AI datacenters lose billions of dollars every year to failing GPUs. We’ve seen it all: - “Identical” nodes with a 30% performance gap - Degraded GPUs that were overheating for years - Improper CUDA drivers causing kernel hangs - An entire workload bottlenecked by one faulty GPU

@gensynai Stop gambling on your GPUs. Stop lighting credits on fire. Just https://t.co/sGXS43mS7t.

We’ve already audited >10k GPUs for datacenters + AI labs. Now, @gensynai is bringing GPU reliability tests to their entire community. 🌍 They’ve seen thousands of unreliable nodes firsthand through RL-Swarms — and now users can test GPUs for performance issues before starting

One command to audit your GPU’s health before you waste time & money. All while contributing to the world's largest database of GPU health and performance. We’ve built the world's first standardized testing suite, covering: - System health → hardware authenticity, driver

QM, World!