White Paper

AI + Containers: Interviews about AI Related Containers

The code underpinning artificial intelligence (AI) is increasingly found in container images. So the question must be asked: what do AI/ML developers think about containers? Do they cause problems?

In this white paper, we’ll dive in to some problems developers in AI/ML spaces identified, including:

  • How bloat in AI containers causes issues.
  • A “dependency hell” that consistently leads to version conflicts and confusion.
  • Gaps in knowledge about how containers work.

“As we champion the acceleration of AI technologies, we equally emphasize the critical need for cutting-edge security solutions to safeguard these advancements. We have adopted Chainguard Images to reduce the burden of vulnerability triage on our developers so they can focus on building and establishing a secure avenue for the broad adoption of AI technologies. We are thrilled to see Chainguard expand its offering to include AI and ML workloads and look forward to working together to bring secure AI innovation to the forefront.”

CTO, HiddenLayer Jacob Rideout
Trusted By
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Hidden Layer
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PyTorch CVE 1-Day Comparison
About

Introducing Chainguard AI Images

Chainguard AI Images are a suite of CPU and GPU-enabled container images, including popular frameworks like PyTorch, Conda, and Kafka. These images are hardened, minimal, and optimized for efficient AI development and deployment. By leveraging Chainguard AI Images, organizations can confidently secure their AI infrastructure, streamline vulnerability management, and maintain high performance with low-to-zero vulnerabilities.

With Chainguard’s AI Images You Can:

Network Nodes

Enhance Security

Pre-built images with rapid vulnerability patching ensure your AI applications are protected from emerging threats.

Chainguard Image OPTION 1

Optimize Performance

Minimal configurations and lightweight images reduce overhead and improve runtime efficiency.

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Achieve Compliance

Meet and exceed AI security compliance requirements with ease, streamlining audits and regulatory processes.

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Save Time

Simplify development and deployment processes, allowing your team to focus on innovation rather than infrastructure management.

Securing the AI/ML Supply Chain
Course

Securing the AI/ML Supply Chain

Love developing AI/ML but worried about cyberattacks? Join our course and gain essential skills in securing the AI/ML supply chain and earn a Credly badge, ensuring your innovations stay protected.

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Start Removing CVEs Today

Benefit from real-time remediation of critical vulnerabilities

nginx Chainguard Vuln Comparison

Don't Shift Left, Start Left

With 97.6% fewer vulnerabilities than the average container image, Chainguard Images reduce the complexity of your organization’s open source software consumption.

less CVE Buildup

Minimal software

Chainguard Images have a CVE accumulation rate that is 80% lower than industry alternatives, future-proofing against supply chain threats.

Version Latest Graphic

Rapid, Intentional Updates

Each Chainguard Image is built from source, which allows for daily patches without waiting on upstream distributions.

Resources

Blog

Chainguard AI Images: Securing the foundations of AI applications

Deploying modern AI frameworks in 2024 involves managing unremediated CVEs, bloated runtime environments, slow release cycles, and version conflicts. To address these challenges, Chainguard is launching Chainguard AI Images, a suite of hardened, minimal, and optimized container images for AI applications, enabling secure development and deployment.

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Guide

Is your AI trustworthy? Unmasking the hidden dangers of AI/ML supply chain

Calling all developers and security teams! This concise guide provides a quick overview of the AI/ML threat landscape and essential best practices. Discover the latest tools and techniques to protect your data, models, and infrastructure from emerging threats to build secure and reliable AI systems.

Download Now
News

Chainguard Raises $140 Million in Series C Funding to Secure the Next Frontier of AI Workloads

Chainguard, the safe source for open source, announced it has completed a $140 million Series C round of funding led by Redpoint Ventures, Lightspeed Venture Partners, and IVP, bringing the company's total funding raised to $256 million. Existing investors, including Sequoia Capital, Spark Capital, and Mantis VC also participated in the round.

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Let's Chat

Join the Future of Secure AI Development

Contact us today to learn how Chainguard AI Images can elevate your AI applications with enhanced security, simplicity, and performance, ensuring you stay ahead in today's competitive landscape of AI development.