🚨 $AI INFERENCE SHIFT: €200M BET AGAINST GPU MONOPOLY ⚡
Euclyd’s €200M Series A, co-led by Samsung, EQT, and Somerset, is a structural vote for AI inference as the next bottleneck. 📊 Its 16,384 in-memory processors and 2028 exaflop roadmap attack the power-efficiency layer where GPUs may be vulnerable.
⚡ The catch: the claimed 100x Nvidia efficiency remains a projection, not commercial proof. That gap between ambition and verification is exactly where smart money watches for catalysts. 💬 Is this the start of a new AI hardware cycle, or still an unproven narrative? 👇
⚠️ Not financial advice. Always manage your risk. 🛡️
🏷️ #AI #Euclyd #Inference #Hardware #Crypto
🦈 💡
Euclyd’s €200M Series A, co-led by Samsung, EQT, and Somerset, is a structural vote for AI inference as the next bottleneck. 📊 Its 16,384 in-memory processors and 2028 exaflop roadmap attack the power-efficiency layer where GPUs may be vulnerable.
⚡ The catch: the claimed 100x Nvidia efficiency remains a projection, not commercial proof. That gap between ambition and verification is exactly where smart money watches for catalysts. 💬 Is this the start of a new AI hardware cycle, or still an unproven narrative? 👇
⚠️ Not financial advice. Always manage your risk. 🛡️
🏷️ #AI #Euclyd #Inference #Hardware #Crypto
🦈 💡