Articles from Source: DigitalOcean-Blog

The Agentic Era Demands a New Class of Infrastructure: DigitalOcean Acquires Katanemo Labs

2026-04-02 12:30
🚀 DigitalOcean has acquired Katanemo Labs to enhance its Agentic Inference Cloud. This move aims to simplify the operational layer of agentic systems. 📊 The acquisition addresses the challenge many developers face in transitioning from prototype to production. With observability as a key focus, DigitalOcean is set to deliver essential AI building blocks. 🔍 Katanemo's innovative data plane and observability research will streamline production execution and enhance agent performance. 📅 Join us...
Source: DigitalOcean Blog
Vinay Kumar, DigitalOcean Chief Product & Technology Officer

Run Advanced Reasoning on DigitalOcean with Arcee AI's Trinity Large-Thinking

2026-04-01 20:09
🚀 Exciting news! Arcee AI's Trinity Large-Thinking is now in Public Preview on DigitalOcean’s Agentic Inference Cloud. This model allows developers to run advanced reasoning workloads effortlessly, without managing infrastructure. Trinity Large-Thinking is built for real-world applications, featuring integrated systems for enhanced performance. Key benefits include serverless access, affordable pricing, and full model control via Apache 2.0 licensing. Start your advanced reasoning journey...
Source: DigitalOcean Blog
DigitalOcean

Now Available: DigitalOcean Cloud Security Posture Management (CSPM)

2026-04-01 14:46
🚀 Exciting news for DigitalOcean users! DigitalOcean has launched Cloud Security Posture Management (CSPM) to enhance security across cloud infrastructures. This agentless solution provides in-dashboard visibility, helping teams detect and fix risks without needing external tools. CSPM continuously assesses resources like Droplets and Databases, offering unlimited free scans for all customers. Premium plans unlock advanced rules and automation features. Start your scan today and keep your...
Source: DigitalOcean Blog
Grace Morgan

GTC 2026 Confirmed It: The Inference Era Is Here

2026-03-27 19:27
At NVIDIA GTC 2026, a significant shift in AI was highlighted: we are now in the era of production inference. 💻✨ The focus is on operational aspects like latency, reliability, and cost-efficiency, not just chip performance. This change is crucial as AI inference transforms innovation into real products and customer experiences. DigitalOcean introduced a new data center for AI inference and tools to streamline the deployment of AI agents. 🚀 Over 43,000 deployments of OpenClaw demonstrate...
Source: DigitalOcean Blog
Paddy Srinivasan

DigitalOcean India: Inside Our Growing Hub for AI and Cloud Innovation

2026-03-24 02:40
DigitalOcean is celebrating a successful year in India, with significant growth since its expansion into Hyderabad. The team has doubled in size to over 370 employees, contributing to the development of innovative AI solutions. 🌟 The India team plays a crucial role in building DigitalOcean’s Agentic Inference Cloud, launching products like GPU Droplets and Gradient AI. This collaboration emphasizes simplicity and speed in delivering cloud services. DigitalOcean is committed to fostering a...
Source: DigitalOcean Blog
Sujatha R

Enhancing Security with User-Specific Access Keys for DigitalOcean Functions

2026-03-23 19:30
🔐 DigitalOcean has announced a significant upgrade to its security model with user-specific access keys for Functions. This new approach enhances security by shifting access control from a shared model to individual user identities. This means that when a team member leaves, their access is automatically revoked, minimizing disruptions. Teams can now create multiple keys per namespace, improve accountability, and set expiration times for keys. For those using the DigitalOcean Functions API,...
Source: DigitalOcean Blog
Amulya Tomer

Meet the New Standard for High-Performance, Low-Cost Inference: NVIDIA Dynamo 1.0 is now available to DigitalOcean Customers

2026-03-19 22:13
🚀 Exciting news for DigitalOcean customers! NVIDIA Dynamo 1.0, launched at NVIDIA GTC, is now available, offering a 7x increase in inference performance on NVIDIA GB200 NVL systems. This boosts efficiency while reducing costs. 💰 DigitalOcean's collaboration with NVIDIA has already provided a 67% cost saving for clients like Workato. The new Dynamo allows for seamless deployment as a container image on DigitalOcean Kubernetes. Learn more about optimizing your AI workflows! #NVIDIA...
Source: DigitalOcean Blog
Waverly Swinton

Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems

2026-03-17 19:25
🔍 **Understanding Prompt Caching for AI Models** Large Language Models (LLMs) are key in modern AI, but token costs can escalate quickly. With prompt caching, repeated prompt segments can be reused, leading to significant reductions in both latency and costs. Key points include: - **How it Works**: Identical prompt segments are stored and reused across requests. - **Benefits**: Reduces costs by up to 90% and improves processing speed. - **Use Cases**: Effective for applications like ChatGPT...
Source: DigitalOcean Blog
Satyam Namdeo

DigitalOcean at NVIDIA GTC 2026: Building the AI Factory for the Agentic Era

2026-03-16 20:35
🚀 Exciting updates from DigitalOcean at NVIDIA GTC 2026! DigitalOcean is enhancing its AI capabilities by launching an "AI Factory" aimed at supporting developers in deploying autonomous agents with ease. The partnership with NVIDIA is set to simplify the deployment process and reduce operational costs. 🌐 With the launch of the Richmond data center, equipped with advanced NVIDIA systems, DigitalOcean is positioned to deliver high-performance cloud services tailored for AI. 💡 Builders can now...
Source: DigitalOcean Blog
Vinay Kumar, DigitalOcean Chief Product & Technology Officer

Deploy Smarter with AI: Introducing App Platform Skills on DigitalOcean

2026-03-16 14:00
🚀 Exciting news for developers! DigitalOcean has launched App Platform Skills, a collection of open-source, AI-native playbooks designed to enhance AI coding assistants. These Skills bridge the gap between coding and deploying applications by injecting up-to-date DigitalOcean knowledge into AI tools. This enables better deployment models and operational patterns. With just one command, AI assistants gain access to 12 specialized skills, covering everything from app design to troubleshooting....
Source: DigitalOcean Blog
Bikram Gupta

Scaling Autonomous Site Reliability Engineering: Architecture, Orchestration, and Validation for a 90,000+ Server Fleet

2026-03-13 15:49
🚀 As Cloudways scaled to manage over 90,000 servers, the challenge of support requests grew. To address this, they developed an AI-powered Site Reliability Engineer, Cloudways Copilot. 🤖 This tool offers automated insights and troubleshooting, enhancing response times and consistency compared to human agents. 🔍 The AI SRE Agent monitors systems, detects issues, and provides users with detailed diagnosis and remediation steps. 💡 Cloudways leveraged the DigitalOcean Gradient™ AI Platform for...
Source: DigitalOcean Blog
Najmus Saqib

Native .NET Buildpack Support is Now Available on App Platform

2026-03-05 21:21
🚀 Exciting news for .NET developers! DigitalOcean App Platform now supports native .NET buildpacks. You can deploy .NET applications directly from your Git repository—no Dockerfiles needed. Key benefits include zero configuration, multi-language support for C#, F#, and Visual Basic, and automatic SDK management for .NET versions 8.0, 9.0, and 10.0. Get started easily via the Control Panel, CLI, or API. #DotNet #DigitalOcean #AppPlatform #CloudDevelopment #DevOps
Source: DigitalOcean Blog
Bikram Gupta

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2026-03-03 08:34
🚀 Check out the latest insights from our recent article! It covers key points on current trends and developments in the industry. The content provides valuable information for professionals looking to stay updated and informed. Don't miss out on these important takeaways! 📈 #IndustryTrends #StayInformed #ProfessionalDevelopment
Source: DigitalOcean Blog
DigitalOcean

How DigitalOcean’s Agentic Inference Cloud powered by NVIDIA GPUs Achieved 67% Lower Inference Costs for Workato

2026-03-03 04:55
🚀 Workato’s AI Research Lab, processing 1 trillion automated workloads, partnered with DigitalOcean to optimize inference costs. Using NVIDIA Dynamo and vLLM, they achieved 67% higher throughput per GPU and 79% lower latency. Key/value-aware routing significantly reduced operational costs and model expenses. This collaboration showcases how efficient architecture can enhance AI performance at scale. 📊💡 #AI #MachineLearning #DigitalOcean #Inference #CloudComputing
Source: DigitalOcean Blog
Piyush Srivastava

Supabase Template is Now Available on DigitalOcean App Platform

2026-02-26 16:43
🚀 Exciting news! Supabase template support is now available on DigitalOcean App Platform! This allows developers to deploy a production-ready backend with managed PostgreSQL, authentication, REST API, file storage, and real-time capabilities—all with one click. Key benefits include: - Instant backend setup - Built-in security features - Self-hosted control over data Get started today by visiting the template repository! 🔗 [GitHub Repository](https://github.com/AppPlatform-Templates/supabase-...
Source: DigitalOcean Blog
Bikram Gupta

Zero to Deploy: Launching Your Career at DigitalOcean

2026-02-25 08:14
🚀 Starting a career at DigitalOcean offers recent graduates a chance to make an impact from day one. Three first-year employees shared their experiences, highlighting mentorship, ownership, and working on AI infrastructure. Mitali, Isabel, and Yeshvanth tackled real projects that went live, improving customer experiences. The supportive culture fosters bold thinking and encourages curiosity, helping new hires develop essential skills for their careers. Explore opportunities to build your...
Source: DigitalOcean Blog
Sujatha R

DigitalOcean Gradient™ AI GPU Droplets Optimized for Inference: Increasing Throughput at Lower the Cost

2026-02-19 14:42
🚀 DigitalOcean has launched the Inference Optimized Image for GPU Droplets, enhancing LLM inference performance. This pre-configured OS image incorporates multiple optimizations, achieving 143% higher throughput and 40.7% faster time-to-first-token, while cutting costs by 75%. Key optimizations include speculative decoding, FP8 quantization, and concurrent processing. This enables efficient use of resources, allowing Llama 3.3 70B to run on just 2 GPUs instead of 4. Learn more about the...
Source: DigitalOcean Blog
Hemasumanth Rasineni

Expanding our Agentic Inference Cloud: Introducing GPU Droplets Powered by AMD Instinct™ MI350X GPUs

2026-02-19 12:30
🚀 Exciting news from DigitalOcean! We are introducing high-performance GPU Droplets powered by AMD Instinct™ MI350X GPUs. These GPUs are designed to optimize AI workloads, enabling low latency and high throughput for complex tasks. Notable success stories include Character.AI, which achieved a 2X increase in production request throughput. ACE Studio is also leveraging this technology for innovative music creation. 🎶 Our GPU Droplets offer predictable pricing and easy setup, making it simple...
Source: DigitalOcean Blog
Waverly Swinton

DigitalOcean Gradient™ AI Platform Now Integrates with LlamaIndex

2026-02-18 20:23
🚀 DigitalOcean Gradient™ AI Platform now integrates with LlamaIndex! This integration allows seamless connection of your Knowledge Base and LLMs to LlamaIndex workflows. No extra infrastructure needed—just install two packages and start building. 🔗 New packages available: - `llama-index-retrievers-digitalocean-gradientai` - `llama-index-llms-digitalocean-gradientai` These tools support hybrid search, async operations, and more. Explore the possibilities for support assistants, internal tools,...
Source: DigitalOcean Blog
Narasimha Badrinath

The Container paradox: Why the Inference Cloud Demands a “Decoupled” Database

2026-02-10 14:00
Kubernetes has become a leading tool for scaling applications, but in the era of the Inference Cloud, managing databases within clusters may not be the best approach. DigitalOcean highlights that separating Managed Kubernetes and Managed Databases can enhance performance and efficiency. This “attach architecture” allows for better security, scalability, and reduced operational complexity. By keeping databases external, teams can focus on AI-driven applications without the hassle of managing...
Source: DigitalOcean Blog
Zach Peirce

Heroku’s Next Chapter Is Maintenance. Yours Shouldn’t Be

2026-02-09 23:13
Heroku has shifted to a “sustaining engineering” model, indicating that while immediate changes aren't expected, there is no forward roadmap or new feature investment. This shift means teams must reassess their platform's future, as innovation is key to avoiding operational risks. Migration from Heroku can be complex, requiring careful planning of architecture and dependencies. DigitalOcean offers a credible path forward, with tools and support for teams looking to migrate. Their App Platform...
Source: DigitalOcean Blog
Wade Wegner

Now Available: Anthropic Claude Opus 4.6 on DigitalOcean’s Agentic Inference Cloud

2026-02-06 19:38
🚀 Claude Opus 4.6 is now live on the DigitalOcean Gradient™ AI Platform! This model offers a 1M-token context and advanced agentic coding, enabling teams to handle large datasets, refactor code, and enhance office productivity. Opus 4.6 integrates seamlessly into your DigitalOcean environment, streamlining usage without extra contracts or management. Get started easily with Serverless Inference today! #AI #DigitalOcean #Opus4.6 #MachineLearning #TechUpdates
Source: DigitalOcean Blog
DigitalOcean

LLM Inference Benchmarking - Measure What Matters

2026-02-06 14:46
Understanding LLM inference is key for AI teams aiming to optimize performance and cost. The process involves two phases: **prefill**, which is compute-bound, and **decode**, which is memory-bound. Performance depends on factors like FLOPs utilization and memory bandwidth. Benchmarking should focus on three pillars: end-to-end performance, micro-benchmarking of components, and structured improvement strategies. Key metrics include Time to First Token (TTFT), Time per Output Token (TPOT), and...
Source: DigitalOcean Blog
Rithish Ramesh

Run Multiple OpenClaw AI Agents with Elastic Scaling and Safe Defaults — without Managing Infrastructure

2026-02-05 18:48
🌟 Exciting news for developers! OpenClaw is now available on DigitalOcean App Platform, designed for building and managing personal AI assistants. This platform simplifies operations by handling infrastructure, allowing teams to focus on agent behavior and configuration. It supports elastic scaling, enabling rapid growth from one assistant to multiple agents without complex re-architecting. Cost predictability is key, as it offers clear, instance-based pricing, helping teams manage budgets...
Source: DigitalOcean Blog
DigitalOcean

Technical Deep Dive: How we Created a Security-hardened 1-Click Deploy OpenClaw

2026-01-30 18:36
🚀 Exciting news from DigitalOcean! We've launched the 1-Click Deploy OpenClaw, an open source AI assistant that's gaining traction. This service allows users to deploy OpenClaw easily and securely on our Droplet® servers. Key features include safe communication through TLS, isolated agent code, and scalability options. We're focused on providing a stable and secure user experience. Explore the 1-Click Deploy OpenClaw today in our Marketplace! #OpenClaw #DigitalOcean #AIAssistant #TechNews
Source: DigitalOcean Blog
Freddie Rice

Technical Deep Dive: How we Created a Security-hardened 1-Click Deploy Moltbot

2026-01-29 21:32
🚀 DigitalOcean has launched a 1-Click Deploy Moltbot, an open-source AI assistant, designed for easy and secure use. With growing interest in Moltbot, we focused on enhancing security for users deploying this software. Key features include: - Consistent, stable deployments - Safe communication through TLS - Isolation of agent code for security The 1-Click Deploy Moltbot is now available in our Marketplace, making it simple to get started! 🔗 #DigitalOcean #Moltbot #OpenSource #CyberSecurity #AI
Source: DigitalOcean Blog
Freddie Rice

Introducing Moltbot on DigitalOcean: One-Click Deploy, Security-hardened, Production-Ready Agentic AI

2026-01-29 13:00
🚀 Exciting news for developers! DigitalOcean has launched a 1-Click deployment for Moltbot on Droplet® servers, allowing for faster, secure, and always-on agentic AI in the cloud. This deployment addresses key challenges like agent access security, execution isolation, and credential protection. Moltbot is built for continuous use and supports a smooth transition from local experimentation to production environments. 🔒 Key features include container-based isolation, default authentication,...
Source: DigitalOcean Blog
DigitalOcean

Technical Deep Dive: How DigitalOcean and AMD Delivered a 2x Production Inference Performance Increase for Character.ai

2026-01-13 12:30
🚀 Character.ai, collaborating with DigitalOcean and AMD, achieved a 2x increase in GPU performance for their AI platform. By optimizing AMD Instinct™ MI300X and MI325X GPUs, they enhanced request throughput while keeping latency low. Key strategies included advanced parallelization and efficient execution paths. This partnership led to a significant multi-year agreement, showcasing the effectiveness of tailored infrastructure for AI applications. #AI #DigitalOcean #AMD...
Source: DigitalOcean Blog
Piyush Srivastava

Introducing Multiple Registry Support on DigitalOcean Container Registry

2026-01-09 21:12
🌟 DigitalOcean has launched Multi-Registry Support for its Container Registry, now available for Professional Plan customers! Users can create and manage up to 10 registries under a single team, enhancing organization and deployment of containerized applications. Key benefits include: - Environment isolation for different deployment stages. - Improved regional performance to reduce latency. - Better compliance with data residency regulations. For detailed usage instructions, visit the...
Source: DigitalOcean Blog
Ravish Ahmad Khan

Building the Inference Cloud, and What Comes Next

2026-01-07 17:29
🚀 2025 marked a pivotal year for DigitalOcean as it expanded its product offerings and solidified its vision for the future of cloud and AI. The company focused on supporting customers in running inference at scale and launched a unified inference cloud platform for digital native enterprises. AI became essential for businesses, with 52% of organizations integrating AI into their strategies. To facilitate this, DigitalOcean introduced the Gradient AI Platform, enabling seamless integration...
Source: DigitalOcean Blog
Paddy Srinivasan

Unstoppable Velocity: Why 2026 is the Year to Join DigitalOcean

2026-01-06 17:31
🌊 Exciting opportunities await at DigitalOcean in 2026! As we build on our success from 2025, we're seeking talented individuals passionate about AI and innovation. With a culture focused on high performance and commitment to our 640K+ customers, we invite you to explore our open roles. Our Total Rewards program ensures competitive compensation and support for all team members, whether in-office or remote. Join us as we lead the AI revolution and shape the future of development! 🚀...
Source: DigitalOcean Blog
ccarpenter

Speed Up Your JavaScript Apps: Native Bun Support is Now Available on App Platform

2025-12-19 03:17
🚀 Exciting news for JavaScript developers! DigitalOcean App Platform now supports Bun, a high-performance runtime and package manager. Deploy Bun apps directly from your code repository with zero configuration required. Benefits include faster startup times, seamless Next.js support, and efficient resource usage. Ready to get started? Check out the official Bun documentation for more details! #JavaScript #DigitalOcean #Bun #WebDevelopment #NextJS
Source: DigitalOcean Blog
Dinesh Murthy

A More Powerful, Code-First Knowledge Base Experience on the DigitalOcean Gradient™ AI Platform

2025-12-17 19:50
🚀 Exciting updates are here for DigitalOcean Gradient™ AI Knowledge Bases! The new code-first feature allows developers to manage knowledge bases entirely through code, enhancing control over data ingestion, chunking, and retrieval. 🛠️ Key features include: - Direct API access for seamless integration. - Customizable ingestion from various sources. - Flexible chunking and embedding strategies. Start exploring these improvements in public preview and streamline your AI applications today! 🌐...
Source: DigitalOcean Blog
Grace Morgan

Introducing DigitalOcean Gradient™ AI Agent Development Kit: A code-first way to build production-ready AI agents

2025-12-17 17:32
🚀 Introducing the DigitalOcean Gradient™ AI Agent Development Kit (ADK)! This new code-first SDK simplifies the process of building, testing, and deploying AI agents. It offers tools for orchestration, state management, tool integration, and deployment, addressing the challenges faced after initial development. In the public preview, you can access features like tracing, knowledge base support, and multi-step evaluations, all designed to enhance visibility and efficiency. Start developing...
Source: DigitalOcean Blog
Grace Morgan

A Year of Innovation: DigitalOcean Managed Databases in 2025

2025-12-17 16:37
🚀 2025 was a transformative year for DigitalOcean Managed Databases, enhancing power and flexibility for developers. Key updates included support for new database versions, advanced UI configurations, and significant automation features like storage autoscaling. Notably, the introduction of the MCP Server allows for easier management through natural-language commands, improving workflow efficiency. Stay tuned for more innovations in 2026! 🌟 #DigitalOcean #ManagedDatabases #CloudComputing...
Source: DigitalOcean Blog
Nicole Ghalwash

Introducing the custom date range billing view

2025-12-16 21:27
🚀 DigitalOcean has launched a new custom date range billing view for all customers at no extra cost! This feature allows users to filter spending by any date range, providing daily, weekly, and monthly insights into costs by product. It's designed for better budgeting and proactive spend management. Key benefits include detecting anomalies quickly, precise reporting for internal budgets, and enhanced cost transparency. Explore this new tool in your Billing Console! 📊💰 #DigitalOcean...
Source: DigitalOcean Blog
Nicole Ghalwash

Leveling Up Kubernetes: Key DigitalOcean Managed Kubernetes Releases in 2025

2025-12-15 18:30
🚀 2025 was a pivotal year for DigitalOcean Managed Kubernetes, featuring significant upgrades that enhance simplicity, security, and scalability for developers. Key updates included increased cluster capacity, VPC-native networking, and the introduction of advanced GPU Droplets tailored for AI workloads. New features such as Nodepool Scale-to-zero and the Managed Gateway API also streamline operations, enabling teams to deploy more efficiently. Stay tuned for more innovations in 2026! 🌟...
Source: DigitalOcean Blog
Nicole Ghalwash

Powering the Next Leap in AI: GPU Droplets accelerated by NVIDIA HGX™ B300 are coming soon to DigitalOcean

2025-12-15 17:51
🚀 DigitalOcean is set to enhance its GPU offerings with the upcoming launch of GPU Droplets powered by NVIDIA HGX™ B300. This new platform brings significant advancements in computational power, memory bandwidth, and energy efficiency, making it ideal for demanding AI workloads. 🖥️ Key benefits include quick deployment, seamless integration, and cost-effective configurations tailored to your needs. With improved networking performance, users can expect faster training times for AI models....
Source: DigitalOcean Blog
Waverly Swinton

From User to Trusted Advisor: How Jeff Fan Powers Customer Success at DigitalOcean

2025-12-08 16:32
Meet Jeff Fan, Senior Solutions Architect at DigitalOcean. He combines technical skills and customer empathy to simplify cloud solutions for clients in Europe and Asia. 🌍☁️ Jeff emphasizes the importance of being a trusted advisor and bridging the gap between customers' current challenges and their future goals. His role focuses on understanding their needs and providing tailored solutions. DigitalOcean prioritizes customer feedback to drive innovation, ensuring that their offerings meet real...
Source: DigitalOcean Blog
Sujatha R

DoTs SDK Development: Automating TypeScript Client Generation

2025-12-05 20:10
🚀 Exciting news from DigitalOcean! We’ve launched DoTs, our new TypeScript SDK designed to simplify managing DigitalOcean resources. Why TypeScript? It enhances code reliability and developer experience with static type checking and intelligent code features. We’ve automated SDK generation using OpenAPI, GitHub Actions, and Kiota, ensuring consistency and up-to-date documentation. Explore how DoTs can streamline your development process! 🌐✨ #DigitalOcean #TypeScript #SDK #DevTools...
Source: DigitalOcean Blog
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