DigitalOcean

DigitalOcean officially launched its AI-Native Cloud at the Deploy 2026 conference, as detailed in a May 5, 2026 blog post by Chief Product & Technology Officer Vinay Kumar. The platform is structured around five integrated layers—Infrastructure (with owned silicon), Core Cloud, Inference Engine, Data & Learning, and M The post emphasizes that the stack is "independently useful and beautifully integrated," combining GPU-level economics with a managed agent runtime, vector and knowledge base services, and a kernel-optimized inference endpoint supporting open and frontier models. The author frames it as an opinionated, open-at-every-la

DigitalOcean's Inference documentation, last verified August 24, 2026, defines a five-tier quota system per account controlling Agents, Knowledge Bases, Requests Per Minute, and Tokens Per Minute. Tier 1 caps agents/Knowledge Bases at 15 with 120 RPM and 500K-750K TPM, while Tier 5 raises those limits to 120 agents/Kno The docs also clarify that all tiers except Tier 1 and Tier 2 can access every model in the catalog, while the lower tiers are blocked from Anthropic models and most OpenAI models, retaining only gpt-oss-120b and gpt-oss-20b. Bring Your Own Models imports are capped at 10, 50, or 100 models by tier, accept only Safeten

DigitalOcean published a detailed engineering deep dive into its Serverless Inference platform, describing it as a fully managed, API-first inference service offering 30+ foundation models across text, code, vision, image generation, video generation, and speech behind a single API key and base URL with pay-per-token p The article frames Serverless Inference as DigitalOcean's answer to production-scale pain points such as GPU resource contention, unpredictable traffic spikes, shifting latency-cost tradeoffs, and multi-model orchestration, positioning it as a way to avoid months of infrastructure stabilization work. Readers get a guid

DigitalOcean's Q2 2026 earnings call transcript (dated August 4, 2026) reports revenue of $281 million, up 29% year over year and exceeding the high end of guidance, with annual run-rate revenue reaching $1.13 billion (+29% YoY) and incremental ARR of $93 million, the highest quarterly addition in company history. AI C The call cites over 6,000 Inference Engine customers since launch, token volume increasing 30-fold over the prior 60 days, and open-weight model usage rising to 75% of total token volume from approximately 15% at initial launch. Large customer cohorts expanded sharply, with $1M+ ARR customers growing 214% YoY (23% of t

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BROOMFIELD, Colo., April 28, 2026--DigitalOcean (NYSE: DOCN) today announced the launch of its Inference Engine, a set of new production capabilities that give AI builders exceptional performance and unified control over how they run, scale, and optimize inference workloads. The announcement comes ahead of DigitalOcean

Aggregated DigitalOcean release notes (last updated September 9, 2026) report that DigitalOcean Kubernetes (DOKS) now supports Spot GPU node pools in public preview. The feature enables worker nodes on interruptible Spot GPU capacity for AMD Instinct MI350X and MI355X and NVIDIA B300 GPUs, priced at a lower, variable r The same aggregator records a September 8, 2026 model deprecation event: Kimi K2.5, GLM 5, GLM-5.1, and Nemotron-3-Super-120B are deprecated from DigitalOcean Inference as of that date, with users directed to newer replacements to avoid service disruption. The aggregator surfaces 187 release notes from 19 sources; the

Combining engineering expertise and cloud innovation to accelerate AI adoption BROOMFIELD, Colo.–(BUSINESS WIRE)–DigitalOcean (NYSE: DOCN), the comprehensive agentic