1 min readfrom Machine Learning

Understanding GPU Inference Workloads [D]

Hey everyone,

I have been looking into how people source compute for their Inference workloads (and in general). I wanted to understand some specific pain points here.

If you've used online services like runpod or vast.ai, your perspective is extremely valuable. Please share your experience in the comments here or by DMing me. I've also made a 2 minute survey form that I would really appreciate if you could fill out. DM me for the link.

Thank you!

submitted by /u/chinmaydagod
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Tagged with

#GPU Inference
#Inference Workloads
#Compute
#Runpod
#Vast.ai
#Machine Learning
#Cloud Computing
#Workloads
#Online Services
#GPU
#Sourcing Compute
#Pain Points
#Survey
#Performance
#Cost
#Scalability
#Deployment
#Infrastructure
#Edge Computing