Your springboard to edge AI
Edge AI is one of the hottest trends in IT, and with good reason. It’s the key to putting transformative AI workloads where they can make the biggest difference. Here’s how to make edge AI a reality.
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What is edge AI?
Edge AI is when you run applications powered by artificial intelligence on distributed edge computing infrastructure, instead of in a data center or cloud.
An edge computing endpoint may be a telco carrier’s base station, a connected car, a small form-factor server in a retail store, or a piece of medical equipment in a hospital.
What all these things have in common is that they are out in the world, close to users (whether they’re customers, patients or employees), and embedded in the front lines of business processes where data originates.
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3,000x growth
The global Edge AI software market is set to grow from $590 million in 2020 to $1.83 trillion by 2026, according to MarketsandMarkets Research.
Why edge is critical for AI workloads
AI applications will increasingly be deployed in edge locations in order to get closer to the data, the process and the user. This is essential for:
Performance
Availability
Cost
Security
Key capabilities for edge AI
Spectro Cloud’s Palette Edge solution now features Edge AI capabilities, designed to help enterprises like yours embrace the potential of AI at the edge. You’ll be able to:
Deploy and manage your edge AI stacks to edge locations at scale
To run AI workloads, each edge location needs servers with an OS, Kubernetes, integrations such as security and observability tools, a model serving framework such as Kubeflow, and one or more AI models deployed and configured. Doing this manually, hundreds or thousands of times, is cost prohibitive — especially if you need an expert to visit each site in person.
Palette’s Edge AI makes it easy, with:
- Repeatable ‘blueprints’ of the full AI and infrastructure stack, from OS to Kubeflow and Seldon, using Palette’s Cluster Profiles. You can enforce your ‘desired state’
- Low- and no-touch provisioning of all kinds of edge devices, including Arm and x86 architectures, with direct bootstrapping of bare metal devices
- Unique resilience and scalability with its patented decentralized architecture
Update your edge artificial intelligence models frequently without risk of downtime
Competitive innovation comes from non-stop incremental improvements in your AI models. How can you push new code daily, and roll back safely with full control? Palette’s EdgeAI enables you to:
- Access AI model control via your own private repositories and from Hugging Face
- Support safe experimentation with declarative, version-controlled, GitOps-able model configurations and A/B testing
- Make controlled changes fast, with zero downtime rolling upgrades that you can apply to single locations, groups of locations, or even your entire state of thousands of edge devices if you need to — executed in parallel
- Control risk with canary model deployments and easy rollback to previous model versions
- Monitor performance across multiple edge locations with native observability dashboards
Secure critical intellectual property and sensitive data with ai on the edge
Any edge computing has risks — and with edge AI, the stakes are high. The models themselves may be your critical IP, and they may be deployed in vulnerable edge locations that you don’t own. The data they gather and analyze may be sensitive and covered by compliance requirements.
Palette’s Edge AI solves for security with:
- Strict standards compliance. Palette is available with FIPS cryptography across all elements of its architecture. Of course it’s also compliant with ISO 27001, SOC 2 and other standards, and has passed infosec audits with some of the most stringent organizations
- Multi-layered security controls, from immutable OS images and persistent data encryption to verified secure boot, cluster hardening, SBOM and other security scans, and zero trust with granular RBAC. You can trust that every node that you bring online is trusted and secure.
- Full deployment flexibility. You can build your clusters with your preferred OS, security integrations and versions. You can deploy clusters air-gapped and even deploy your own instance of Palette in an air-gapped environment.
The choice of AI pioneers
Spectro Cloud Palette is already supporting innovative enterprises pioneering AI at the edge, including:
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Rapid uses the power of AI and Palette Edge to diagnose serious medical conditions across thousands of hospitals
“When it comes to deploying our applications securely and easily to the edge, we trust Spectro Cloud’s Palette”
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GE HealthCare uses our powerful edge AI platform to manage clinical apps including AI image analysis across medical locations.
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Flying autonomous robots with computer vision for perfect fruit picking.
Analysts at GigaOm rated us ‘leader’ and ‘outperformer’ on the 2024 Radar Reports for Kubernetes for Edge Computing.
Learn more
Learn more about edge AI
Take your next step
Unleash the full potential of Kubernetes at scale with Palette. Book a 1:1 demo with one of our experts today.
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