❌ MYTH: More GPUs always mean better AI. Adding accelerators can increase capacity. But it also increases: ➡️ Power consumption ➡️ Memory traffic ➡️ Networking complexity ➡️ Infrastructure costs Beyond a certain point, scale alone cannot compensate for architectural inefficiency. The real question is not how many chips are deployed. It is how much useful inference each chip, and each rack, can deliver. Jotunn8 was designed around workload efficiency, with deterministic latency, high memory capacity and an architecture that scales from a single accelerator to rack-level deployments. 💡 REALITY: Better architecture can create more value than simply adding more hardware. #AIMythBuster #AIInfrastructure #AIInference #Semiconductors #VSORA