Row 70404

Row ID: 70404 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 70404 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

For most of our use cases deployment issues like setting up Kubernetes is a bit of a problem. But the biggest issue is just the cost of cloud services, often we're running heavy non scalable jobs that need a set number of GPU instances for a long time. Most of our cost calculations basically show it's cheaper to just outright buy the compute and rack it in our own on-prem racks. So we normally just get our own compute and set them up with openstack, etc. For example one use case we might need 8 p3.8xlarge instances for 3 months straight. Another use case we need twice that for an entire year. The cost of servers is cheaper than that.

FieldValue
text For most of our use cases deployment issues like setting up Kubernetes is a bit of a problem. But the biggest issue is just the cost of cloud services, often we're running heavy non scalable jobs that need a set number of GPU instances for a long time. Most of our cost calculations basically show it's cheaper to just outright buy the compute and rack it in our own on-prem racks. So we normally just get our own compute and set them up with openstack, etc. For example one use case we might need 8 …
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-23
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Raw Record

{
  "text": "For most of our use cases deployment issues like setting up Kubernetes is a bit of a problem. But the biggest issue is just the cost of cloud services, often we're running heavy non scalable jobs that need a set number of GPU instances for a long time. Most of our cost calculations basically show it's cheaper to just outright buy the compute and rack it in our own on-prem racks. So we normally just get our own compute and set them up with openstack, etc. For example one use case we might need 8 p3.8xlarge instances for 3 months straight. Another use case we need twice that for an entire year. The cost of servers is cheaper than that.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-23",
  "username_encoded": "Z0FBQUFBQm5Lak1mMVNBdTJIV0dRQkVsMktFcVR1NVJGWkl6RDVITkFUb0hyV0xaN3FfcTMxVGw5aTJEUWhCM0RRMFhOQm9kVTh5aUF2NnpvRFctUGxzc3g4UDgxaVB1Vnc9PQ==",
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}
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