AI tools tagged Cloud Only

Managed vector database for production-scale similarity search.

Fine-tune & serve open-weight models (Llama, Mistral, DeepSeek).

Serverless GPUs and infra for training & serving ML.

Generative AI and RAG built into the Snowflake data cloud

OpenAI's image model — strong on prompt adherence and text-in-image.

Serverless vector and document database for production RAG and AI agents

Vector search built into the operational database you're already using.

One-API platform for running and fine-tuning open-source models.

ByteDance's unified text-to-image and image-editing model, served via Volcengine.

Terminal-based AI pair programmer that writes commits.

Fine-tune GPT-4o-mini and friends on your own data.

Enterprise AI platform that grounds LLMs in your operational data and runs agents against real business systems.

Open-source vector DB with hybrid search and modules.

On-demand GPU cloud and serverless inference platform built specifically for AI workloads.

AI browser agent that automates web workflows from natural-language instructions, with CAPTCHA and 2FA handling built in.

Open-source browser automation harness and cloud platform for LLM agents that drive real websites.

AI-native GPU cloud built for large-scale training, fine-tuning, and inference on NVIDIA hardware.

Secure, isolated sandboxes for running AI-generated code with sub-90ms cold starts.

Managed hybrid vector search that lives inside the Databricks lakehouse and auto-syncs with your source tables.

On-demand NVIDIA GPU cloud built specifically for training, fine-tuning, and serving large AI models.

Production observability, tracing, and evaluation for LLM and agent systems from the Weights & Biases stack.

Web search API built for AI agents, with structured outputs and token-efficient highlights.

Serverless GPU inference platform optimized for fast diffusion and generative media APIs.

AWS's enterprise AI assistant for developers, analysts, and knowledge workers, wired into your company data.

Ray-powered platform for training, serving, and scaling LLMs.

Git-style version control for datasets, ML models, and experiment pipelines.

Generalist agent for research, code, and web tasks.

Cognition Labs' "autonomous software engineer" agent.

Production-ready RAG infrastructure with agentic search, citations, and model-agnostic plumbing.

Microsoft's enterprise-grade neural text-to-speech with 100+ languages, custom brand voices, and SSML control.

Agent-as-a-Service platform with managed RAG and a no-code builder for vertical enterprise AI.

Distributed training, fine-tuning, and serving platform with federated learning roots.

Serverless GPU infrastructure for AI workloads with sub-second cold starts and bring-your-own-cloud support.

Open-source BI platform with a Metabot AI layer for natural-language querying over your warehouse.

The de facto runtime for running open-weights LLMs locally, now with a paid cloud tier for bigger models.

End-to-end MLOps platform with GPU notebooks, training jobs, and model deployment, now folded into DigitalOcean.

Enterprise-grade data and AI analytics platform with built-in governance, MCP server, and a Copilot for regulated industries.

Enterprise AI observability and guardrails platform for monitoring agents, LLMs, and ML models in production.

Multi-agent AI research stack for scientists, with retrieval over 175M+ papers, patents, and trials.

Cloud browser infrastructure built for AI agents that need to scrape, click, and navigate the live web.

Infrastructure-agnostic MLOps platform for the full ML/DL lifecycle across public, hybrid, and on-prem clouds.

Managed Postgres with pgvector on dedicated NVMe, pitched as a cheaper RAG backend than Pinecone or Supabase.

AI-native platform engineering engine that provisions and manages cloud infrastructure from natural-language prompts.

Hyperparameter optimization from Weights & Biases with Bayesian search and Hyperband early stopping.

AWS's in-IDE coding assistant and agent, formerly CodeWhisperer, tuned for cloud-heavy workflows.

AWS's end-to-end platform for building, training, and deploying machine learning models and AI agents at enterprise scale.

Fine-tune and serve open-source LLMs on your own data without managing GPUs.

Veteran cloud TTS and speech recognition API with broad SDK and language coverage.