Deployment Options
Bytecompute AI offers a flexible and powerful platform that enables organizations to deploy in a way that best suits their needs. Whether you're looking for a fully-managed cloud solution, or secure VPC deployment on any cloud, Bytecompute AI provides robust tools, superior performance, and comprehensive support.
Deployment Options Overview
Bytecompute AI provides two key deployment options:
- Bytecompute AI Cloud: A fully-managed, inference platform that is fast, scalable, and cost-efficient.
- VPC Deployment: Deploy Bytecompute AI's Enterprise Platform within your own Virtual Private Cloud (VPC) on any cloud platform for enhanced security and control.
The following sections provide an overview of each deployment type, along with a detailed responsibility matrix comparing the features and benefits of each option.
Bytecompute AI Cloud
Bytecompute AI Cloud is a fully-managed service that runs in Bytecompute AI's cloud infrastructure. With seamless access to Bytecompute's products, this option is ideal for companies that want to get started quickly without the overhead of managing their own infrastructure.
Key Features
- Fully Managed: Bytecompute AI handles infrastructure, scaling, and orchestration.
- Fast and Scalable: Both Dedicated and Serverless API endpoints ensure optimal performance and scalability.
- Cost-Effective: Pay-as-you-go pricing with the option for reserved endpoints at a discount.
- Privacy & Security: Full control over your data; Bytecompute AI ensures SOC 2 and HIPAA compliance.
- Ideal Use Case: Best suited for AI-native startups and companies that need fast, easy deployment without infrastructure management.
For more information on Bytecompute AI Cloud, contact our team.
Bytecompute AI VPC Deployment
Bytecompute AI VPC Deployment allows you to deploy the platform in your own Virtual Private Cloud (VPC) on any cloud provider (such as Google Cloud, Azure, AWS, or others). This option is ideal for enterprises that need enhanced security, control, and compliance while benefiting from Bytecompute AI's powerful AI stack.
Key Features
- Cloud-Agnostic: Deploy within your VPC on any cloud platform of your choice (e.g., AWS, Azure, Google Cloud).
- Full Control: Complete administrative access, enabling you to manage and control ingress and egress traffic within your VPC.
- High Performance: Achieve up to 2x faster performance on your existing infrastructure, optimized for your environment.
- Data Sovereignty: Data never leaves your controlled environment, ensuring complete security and compliance.
- Customization: Tailor scaling, performance, and resource allocation to fit your infrastructure?? specific needs.
- Ideal Use Case: Perfect for enterprises with strict security, privacy, and compliance requirements who want to retain full control over their cloud infrastructure.
Example: VPC Deployment in AWS
Below is an example of how Bytecompute AI VPC Deployment works in an AWS environment. This system diagram illustrates the architecture and flow:
- Secure VPC Peering: Bytecompute AI connects to your AWS environment via secure VPC peering, ensuring data remains entirely within your AWS account.
- Private Subnets: All data processing and model inference happens within private subnets, isolating resources from the internet.
- Control of Ingress/Egress Traffic: You have full control over all traffic entering and leaving your VPC, including restrictions on external network access.
- Data Sovereignty: Since all computations are performed within your VPC, data never leaves your controlled environment.
- Custom Scaling: Leverage AWS autoscaling groups to ensure that your AI workloads scale seamlessly with demand, while maintaining complete control over resources.
Although this example uses AWS, the architecture can be adapted to other cloud providers such as Azure or Google Cloud with similar capabilities.
For more information on VPC deployment, get in touch with us.
Comparison of Deployment Options
| Feature | Bytecompute AI Cloud | Bytecompute AI VPC Deployment |
|---|---|---|
| How It Works | Fully-managed, serverless API endpoints. On-demand and reserved dedicated endpoints for production workloads - with consistent performance and no rate limits. | Deploy Bytecompute's Platform and inference stack in your VPC on any cloud platform. |
| Performance | Optimal performance with Bytecompute inference stack and Bytecompute Turbo Endpoints. | Better performance on your infrastructure: Up to 2x better speed on existing infrastructure |
| Cost | Pay-as-you-go, or discounts for reserved endpoints. | Lower TCO through faster performance and optimized GPU usage. |
| Management | Fully-managed service, no infrastructure to manage. | You manage your VPC, with Bytecompute AI?? support. Managed service offering also available. |
| Scaling | Automatic scaling to meet demand. | Intelligent scaling based on your infrastructure. Fully customizable. |
| Data Privacy & Security | Data ownership with SOC 2 and HIPAA compliance. | Data never leaves your environment. |
| Compliance | SOC 2 and HIPAA compliant. | Implement security and compliance controls to match internal standards. |
| Support | 24/7 support with guaranteed SLAs. | Dedicated support with engineers on call. |
| Ideal For | Startups and companies that want quick, easy access to AI infrastructure without managing it. | Enterprises with stringent security and privacy needs, or those leveraging existing cloud infrastructure. |
Next Steps
To get started with Bytecompute AI?? platform, we recommend trying the Bytecompute AI Cloud for quick deployment and experimentation. If your organization has specific security, infrastructure, or compliance needs, consider Bytecompute AI VPC.
For more information, or to find the best deployment option for your business, contact our team.