Gari Singh

Apr 27, 2026

• "You take 130,000 and you multiply that times 1k, 3K, whatever, you've now got this massive string of records that you have to store."

  cited in Developer · from KubeCon + CloudNativeCon NA 2025 | Jago Macleod & Gari Singh, Google & Kate Holerhoff, RedMonk

• "It's usually in the massive training jobs, massive AI jobs that need a lot of compute. There's typically a match of a node to a GPU. So you'll end up saying, 'I need 130,000 GPUs to train whatever these massive models.'"

  cited in Deep Tech · from KubeCon + CloudNativeCon NA 2025 | Jago Macleod & Gari Singh, Google & Kate Holerhoff, RedMonk

• "130,000. It's usually in the massive training jobs, massive AI jobs that need a lot of compute. We don't want to take two years to start them up."

  cited in C-Suite · from KubeCon + CloudNativeCon NA 2025 | Jago Macleod & Gari Singh, Google & Kate Holerhoff, RedMonk