1. [Home](https://www.g2.com/) 2. ... 3. [Infrastructure as a Service (IaaS) Software](https://www.g2.com/categories/infrastructure-as-a-service-iaas) 4. [DigitalOcean](https://www.g2.com/products/digitalocean/reviews) 5. [DigitalOcean Claims vs Evidence](https://www.g2.com/products/digitalocean/claims-vs-evidence) # DigitalOcean Claims vs Evidence ## Claim: “Train and deploy multimodal AI workflows that process text, image, and audio data, securely hosted and easily scalable on DigitalOcean.” ##### Mixed support from reviews. Reviewers are split, with some reporting AI infrastructure and inference offerings, while others describe limited GPU availability and insufficient support for AI/ML-heavy workflows. The reviews do not specifically establish support for multimodal text, image, and audio workflows or the claim’s security and scalability details. - “The infrastructure for AI and AI powered solutions is good.” [Read Full Review](https://www.g2.com/survey_responses/10938705) - “Range of offerings including AI inference engines” [Read Full Review](https://www.g2.com/survey_responses/11903896) - “Its limited GPU offerings and lack of support for AI/ML heavy workflows is something I miss on Digital ocean.” [Read Full Review](https://www.g2.com/survey_responses/11788544) - “I wish they provided smaller GPUs to host models on. I currently use huggingface for this and would rather just one could provider” [Read Full Review](https://www.g2.com/survey_responses/10829447) Last updated Sep 30, 2026 Source: [https://www.digitalocean.com/solutions/multimodal-ai](https://www.digitalocean.com/solutions/multimodal-ai) ## Claim: “The Inference Engine for production AI: every model, every modality, on one platform, with the DigitalOcean Inference Router to optimize every call.” ##### Mixed support from reviews. Some reviewers report AI infrastructure and inference-engine offerings, while others describe limited GPU and AI/ML support and say the AI/ML products do not match the core infrastructure. The reviews do not specifically establish the claim’s breadth across every model and modality or the Inference Router’s ability to optimize every call. - “Range of offerings including AI inference engines” [Read Full Review](https://www.g2.com/survey_responses/11903896) - “The infrastructure for AI and AI powered solutions is good as well.” [Read Full Review](https://www.g2.com/survey_responses/10938705) - “Its limited GPU offerings and lack of support for AI/ML heavy workflows is something I miss on Digital ocean.” [Read Full Review](https://www.g2.com/survey_responses/11788544) - “The core droplet infrastructure is solid and the pricing is competitive. It is a shame the AI/ML product layered on top of it does not meet the same standard.” [Read Full Review](https://www.g2.com/survey_responses/12683013) Last updated Sep 30, 2026 Source: [https://www.digitalocean.com/products/inference-engine](https://www.digitalocean.com/products/inference-engine) ## Claim: “Bare Metal GPUs provide isolated hardware without virtualization—offering consistent, high-performance, and customizable environments for demanding AI training, inference, or HPC tasks.” ##### Disputed by reviews. Relevant reviewers consistently describe limited GPU availability, restricted access, and insufficient support or sizing for demanding AI/ML workloads, which materially conflicts with the claim’s broad suitability for such tasks. - “not much GPU support in EU, looking for usage-based GPU for offline training” [Read Full Review](https://www.g2.com/survey_responses/11914592) - “Its limited GPU offerings and lack of support for AI/ML heavy workflows is something I miss on Digital ocean.” [Read Full Review](https://www.g2.com/survey_responses/11788544) - “I wasn't able to use the GPU droplet because of not reaching a certain quota.” [Read Full Review](https://www.g2.com/survey_responses/11905933) - “I wish they provided smaller GPUs to host models on.” [Read Full Review](https://www.g2.com/survey_responses/10829447) Last updated Sep 30, 2026 Source: [https://www.digitalocean.com/products/bare-metal-gpus](https://www.digitalocean.com/products/bare-metal-gpus) ## Claim: “Knowledge Bases handles ingestion, chunking, embeddings, retrieval, reranking, in one system — no management of vector DB or retrieval logic required.” ##### Disputed by reviews. A reviewer reports that AI knowledge bases require separately paid database storage, which materially conflicts with the claim that no vector database management is required. Other reviews mention indexing or AI infrastructure but do not establish the full ingestion, chunking, embedding, retrieval, and reranking workflow. - “forcing us to have to pay for db storage for AI knowledge bases” [Read Full Review](https://www.g2.com/survey_responses/11903896) Last updated Sep 30, 2026 Source: [https://www.digitalocean.com/products/knowledge-bases](https://www.digitalocean.com/products/knowledge-bases) ## Claim: “DigitalOcean Bare Metal GPUs provide full access to all GPUs, offering dedicated, single-tenant infrastructure with no neighbors that makes them ideal for large-scale model training, real-time inference, and complex orchestration.” ##### Disputed by reviews. Relevant reviewers consistently describe limited GPU availability, quota restrictions, and inadequate support for AI/ML-heavy workflows, which materially conflicts with the claim of full GPU access for large-scale training and inference. No reviews in this set substantiate the dedicated single-tenant or no-neighbor assertions. - “not much GPU support in EU, looking for usage-based GPU for offline training” [Read Full Review](https://www.g2.com/survey_responses/11914592) - “I wasn't able to use the GPU droplet because of not reaching a certain quota.” [Read Full Review](https://www.g2.com/survey_responses/11905933) - “Its limited GPU offerings and lack of support for AI/ML heavy workflows is something I miss on Digital ocean.” [Read Full Review](https://www.g2.com/survey_responses/11788544) Last updated Sep 30, 2026 Source: [https://www.digitalocean.com/products/bare-metal-gpus](https://www.digitalocean.com/products/bare-metal-gpus) ## Claim: “Knowledge Bases is a fully managed Retrieval-Augmented Generation (RAG) service that handles embeddings, vector storage, retrieval, reranking, and retrieval— so you can go from documents to intelligent AI apps without managing infrastructure.” ##### Disputed by reviews. Relevant reviewers describe limitations affecting AI knowledge-base workflows, including stalled indexing and the need to pay separately for database storage, rather than an entirely infrastructure-free managed experience. No review directly supports the claim’s full set of RAG capabilities. - “Indexing job on a single small file has been running for 7+ hours, stuck at 0% progress, 0 tokens indexed.” [Read Full Review](https://www.g2.com/survey_responses/12683013) - “forcing us to have to pay for db storage for AI knowledge bases” [Read Full Review](https://www.g2.com/survey_responses/11903896) Last updated Sep 30, 2026 Source: [https://www.digitalocean.com/products/knowledge-bases](https://www.digitalocean.com/products/knowledge-bases) ## Claim: “Deploy your preferred agent harness or bring your own, connect it safely to 16,000+ tools, and let it do more work at scale — with no infrastructure to build or maintain.” ##### Mixed support from reviews. Some reviewers report simplified deployment with less infrastructure maintenance and fewer security or latency concerns, while another reviewer describes failures with bring-your-own-key agents and an Agent Playground cap. The reviews do not establish the specific 16,000+ tools figure. - “not having to worry about the majority of deployment details and maintenance saved our team tons of time and trouble.” [Read Full Review](https://www.g2.com/survey_responses/10452066) - “with a few clicks I got everything working and without concern too much about security, latency or other topics that are somewhat cumbersome on other platforms.” [Read Full Review](https://www.g2.com/survey_responses/10452077) - “API keys for bring-your-own-key on production models show 0 agents attached when agents are clearly attached.” [Read Full Review](https://www.g2.com/survey_responses/12683013) - “Agent Playground hard-caps...” [Read Full Review](https://www.g2.com/survey_responses/12683013) Last updated Sep 30, 2026 Source: [https://www.digitalocean.com/products/managed-agents](https://www.digitalocean.com/products/managed-agents) ## Claim: “Connect any MCP-compatible agent or DigitalOcean AI Agent directly to your knowledge base — no glue code, authentication plumbing, or custom connectors.” ##### Disputed by reviews. Relevant reviewers describe AI knowledge-base functionality as insufficiently integrated and report indexing and agent-attachment problems, which conflicts with the claim of direct connections without authentication plumbing or custom integration. No reviews provide meaningful support for the specific MCP-compatible, no-glue-code assertion. - “Sometimes the offerings are not as integrated as I would like (load balancing, VPN, etc) or seem unnecessary (forcing us to have to pay for db storage for AI knowledge bases for instance)” [Read Full Review](https://www.g2.com/survey_responses/11903896) - “Indexing job on a single small file has been running for 7+ hours, stuck at 0% progress, 0 tokens indexed.” [Read Full Review](https://www.g2.com/survey_responses/12683013) - “API keys for bring-your-own-key on production models show 0 agents attached when agents are clearly attached.” [Read Full Review](https://www.g2.com/survey_responses/12683013) Last updated Sep 30, 2026 Source: [https://www.digitalocean.com/products/knowledge-bases](https://www.digitalocean.com/products/knowledge-bases)