AIchor allows LLM fine tuning and model training at scale while abstracting all the infrastructure and automating what is not AI related. AIchor platform is working either on-premise or in the cloud.
AIchor allows LLM fine tuning and model training at scale while abstracting all the infrastructure and automating what is not AI related. AIchor platform is working either on-premise or in the cloud.
Highlights
- ML Workload orchestration
- Efficient cost management
- Seamless integration with AWS managed services
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
You pay only for the compute resources your workloads consume. Billing splits into three independent usage meters: CPU Hours, GPU Hours, and Memory Hours. CPU Hours track processor time on compute instances. GPU Hours track graphics-processor time. Memory Hours track gigabytes of memory used per hour. Each meter accrues separately based on actual consumption, so your total cost reflects the mix of processing and memory your jobs require. Costs rise or fall with usage, giving you no fixed commitment. This structure suits variable workloads that scale up or down over time.
Top-of-mind questions for buyers
What counts as one CPU Hour, GPU Hour, or Memory Hour for billing?
One CPU Hour is one hour of processor time on a compute instance. One GPU Hour is one hour of graphics-processor time. One Memory Hour is one gigabyte of memory held for one hour. Workers provision automatically based on your job's requirements, and each meter counts actual consumption.
Am I charged when a job is finished or an instance is idle?
Charges accrue only while compute instances consume resources. The platform provisions workers automatically for a job and engages hardware only when called. When a job completes and resources release, those meters stop accruing. You pay for actual consumption, not for idle capacity.
Which meter drives most of my bill — CPU, GPU, or Memory Hours?
All three meters bill independently and appear together on your invoice. GPU Hours often dominate for model training and fine-tuning workloads that run on graphics processors. CPU and Memory Hours drive cost for processor-heavy or memory-heavy jobs. Your total reflects the mix each job requires.
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For questions and support contact customer support at info@aichor.ai
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