Google Cloud vs SKT (Haein Cluster)
Compare GPU and LLM inference API pricing between Google Cloud and SKT (Haein Cluster). Find the best rates for AI training, inference, and ML workloads.
Google Cloud
Provider 1
SKT (Haein Cluster)
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | Google Cloud Price | SKT (Haein Cluster) Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
Tesla T4 16GB VRAM • Google Cloud | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
Tesla T4 16GB VRAM • Google Cloud | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
Features Comparison
Google Cloud
- Compute Engine
Scalable virtual machines with a wide range of machine types, including GPUs.
- Google Kubernetes Engine (GKE)
Managed Kubernetes service for deploying and managing containerized applications.
- Cloud Functions
Event-driven serverless compute platform.
- Cloud Run
Fully managed serverless platform for containerized applications.
- Vertex AI
Unified ML platform for building, deploying, and managing ML models.
- Preemptible VMs
Short-lived compute instances at a significant discount, suitable for fault-tolerant workloads.
SKT (Haein Cluster)
- Large-Scale B200 Cluster
Over 1,000 NVIDIA Blackwell B200 GPUs grouped into a single logical cluster for large-scale AI training
- Petasus Virtualization
Proprietary virtualization layer enabling flexible partitioning and reconfiguration of GPU resources
- Near-Bare-Metal Performance
Virtualized NVLink and InfiniBand support providing near-physical interconnect speeds within isolated tenants
- AI Cloud Manager
Intelligent scheduling and multi-tenancy management for large training workloads
- Sovereign AI Infrastructure
Located in South Korea (Gasan AIDC), providing data sovereignty and enterprise-grade compliance
- Rapid Provisioning
Fully isolated, dedicated training environments provisioned in under an hour
Pros & Cons
Google Cloud
Advantages
- Flexible pricing options, including sustained use discounts
- Strong AI and machine learning tools (Vertex AI)
- Good integration with other Google services
- Cutting-edge Kubernetes implementation (GKE)
Considerations
- Limited availability in some regions compared to AWS
- Complexity in managing resources
- Support can be costly
SKT (Haein Cluster)
Advantages
- Access to latest Blackwell B200 architecture in a large-scale cluster configuration
- 24/7 operations in partnership with Penguin Solutions
- Fine-grained GPU partitioning supports workloads from mid-sized models to large LLM training
- Near-bare-metal interconnect performance through virtualized NVLink and InfiniBand
Considerations
- Optimized for enterprise-level and large parameter training rather than small individual instances
- Primarily operated from Seoul (Gasan) AIDC with limited global multi-region options
- Contact-based pricing — no self-service or published rates
Compute Services
Google Cloud
Compute Engine
Offers customizable virtual machines running in Google's data centers.
Google Kubernetes Engine (GKE)
Managed Kubernetes service for running containerized applications.
- Automated Kubernetes operations
- Integration with Google Cloud services
Cloud Functions
Serverless compute platform for running code in response to events.
- Automatic scaling and high availability
- Pay only for the compute time consumed
SKT (Haein Cluster)
GPUaaS
Virtualized, high-performance B200 dedicated GPU resources
Dedicated Clusters
Isolated, bare-metal-grade performance clusters for enterprise clients
Pricing Options
Google Cloud
On-Demand
Pay for compute capacity per hour or per second, with no long-term commitments.
Sustained Use Discounts
Automatic discounts for running instances for a significant portion of the month.
Committed Use Discounts
Save up to 57% with a 1-year or 3-year commitment to a minimum level of resource usage.
Preemptible VMs
Save up to 80% for fault-tolerant workloads that can be interrupted.
SKT (Haein Cluster)
Reserved Commitments
1-year or long-term dedicated resource reservations for enterprise use
Subscription-Based
Pricing based on scale of reserved resources and duration of use
Getting Started
Google Cloud
- 1
Create a Google Cloud project
Set up a project in the Google Cloud Console.
- 2
Enable billing
Set up a billing account to pay for resource usage.
- 3
Choose a compute service
Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.
- 4
Create and configure an instance
Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.
- 5
Manage resources
Use the Cloud Console, command-line tools, or APIs to manage your resources.
SKT (Haein Cluster)
- 1
Consultation & Sizing
Contact the SKT GPUaaS team to determine required B200 GPU count and commitment duration
- 2
Tenant Provisioning
Deploy an isolated GPU and networking environment in under an hour via Petasus virtualization
- 3
Environment Setup
Configure containers and library environments using the AI Cloud Manager
- 4
Launch Training
Schedule and execute large-scale model training jobs using the intelligent job scheduler
Support & Global Availability
Google Cloud
Global Regions
40+ regions and 120+ zones worldwide.
Support
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.
SKT (Haein Cluster)
Global Regions
South Korea (Seoul/Gasan AI Data Center)
Support
24/7 dedicated enterprise technical support in collaboration with Penguin Solutions
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