K KLASS

Internal Dashboard

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AWS
GPU Cloud
Research
Account —
Profile —
—

Cost Tracker

Cost-inducing assets across the AWS account

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Month-to-date spend
 
Forecast this month
Cost Explorer projection
Billable resources
 
Monthly run rate
Estimated from the inventory

Spend by Service

Daily Spend

This month

Resources 0

Details Note

LLM API Providers 0

ProviderStatusModelsSpend
Instances
 
Internet-exposed
Public IP and inbound from anywhere
Regions scanned
Instances found account-wide

Instance Network Flow 0

Live Instances 0

InstanceRegionTypePrivate IPSSMActions
Hourly burn
—
Running instances
Monthly estimate
—
At the current rate, 730 hours
Active instances
—
Filesystems
—
Persistent storage

SSH Key

The dashboard's key is registered with Lambda and attached to every instance launched here, so they're reachable with ssh ubuntu@<ip>.

Instances 0

NameGPU / TypeRegionStatusAccessPer HourActions

Storage 0

NameRegionUsedIn UseActions

Available GPU Types

With capacity now
TypePer HourRegions
Hourly burn
—
Running pods
Monthly estimate
—
At the current rate, 730 hours
Running pods
—
Network volumes
—
Persistent storage

Pods 0

NameGPUStatusAccessPer HourActions

Network Volumes 0

S3-accessible
NameData CenterSize

Available GPUs

Cheapest first
GPUVRAMPer Hour
Objects
—
Total size
—
Weights and results
Storage cost
—
Per month, S3 Standard
Egress rate
—
Per GB out; ingress is free

Receive Weights from Hugging Face

Estimate first, then stream to S3

Stored Objects 0

ObjectKindSizeModifiedActions
Estimates are approximate on-demand prices (Seoul region) for orientation only. Authoritative spend comes from AWS Cost Explorer. Data is read live from the AWS account.

Launch Lambda GPU Instance

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Launch EC2 Instance

New Lambda Filesystem

Persistent storage is billed per GB stored, per month.

Deploy RunPod Pod

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