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What is SynapseAI?

Our accelerator hardware is meticulously designed to boost the performance and efficiency of deep learning while emphasizing developer usability. SynapseAI seeks to simplify the development journey by offering support for popular frameworks and models, enabling developers to utilize the tools they are already comfortable with and prefer. In essence, SynapseAI, along with its comprehensive suite of tools, is customized to assist deep learning developers in their specific workflows, empowering them to create projects that meet their individual preferences and needs. Furthermore, Habana-based deep learning processors not only protect existing software investments but also make it easier to develop innovative models, addressing the training and deployment requirements of a continuously evolving range of models influencing the fields of deep learning, generative AI, and large language models. This focus on flexibility and support guarantees that developers can excel in an ever-changing technological landscape, fostering innovation and creativity in their projects. Ultimately, SynapseAI's commitment to enhancing developer experience is vital in driving the future of AI advancements.

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

Amazon Web Services (AWS)
PyTorch
TensorFlow

Integrations Supported

Amazon Web Services (AWS)
PyTorch
TensorFlow
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 UltraClusters
Amazon Elastic Container Service (Amazon ECS)
Amazon SageMaker
Datadog
Domino Enterprise AI Platform
Hugging Face
Ray

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / 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

Habana Labs

Date Founded

2016

Company Location

Israel

Company Website

habana.ai/training-software/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

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

Categories and Features

AI Infrastructure

Not specified

Deep Learning

Not specified

Categories and Features

AI Fine-Tuning

Not specified

AI Infrastructure

Not specified

Deep Learning

Not specified

Machine Learning

Not specified

Popular Alternatives

Popular Alternatives

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AWS Neuron

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AWS Trainium

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