Overview
Vitis™ AI is a comprehensive acceleration platform for machine learning inference development on Xilinx platforms. It consists of a series of optimized IP, software tools, libraries, deep learning models from multiple industry-standard frameworks and sample designs, with which developers can easily achieve accelerated AI inference abilities on both FPGA and ACAP.
- Supports mainstream machine learning frameworks, Pytorch, Tensorflow and Caffe, and popular neural networks capable of diverse applications;
- Provides powerful AI Quantizer, Optimizer and Compiler that realize significant processing efficiency optimization;
- High-level C++/Python APIs for fast implementation on edge and cloud;
- Highly scalable DPU IP cores on Zynq SoCs and ACAPs to realize lower latency, higher throughput or lower power consumption
Highlights
- Vitis AI is easy to get-started with a whole stack of optimization from models pruning, quantization, compilation to deployment
- Vitis AI provides adaptive DSA to match the fast evolving AI algorithms of CNN, RNN and NLP
- It delivers industrial-leading AI inferencing performance on Xilinx Zynq SoC, MPSoC and Versal ACAP
Details
Typical total price
$1.65/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
f1.2xlarge Recommended | $0.00 | $1.65 | $1.65 |
f1.4xlarge | $0.00 | $3.30 | $3.30 |
f1.16xlarge | $0.00 | $13.20 | $13.20 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
It's a free AMI, but you can cancel at any time.
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Additional details
Usage instructions
Once the instance has been launched, you can access your instance via SSH using the username 'ubuntu' and your Amazon private key.
Launch Vitis AI Docker Container: cd /home/ubuntu/Vitis-AI ./docker_run.sh xilinx/vitis-ai-cpu
Run Examples: https://github.com/Xilinx/Vitis-AI/blob/1.4/examples/DPUCADF8H/README.md
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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