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Improved utilization of the #screenshotone GPU server by using Vulkan API with NVIDIA GPUs. It has improved rendering performance by 1000% in some cases.
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research cpu gpu performance bottlenecks on xen passthru #optimizing
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make Nvidia stock proxy checker by testing how many GPUs available on Lambda #life nomadlist.com/lambda_gpu_avai…
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start first trainigng with Flux on GPU again now with bigger HDD #photoai
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Continue migration to AWS amplify, this time gen 2 #checkyourlist
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#thecompaniesapi moving our gpu server from wsl to raw ubuntu server because wsl is unstable for hosting :)
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Migrate #maibio to new, more performant Hetzner ARM cloud server
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Give dstack a try to compute AI workloads
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move services to new k8s cluster to take advantage of WIP AWS credits and improve the setup #sod
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get migrated by Linode to new hardware #nomads #remoteok
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After a lot of learnings... Rancher 2 k8s Cluster up and running #altafino
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setup new deployment strategy for making neural networks w/less gpu since video data processing tasks are mostly cpu intensive #mused
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migrate #crisp livetranslate to the mirage translation model, running on our own gpus
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Approved for new CPU quota by AWS. Time to scale #jsonify
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take down separate vm for data processing b/c needs cuda & azure doesn't let me use their credits to access nvidia gpus 👎 #mused
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Finally make breakthrough with CUDA optimizing work and bring generation time down from ~30 mins to ~1min
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