Compute
NeoCloud provides cutting-edge Compute solutions tailored to support businesses with diverse processing needs. Whether you're running everyday applications, hosting websites, or leveraging high-performance computing (HPC), we offer scalable, secure, and cost-effective compute resources to accelerate your business operations. Our platform provides a range of options for CPU Compute (Virtual) and GPU Compute (Virtual + Dedicated) to cater to both traditional workloads and advanced, compute-intensive applications.
Features
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Preset and custom configurations Choose from a range of optimized compute templates or fully customize your own virtual CPU and GPU instances to fit your exact workload requirements. Whether you're deploying quickly or fine-tuning for performance, our platform adapts to your needs.
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Industry-leading reliability Built on the latest Kubernetes technology and redundant infrastructure, our platform offers consistent high availability and fault tolerance. Your compute workloads stay online and resilient, even during peak demand or infrastructure updates.
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Automations and resource efficiency Automated scaling, scheduling, and rightsizing ensure that you only use what you need, when you need it. Our smart orchestration helps maximize resource utilization and minimize idle compute — saving both time and cost.
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Transparent pricing No hidden fees, no surprise bills. Our pricing model is simple, predictable, and fully aligned with your actual resource usage. Gain full visibility and control over your compute spend.
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Enterprise security, controls and configurations Secure by design, our platform includes built-in encryption, access policies, and customizable compliance configurations. Role-based access, audit trails, and private networking options give you full control over your compute environment.
CPU Compute (Virtual)
Our CPU Compute (Virtual) solution delivers flexible and scalable virtual machines (VMs) for general-purpose computing tasks. Whether you're running web servers, databases, or business applications, these virtual instances are optimized for reliability and performance. With the ability to scale up or down as needed, you can easily adjust your compute capacity to match fluctuating demand.
Benefits:
- Cost-effective: Pay only for the compute resources you use, without any long-term commitments.
- Scalability: Quickly scale up or down based on workload demands.
- Performance: Reliable virtual machines with optimized CPU resources for a wide range of applications.
- Flexibility: Choose from various configurations (vCPU, RAM, storage) to suit your specific needs.
- Security: Built-in security features such as data encryption, network isolation, and advanced firewall protection.
Available CPU Machines
| Configuration | Number of CPU Cores | Memory |
|---|---|---|
| CPU Machine | 1 core | Memory: 4 GB |
| CPU Machine | 2 cores | Memory: 8 GB |
| CPU Machine | 4 cores | Memory: 16 GB |
| CPU Machine | 8 cores | Memory: 32 GB |
| CPU Machine | 16 cores | Memory: 64 GB |
| CPU Machine | 32 cores | Memory: 128 GB |
| CPU Machine | 64 cores | Memory: 256 GB |
GPU Compute (Virtual + Dedicated)
For workloads requiring higher processing power, NeoCloud offers GPU Compute solutions that include both Virtualand Dedicated GPU instances. These powerful instances are perfect for AI/ML workloads, deep learning, data science, rendering, simulations, and other compute-heavy applications that benefit from massive parallel processing.
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Virtual GPU Compute: Cost-efficient, scalable GPU resources suitable for tasks that require a moderate level of GPU power.
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Dedicated GPU Compute: For workloads demanding consistent, high-performance GPU usage, dedicated instances provide exclusive access to GPU resources, ensuring maximum performance and reliability.
Benefits:
- High Performance: Leverage GPUs from industry-leading providers (NVIDIA, AMD) for demanding computational tasks.
- Parallel Processing: Accelerate machine learning, AI, data analytics, and 3D rendering with parallel computing power.
- Flexible Options: Choose between Virtual GPU for scalability or Dedicated GPU for predictable performance and exclusive resources.
- Cost-effective: Pay only for the GPU resources you use, with the option to scale based on your workload.
- Powerful Tools: Pre-configured instances with support for popular frameworks such as TensorFlow, PyTorch, CUDA, and more.
Available GPU Machines
| Configuration | Number of CPU Cores | Memory | GPU Type |
|---|---|---|---|
| GPU Machine | 32 cores | Memory: 128 GB | L4-24GB |
| GPU Machine | 32 cores | Memory: 128 GB | L40s-48GB |
| GPU Machine | 64 cores | Memory: 256 GB | H200-140GB |
| GPU Machine | 64 cores | Memory: 256 GB | B200-180GB |
Available GPU Clusters
| Configuration | Number of CPU Cores | Memory | GPU's |
|---|---|---|---|
| RTX Machine | 112 CPU | 1.536 GB Ram | GPU: 8x L4 - 24 GB PCIe |
| OVX Machine | 112 CPU | 1.536 GB Ram | GPU: 8x L40S - 48 GB PCIe |
| DGX Machine | 112 CPU | 2.048 GB Ram | GPU: 8x H100 - 80 GB SXM |
| HGX Machine | 112 CPU | 2.048 GB Ram | GPU: 8x H200 - 141 GB SXM |
| HGX Machine | 256 CPU | 3.072 GB Ram | GPU: 8x B200 - 180 GB SXM |
Managed Kubernetes Clusters
At the core of our managed service is Kubernetes, a powerful container orchestration platform that automates deployment, scaling, and management of containerized applications. Kubernetes simplifies the complexity of managing distributed systems, ensuring that your workloads run smoothly, no matter how large or complex.
Benefits
- Automated Scaling: Automatically scale your applications based on demand, optimizing resource usage while maintaining high availability.
- Self-Healing: Kubernetes automatically detects and replaces unhealthy containers, ensuring minimal downtime and maintaining system integrity.
- Service Discovery & Load Balancing: Automatically manage the discovery and load balancing of services, ensuring traffic is distributed efficiently and reliably.
- Declarative Management: Define the desired state of your application infrastructure, and Kubernetes ensures it is maintained, simplifying operations.
- High Availability: Maintain uptime through Kubernetes’ built-in redundancy and failover capabilities, distributed across multiple availability zones.
- Centralized Management: Manage and monitor all your Kubernetes clusters from a unified dashboard, reducing complexity and streamlining administration.
- Proactive Maintenance: NeoCloud ensures that clusters are regularly updated, with security patches and optimizations applied automatically.
Containers
Available Virtual Containers
Containerized workloads running inside virtual machines.
| vContainers | Number of CPU Cores | RAM |
|---|---|---|
| vContainer | 1 CPU | 4 GB Ram |
| vContainer | 2 CPU | 8 GB Ram |
| vContainer | 4 CPU | 16 GB Ram |
| vContainer | 8 CPU | 32 GB Ram |
| vContainer | 16 CPU | 64 GB Ram |
| vContainer | 32 CPU | 128 GB Ram |
| vContainer | 64 CPU | 256 GB Ram |
Available gContainers
Containerized workloads running inside vurtal machines on GPU's.
| gContainers | GPU | Number of CPU Cores | RAM |
|---|---|---|---|
| gContainer | L4_24GB_PCIe | 32 CPU | 128 GB RAM |
| gContainer | L40S_48GB_PCIe | 32 CPU | 128 GB RAM |
| gContainer | H100_80GB_SXM | 64 CPU | 256 GB RAM -- DGX |
| gContainer | H200_141GB_SXM | 64 CPU | 256 GB RAM |
| gContainer | B200_180GB_SXM | 64 CPU | 256 GB RAM |