Nawaf Alageel
@nawafalageel.bsky.social
Trying to teach computers how to see through math.
If you're training ML models with Docker containers and Nvidia GPUs, especially on-prem, you've likely seen wasted compute.
GPUs sit idle while its occupies memory (aka. VRAM), but without observation tools, that leads to poor utilization and waised compute.
#Nvidia #GPU #Docker #MachineLearning
GPUs sit idle while its occupies memory (aka. VRAM), but without observation tools, that leads to poor utilization and waised compute.
#Nvidia #GPU #Docker #MachineLearning
July 15, 2025 at 11:39 AM
If you're training ML models with Docker containers and Nvidia GPUs, especially on-prem, you've likely seen wasted compute.
GPUs sit idle while its occupies memory (aka. VRAM), but without observation tools, that leads to poor utilization and waised compute.
#Nvidia #GPU #Docker #MachineLearning
GPUs sit idle while its occupies memory (aka. VRAM), but without observation tools, that leads to poor utilization and waised compute.
#Nvidia #GPU #Docker #MachineLearning
Reposted by Nawaf Alageel
Next a Lightning talk from Nawaf Alageel!
Wasted Compute: Why GPU Utilization Is Slipping Through the Cracks
Docker and Nvidia’s tools don’t work well together, but this solution lets you know which container needs which GPU, massively increasing observability for his team.
Wasted Compute: Why GPU Utilization Is Slipping Through the Cracks
Docker and Nvidia’s tools don’t work well together, but this solution lets you know which container needs which GPU, massively increasing observability for his team.
July 1, 2025 at 7:29 PM
Next a Lightning talk from Nawaf Alageel!
Wasted Compute: Why GPU Utilization Is Slipping Through the Cracks
Docker and Nvidia’s tools don’t work well together, but this solution lets you know which container needs which GPU, massively increasing observability for his team.
Wasted Compute: Why GPU Utilization Is Slipping Through the Cracks
Docker and Nvidia’s tools don’t work well together, but this solution lets you know which container needs which GPU, massively increasing observability for his team.