Persistent teams with DigitalOcean to run AI workloads on Gradient AI Cloud
Persistent is teaming up with DigitalOcean to bring its AI services onto the cloud provider’s Gradient AI Agentic platform. The collaboration promises a more streamlined path for developers who need to spin up models, run inference, or manage entire agent pipelines without juggling multiple vendors. While the tech is impressive, the real question is how the joint offering will balance cost, performance and ease of use for businesses that lack deep‑learning expertise.
Here’s the thing: DigitalOcean’s recent push into high‑powered GPUs and end‑to‑end agent tooling aims to fill a gap that larger cloud players have left for smaller firms. Persistent’s decision to anchor its workloads on this stack signals confidence in the provider’s ability to deliver both the compute muscle and the development tools required for modern AI projects. The platform leverages DigitalOcean Gradient AI Agentic Cloud to run AI workloads and customer deployments.
This includes using Gradient AI for the full agent development lifecycle and high‑powered GPUs from DigitalOcean’s AI infrastructure offerings. Persistent said it selected Gradient AI Agentic.
The platform leverages DigitalOcean Gradient AI Agentic Cloud to run AI workloads and customer deployments. This includes using Gradient AI for the full agent development lifecycle and high-powered GPUs from DigitalOcean's AI infrastructure offerings. Persistent said it selected Gradient AI Agentic Cloud to deliver cloud infrastructure for digital-native enterprises and AI-native customers, while reducing infrastructure and maintenance costs through managed, ready-to-use environments.
It also provides continuous access to a catalogue of diverse models, frameworks, and AI accelerators within SASVA. Paddy Srinivasan, CEO, DigitalOcean, said, "DigitalOcean's agentic cloud delivers the infrastructure, platform, and services that make AI accessible, scalable, and cost-effective." Partnering with Persistent, he said, expands these capabilities to more enterprise use cases by integrating the company's AI foundation with SASVA's deterministic engineering. The companies aim to address the mounting challenges organisations face as they accelerate AI adoption, including rising GPU and infrastructure costs, fragmented agent development ecosystems, and increasing security and compliance requirements.
With the collaboration, they project to reduce AI infrastructure and operational costs by more than 50%, enabling faster adoption and more predictable scaling of AI across industries.
Will this partnership deliver on its promises? Persistent has chosen DigitalOcean as the backbone for its SASVA platform, a move that signals a clear intent to make AI more accessible to enterprises and developers. Yet, the true cost‑effectiveness of the combined Gradient AI Agentic Cloud and high‑powered GPU offerings remains to be demonstrated in real‑world deployments.
By integrating code, documentation, architecture, and execution layers, SASVA aims to simplify the agent development lifecycle, while DigitalOcean’s Gradient AI infrastructure is positioned to handle the compute‑intensive workloads. The collaboration advertises scalability and security, but the article provides no metrics to gauge performance or resilience under peak demand. Consequently, observers may question whether the announced scalability will hold up as adoption grows.
Nonetheless, the partnership does establish a concrete pathway for Persistent to leverage DigitalOcean’s AI‑focused services, potentially lowering barriers for smaller teams. Whether this translates into broader enterprise uptake is still uncertain. It doesn't claim perfection, only progress.
Future case studies will clarify the practical benefits and any limitations of this joint effort.
Further Reading
- Persistent and DigitalOcean Announce Strategic Partnership to Advance Accessible, Scalable and Secure AI - Persistent
- DigitalOcean Announces a Strategic Partnership with Persistent to Advance Accessible, Scalable, and Secure AI - DigitalOcean
- Persistent Systems Partners with DigitalOcean to Expand AI Adoption for Enterprises - India Infoline
- Persistent Partners with DigitalOcean to Drive AI Adoption for Enterprises - ET Enterprise AI
- Persistent Systems share price in focus on strategic partnership with DigitalOcean for AI advancement - Angel One
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Common Questions Answered
What is the Gradient AI Agentic Cloud and how does Persistent use it?
The Gradient AI Agentic Cloud is DigitalOcean’s managed platform that provides ready‑to‑use environments for building, training, and deploying AI agents. Persistent uses it to host its SASVA platform, leveraging the service’s full agent development lifecycle and high‑powered GPU resources to run inference and manage deployments without maintaining its own infrastructure.
How does the partnership aim to reduce infrastructure and maintenance costs for digital‑native enterprises?
By moving AI workloads to DigitalOcean’s Gradient AI Agentic Cloud, Persistent offloads hardware provisioning, scaling, and routine updates to a managed service. This eliminates the need for on‑premise GPU clusters and reduces operational overhead, allowing enterprises to focus on building AI applications rather than maintaining servers.
What role do high‑powered GPUs from DigitalOcean play in Persistent’s SASVA platform?
The high‑powered GPUs provide the compute horsepower required for training large language models and executing real‑time inference within the SASVA platform. Their integration ensures that developers can spin up models quickly and run agent pipelines efficiently, delivering performance comparable to dedicated AI cloud providers.
What are the open questions regarding cost‑effectiveness of the combined offering?
While the partnership promises lower expenses through managed services, the actual cost‑effectiveness will depend on real‑world usage patterns, GPU pricing tiers, and the scale of deployments. Analysts are watching to see if the savings from reduced infrastructure management outweigh the pay‑as‑you‑go fees for Gradient AI’s GPU resources.