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Inference Providers Hardware Infrastructure Open Source Models Coding Agents Foundation Model Providers Llms Foundation Models Model Hosting Inference AI Agents AI Agents Infrastructure

Deep Infra

✓ verifiedPaid

Low-cost inference cloud with developer APIs to run open ML models and on-demand GPUs, billed pay-per-use.

375K visits/mo

Modal

✓ verifiedFreemium

Serverless AI cloud for running inference, training and sandboxes on GPUs with fast cold starts and pay-per-use billing.

988K visits/mo

Kiro AI

✓ verifiedFreemium

Kiro is a spec-driven agentic coding tool for IDE, CLI and web that turns prompts into specs and catches bugs with property-based tests.

3.8M visits/mo

DeepSeek

✓ verifiedFreemium

Chinese AI lab DeepSeek offering free chat apps and low-cost API access to its frontier V-series and R-series reasoning models.

430M visits/mo

PicoClaw

✓ verifiedFree

Ultra-lightweight, self-hosted open-source AI assistant in Go that runs on sub-$10 hardware like Raspberry Pi with under 10MB RAM.

81K visits/mo

Pricing

No public pricing

Starter: $0/mo + compute ($30 free credit)

Team: $250/mo + compute

Free: $0/mo (50 credits)

Pro: $20/user/mo (1,000 credits)

Pro+: $40/user/mo (2,000 credits)

Pro Max: $100/user/mo (5,000 credits)

Power: $200/user/mo (10,000 credits)

No public pricing

Core features

✦Hosted inference for many open models
✦Simple REST/OpenAI-compatible API
✦Pay-per-token or per-time billing
✦On-demand GPU rental
✦Broad catalog (Llama, DeepSeek, Qwen, Flux, etc.)
✦DeepStart and DeepCluster tooling

✦Serverless GPU compute defined in Python
✦Sub-second container cold starts
✦Autoscale 0 to 1000+ GPUs
✦Inference, training and batch workloads
✦Secure sandboxes for untrusted code
✦Built-in logging and observability

✦Spec-driven development (requirements, design, tasks)
✦Parallel agents, local or cloud
✦Property-based and correctness testing
✦Works in IDE, CLI, web and mobile
✦Multiple models (Claude, open-weight, Auto)
✦Headless CLI for CI/CD
✦Context from tools like Figma and Terraform

✦Free DeepSeek chat (web and app)
✦Open API platform
✦V-series and R-series reasoning models
✦DeepSeek-V4 with long context and stronger agent ability
✦OpenAI/Anthropic-compatible API
✦Extensive published model lineup

✦Single self-contained binary requiring under 10MB RAM
✦Sub-1-second startup even on low-power processors
✦Support for 16+ chat channels including Telegram, Discord, Slack, WeCom
✦Compatibility with multiple LLM providers (OpenAI, Claude, DeepSeek, Gemini, etc.)
✦Runs on Raspberry Pi, RISC-V, ARM64, x86_64, Android, and Docker
✦Self-hosted design keeping data and configuration local
✦Gateway/API mode for connecting to chat platforms via MCP protocol

Use cases

→Serving open-source models via API
→Building AI apps cost-efficiently
→Renting GPUs for inference or training
→Scaling inference up and down on demand

→Deploying and scaling model inference
→Fine-tuning and training models
→Running batch/parallel AI jobs
→Executing untrusted code in sandboxes

→Turning prompts into maintainable, spec-matched code
→Catching bugs unit tests miss
→Reviewing PRs and fixing bugs in CI/CD

→Free AI chat and assistance
→Building apps via API
→Reasoning and coding tasks
→Low-cost LLM inference

→Running a private AI assistant on minimal or embedded hardware
→Local code assistance that keeps proprietary code off the cloud
→Home automation and personal task scheduling via chat bots
→Privacy-conscious users wanting self-hosted AI on low-cost devices

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