### **B. GDPR (EU)**
– Must obtain **explicit opt-in**
– Right to erasure (delete data upon request)
**C. Best Practices for Legal Use**
✔ Use **opt-in databases** for marketing
✔ Provide **opt-out options** (STOP, Unsubscribe)
✔ Regularly **scrub against Do-Not-Call (DNC) lists**
—
– **AI-driven number validation** (predict inactive numbers)
– **Blockchain-based consent management**
– **Integration with WhatsApp Business API**
In the field of AI there is a real scramble for huge systems. According to Elon Musk, the Colossus supercomputer of xAI, consisting of 100.000 Nvidia H100 (Hopper) accelerators would have a theoretical peak performance of 3.4 exaFlop/s. This is higher than that of El Capitan, which has a theoretical peak performance of 2.7 exaFlop/s. When used for training AI-models, Colossus will use smaller number representations (typically FP8 or INT8) for which it is expected to have a peak performance of even 396 exaFlop/s. xAI plans to kazakhstan phone number list double the number of processors.
Similarly, OpenAI and Microsoft are developing their Stargate system, which is projected to eventually email leads a count of 2 M GPU’s/XPU, which in terms of pure numbers is even ten times as much as what xAI is building.
Note though that the performance of these systems cannot really be compared with those on be numbers Top 500 list of supercomputers. They are tailored to training AI-systems and their performance for more general applications is essentially unknown. That is also the reason why they are not on the list.
But quality and legality are key. Always choose reputable providers, stay compliant with regulations, and focus on delivering value to your audience.
Would you like a list of trusted providers or tips for building your own phone number database legally? I can help with that too!
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