Company: BSAI
Filing Date: 2025-04-01
Form Type: 10-K
Source: 0001096906-25-000357
Chunk: 6

Company: BLUSKY AI INC.
Filing Date: 2025-04-01
Form: 10-K
Item: Item 1
Chunk 6
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:

Resource allocation charges are determined by the number of cores, GPUs, or accelerators allocated, as well as their respective performance levels. High-performance GPUs incur higher costs compared to entry-level models due to their enhanced capabilities.

- Memory Usage:

Memory usage charges may be based on the amount of RAM used per hour or the specific memory tier utilized for training or inference workloads.

- Storage Costs:

Storage costs include charges for high-speed storage used during compute processes, such as NVMe SSDs, as well as fees for long-term data storage.

Type of Workload:

The type of workload affects pricing, with training and inference being the primary factors. Training large models, such as deep learning networks, requires significantly more resources and is priced higher. In contrast, inference, which involves deploying models for predictions, is less resource-intensive and generally incurs lower costs.

Reserved vs. On-Demand Pricing

With On-Demand pricing, customers pay a premium for immediate access to resources without any long-term commitment. In contrast, Reserved or Subscription pricing provides discounts for reserving resources for a longer period or for bulk usage.

Pricing tiers for specific hardware configurations:

The Standard tier offers low-cost, general-purpose resources suitable for small-scale tasks. The High-Performance tier, on the other hand, comes with premium pricing for advanced GPUs or clusters, designed to handle complex AI workloads.

Location and Energy Costs:

Location and energy costs play a significant role in pricing. Regions with lower energy costs or tax incentives for renewable energy typically offer lower pricing. However, carbon-neutral or sustainable data centers may charge a premium for green computing initiatives.

Additional Costs

Additional costs may include networking fees for data transfer in and out of the data center or between regions, as well as charges for software licenses related to proprietary AI frameworks, tools, or libraries. Additionally, support services such as technical assistance, managed services, or custom optimization may incur extra fees.

 7Table of Contents

- Colocation Data Centers:

Colocation data centers typically charge flat fees for rack space, power, and cooling, with additional charges applied for compute usage.

 Emerging Trends

Emerging trends in data center pricing and operations include several innovative approaches. Pay-As-You-Go pricing is ideal for startups or workloads with unpredictable demands, allowing customers to pay only for the resources they use. Spot Pricing offers discounts for utilizing idle resources during non-peak times, which can help reduce costs. Custom AI Accelerators, like Google's TPU, are increasingly being used in data centers, offering