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By using purpose-built acceleration, the DL2q instances deliver high throughput at a low cost. For example, DL2q instances deliver 100k ResNet50 images for less than $0.0017 or 100k BERT sequences for less than $0.0076.
Support for leading ML frameworks and models
DL2q instances and Qualcomm Apps and Platform SDK support leading ML frameworks such as TensorFlow and PyTorch, enabling you to continue using your preferred ML workflows. The Qualcomm Apps SDK also includes tools to enable easy porting and deployment of pre-trained models to DL2q instances while achieving the performance benefits of a purpose-built AI inference accelerator.
Consistent experience across edge and cloud
The same Qualcomm AI stack runs on Qualcomm edge devices and DL2q instances. This provides customers with a consistent developer experience, with a unified API across their cloud and edge development environments. So you can use DL2q instances to develop and validate AI solutions for smartphones, autonomous driving, personal compute, and extended reality headsets.
Features
Powered by Qualcomm AI 100 accelerators
DL2q instances feature 8 Qualcomm AI 100 accelerators with 16 GiB of memory per accelerator, 768 GiB of system memory, 2nd Generation Intel Xeon Scalable Processors, and 100 Gbps of network bandwidth.
Qualcomm Cloud AI Platform and Apps SDK
You can get started with DL2q instances using the Qualcomm Cloud AI Platform SDK. The SDK is comprised of kernel drivers for different OSs, user-space utilities, firmware, libraries, and validation tools. The Cloud AI Apps SDK contains the libraries and tools to help application developers and framework developers to interface with Qualcomm AI 100 accelerators. These SDKs are integrated with leading frameworks such as TensorFlow and PyTorch.
Built on AWS Nitro System
DL2q instances are built on the AWS Nitro System, which is a rich collection of building blocks that offloads many of the traditional virtualization functions to dedicated hardware and software to deliver high performance, high availability, and high security while also reducing virtualization overhead.
Product details
Instance Size
Qualcomm AI 100 Accelerators
Accelerator Memory (GB)
vCPU
Memory (GiB)
Local Storage
Inter-Accelerator Interconnect
Network Bandwidth (Gbps)
EBS Bandwidth (Gbps)
On-Demand Price
1-Year Reserved Instance
3-Year Reserved Instance
dl2q.24xlarge
8
128
96
768
EBS Only
No
100
19
$8.919
$5.352
$3.568
Getting started
The AWS Deep Learning AMIs (DLAMI) and AWS Deep Learning Containers (DLC)
AWS Deep Learning AMIs (DLAMI) and AWS Deep Learning Containers (DLC) provide data scientists, ML practitioners, and researchers with machine and container images that are pre-installed with deep learning frameworks. They make it easy to get started by letting you skip the complicated process of building and optimizing your software environments from scratch. The Qualcomm Apps and Platform SDK for Qualcomm AI 100 will be integrated into the AWS DL AMIs and DLCs enabling you to quickly get started with DL2q instances.