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What is Tencent Cloud Virtual Machine?

In order to meet the evolving needs of your business, you can quickly add or remove Cloud Virtual Machines (CVMs) in just a matter of minutes. By implementing suitable policies, you can ensure that your CVM instances automatically increase in capacity during high-demand periods to keep your applications running smoothly, while also scaling down when demand is low to help minimize costs. The CVM platform offers a wide variety of instances, operating systems, and software packages that can be customized to fit your specific requirements. You have the ability to adjust the CPU, memory, disk space, and bandwidth of each instance flexibly, ensuring they meet the demands of your applications. Furthermore, CVM supports several versions of both Linux distributions and Windows Server editions, giving you ample choice. As an administrator, you possess full control over your Tencent Cloud CVMs, enabling you to manage them comprehensively. You can leverage various tools, such as the Tencent Cloud console and APIs, to connect to your CVM instances, allowing you to perform essential tasks like rebooting and modifying network settings. This level of flexibility guarantees that your infrastructure can effectively and efficiently respond to fluctuating demands, providing you with peace of mind. Ultimately, this adaptability enhances your operational efficiency and ensures that you can consistently deliver a high-quality experience to your users.

What is Amazon EC2 Trn2 Instances?

Amazon EC2 Trn2 instances, equipped with AWS Trainium2 chips, are purpose-built for the effective training of generative AI models, including large language and diffusion models, and offer remarkable performance. These instances can provide cost reductions of as much as 50% when compared to other Amazon EC2 options. Supporting up to 16 Trainium2 accelerators, Trn2 instances deliver impressive computational power of up to 3 petaflops utilizing FP16/BF16 precision and come with 512 GB of high-bandwidth memory. They also include NeuronLink, a high-speed, nonblocking interconnect that enhances data and model parallelism, along with a network bandwidth capability of up to 1600 Gbps through the second-generation Elastic Fabric Adapter (EFAv2). When deployed in EC2 UltraClusters, these instances can scale extensively, accommodating as many as 30,000 interconnected Trainium2 chips linked by a nonblocking petabit-scale network, resulting in an astonishing 6 exaflops of compute performance. Furthermore, the AWS Neuron SDK integrates effortlessly with popular machine learning frameworks like PyTorch and TensorFlow, facilitating a smooth development process. This powerful combination of advanced hardware and robust software support makes Trn2 instances an outstanding option for organizations aiming to enhance their artificial intelligence capabilities, ultimately driving innovation and efficiency in AI projects.

Media

Media

Integrations Supported

AWS Batch
AWS Deep Learning AMIs
AWS Neuron
AWS Nitro System
AWS Trainium
Amazon EC2
Amazon EC2 Capacity Blocks for ML
Amazon EC2 Inf1 Instances
Amazon EC2 P4 Instances
Amazon EC2 P5 Instances
Amazon EC2 Trn1 Instances
Amazon EC2 UltraClusters
Amazon SageMaker
Amazon Web Services (AWS)
Datadog
Domino Enterprise AI Platform
Hugging Face
PyTorch
Ray
TensorFlow

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

Tencent

Date Founded

2013

Company Location

China

Company Website

intl.cloud.tencent.com/product/cvm

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/ec2/instance-types/trn2/

Categories and Features

Virtual Machine

Not specified

Categories and Features

AI Fine-Tuning

Not specified

AI Infrastructure

Not specified

Deep Learning

Not specified

Machine Learning

Not specified

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