deposit for Cluster 01 is live.






x402 transactions volume btw 🫠🫠

base team severely lacks agency so many great projects with huge potential launched with weak support from base/coinbase and i’m not talking about capital support there are plenty of ways to support their eco projects that they’re not doing



BREAKING NEWS: Donald "Art of the Deal" Trump settled the Ticketmaster-Live Nation antitrust case. If you love going to concerts, Trump's deal means you'll keep paying a "Ticketmaster Tax." And artists will keep getting bullied. It's time to break up Ticketmaster-Live Nation.



A new $9.8M loan was originated through USDAI. - Collateral: 10 H200s, 38 B200s - Term: 36 Months - Rate: 11.5% APR Today marks the first time a borrower has held their debt service reserve natively in USDai, fully onchain.



You’re not gonna believe this latest story. Over the past few years mossad undercover agents infiltrated as doctors and dentists in Iran. The Dentists gave priority to. Key military, and elite Iranian personnel. While doing a routine dental check up, they implanted tracking devices as fillings for cavities. On the other side, Gastro doctors implanted similar devices in their elite patients. Yesterday mossad knew exactly where each one of them were ( komayne’s wife and family members included )and sent missiles at them. Over 400 elite military in government personnel were eliminated in the first few moments ( maybe that’s one of the reasons why they knew where he was hiding )when Israel attacked.



It feels ironic that stacking mac studios is the cheapest way to run frontier AI today. But it actually makes sense. Nothing else beats the memory unit economics of Apple Silicon. Memory and memory bandwidth (not FLOPS) is what matters for local inference. Everything runs at batch_size=1. @karpathy talked about this at his AI SUS keynote: personal computing v2 is coming. Just look at the numbers: M3 Ultra: $18/GB, $6.70/GB/s DGX Spark: $36/GB, $17/GB/s B200 (DGX): $360/GB, $8/GB/s Memory for B200 is 20x more expensive. Memory bandwidth for DGX Spark is 2.5x more expensive. If DeepSeek V4 is >1T parameters (as it’s rumoured to be), by far the cheapest way to run it will be Apple Silicon. M5 Ultra will likely push this further. NVIDIA has completely missed this segment of the market.
