Vertex AI Prediction Dedicated Endpoints are designed to meet the demands of generative AI and large-scale models, ensuring reliable performance and resource isolation
Vertex AI Prediction Dedicated Endpoints are designed to meet the demands of generative AI and large-scale models, ensuring reliable performance and resource isolation
Supports real-time, interactive applications like chatbots and content creation with APIs such as StreamRawPredict for bidirectional streaming
Supports real-time, interactive applications like chatbots and content creation with APIs such as StreamRawPredict for bidirectional streaming
Offers an interface compatible with OpenAI Chat Completion API to simplify migration and promote interoperability
Offers an interface compatible with OpenAI Chat Completion API to simplify migration and promote interoperability
Provides native support for gRPC, enabling low-latency, high-throughput communication for demanding AI workloads
Provides native support for gRPC, enabling low-latency, high-throughput communication for demanding AI workloads
Allows arbitrary timeouts for prediction queries, accommodating longer inference times for large models
Allows arbitrary timeouts for prediction queries, accommodating longer inference times for large models
Enhances stability and performance by efficiently managing CPU/GPU, memory, and network bandwidth demands
Enhances stability and performance by efficiently managing CPU/GPU, memory, and network bandwidth demands
Dedicated Endpoints are now the default serving mechanism for self-deployed models in Vertex AI Model Garden
Dedicated Endpoints are now the default serving mechanism for self-deployed models in Vertex AI Model Garden
Enables secure and efficient networking for Dedicated Endpoints Private, routing traffic exclusively through Google Cloud’s network
Enables secure and efficient networking for Dedicated Endpoints Private, routing traffic exclusively through Google Cloud’s network
Private Endpoints with PSC ensure requests originate from within your Virtual Private Cloud (VPC), avoiding public internet exposure
Private Endpoints with PSC ensure requests originate from within your Virtual Private Cloud (VPC), avoiding public internet exposure
PSC reduces latency variability by bypassing the public internet, ensuring predictable performance for intensive workloads
PSC reduces latency variability by bypassing the public internet, ensuring predictable performance for intensive workloads
Reduced Noisy Neighbor Impact: PSC improves network traffic isolation, minimizing performance interference from other users
Reduced Noisy Neighbor Impact: PSC improves network traffic isolation, minimizing performance interference from other users
Public Endpoint Option: Dedicated Endpoints Public remains available for models accessible via the public internet
Public Endpoint Option: Dedicated Endpoints Public remains available for models accessible via the public internet
Private Endpoints with PSC are advised for workloads requiring stringent security and predictable latency
Private Endpoints with PSC are advised for workloads requiring stringent security and predictable latency