Alternatives to llm-d

3 editor-selected alternatives · llm-d overview →

source: tools.alternatives · stored order · active records only; review scores are annotations and never change membership or order

A directional evidence panel appears only when the substitute rationale, trade-offs, sources, and verification date have been recorded. Older selections without that panel remain visible but are unclassified under the new evidence contract.

vLLM

91/100open sourceexplicit relation

vLLM is an Apache-2.0 LLM inference and serving engine focused on high-throughput self-hosted model APIs. It combines PagedAttention, continuous batching, prefix caching, quantization options, OpenAI-compatible serving, structured outputs, metrics, Docker/Kubernetes deployment guidance and integrations with agent and LLM frameworks.

vLLM is a 100% free and open-source LLM inference and serving engine released under the Apache 2.0 license ($0). There are no software licenses or subscription fees; operational costs depend solely on the user's underlying GPU compute and infrastructure.Review →

SGLang

open sourceexplicit relation

SGLang is an open-source serving framework for large language and vision-language models, designed for low latency and high throughput. It features RadixAttention for automatic KV cache reuse, compressed finite state machines for fast structured output generation, continuous batching, and tensor parallelism. With over 25,000 GitHub stars, it supports models like LLaMA, Mistral, Qwen, and Gemma on NVIDIA and AMD GPUs.

Free and 100% open source under the Apache-2.0 license. SGLang has no software licensing fees or subscription tiers; deployment costs are strictly tied to underlying self-hosted GPU infrastructure (NVIDIA CUDA, AMD ROCm).

Ollama

88/100open sourceexplicit relation

Tool for running large language models locally on your machine with a simple CLI interface. Download and run Llama 3, Mistral, Gemma, Phi, Code Llama, and dozens of other open-source models with a single command. Features model management, GPU acceleration (NVIDIA/AMD/Apple Silicon), OpenAI-compatible API server, Modelfile for customization, and multi-model switching. Ideal for offline AI development, privacy-sensitive use cases, and local testing. 120K+ GitHub stars.

Ollama is completely free and open-source (MIT) for running AI models locally on your own hardware ($0). Optional managed Ollama Cloud tiers include a Free evaluation tier, a Cloud Pro plan at $20/month, a Team plan at $25/seat/month, and a Cloud Max plan at $100/month.Review →

Open-source llm-d alternatives

vLLM, SGLang, Ollama — see all open-source developer tools.

More Model Providers tools

same category, not editor-selected alternatives — see how llm-d compares →

CiliumCilium is a CNCF Graduated, Apache-2.0 project for Kubernetes networking, security, and observability using eBPF. It can replace kube-proxy, enforce identity-aware L3-L7 network policies, and add Hubble flow observability plus Tetragon runtime-security signals. Current source checks support GKE Dataplane V2 using Cilium/eBPF and Azure CNI Powered by Cilium for AKS.ClaudeAnthropic's AI assistant known for strong reasoning, nuanced writing, and extended context up to 200K tokens. Available in Opus (most capable), Sonnet (balanced), and Haiku (fast) tiers. Features web search, deep research, file analysis, code execution, artifacts, and Projects for organized workflows. Claude Code provides terminal-based agentic coding. API supports tool use, batch processing, and prompt caching. Available via claude.ai, mobile apps, and developer API.CerebrasCerebras Inference serves open-weight LLMs like Llama, Qwen, and GPT-OSS on wafer-scale CS-3 chips through an OpenAI-compatible API, benchmarking between 1,800 and 2,600 output tokens per second on Llama 3.1 8B and several hundred on 70B models. A free tier offers one million tokens per day with no credit card, while paid pay-per-token pricing starts at $0.04 per million tokens for the smaller Llama models.ChatGPTChatGPT is OpenAI’s consumer and business assistant for everyday Q&A, writing, coding help, image tools, deep research, and workspace collaboration across web and apps. Plans span Free, Go, Plus, Pro, Business, and Enterprise on chatgpt.com.OrbStackOrbStack is a macOS application that replaces Docker Desktop with lightweight container and Linux VM management. Its docs emphasize fast starts, lower CPU and memory overhead, and native macOS integration with menu bar controls, file sharing, and network access to containers by name, with exact gains depending on workload. Supports Docker, Kubernetes, and full Linux VMs.RayRay is an open-source distributed computing framework built for scaling AI and Python applications from a laptop to thousands of GPUs. It provides libraries for distributed training, hyperparameter tuning, model serving, reinforcement learning, and data processing under a single unified API. Ray's public site highlights OpenAI and other enterprise users. Maintained by Anyscale with Apache-2.0 open-source licensing.GroqGroq is an AI inference provider built around custom Language Processing Unit (LPU) hardware for low-latency open-weight model serving. GroqCloud exposes an OpenAI-compatible API for Llama, GPT-OSS, Qwen, Kimi, DeepSeek, Gemma, Whisper, and related models, with high token-throughput positioning, model-specific rate limits, and usage-based pricing.ActAct is an open-source tool that runs GitHub Actions workflows locally using Docker containers that match GitHub's execution environment. It provides instant feedback on workflow changes without pushing to a repository, supports matrix builds, secret management, and artifact handling. Act can also replace Makefiles by using workflow files as task definitions, making it useful for both CI/CD development and local task automation across development teams.Anthropic APIOfficial API for Claude models including Opus, Sonnet, and Haiku. Supports tool use, computer use, extended thinking, and batch processing. Features prompt caching, streaming, and Messages API with vision capabilities. Known for strong performance on complex reasoning tasks, nuanced instruction following, and safety-conscious design that makes it trusted for enterprise and production applications.

FAQ

Which llm-d alternative is listed first?

vLLM is first in the editor-selected list of 3 llm-d alternatives and carries an editorial review score of 91/100. The stored order is editorial; review scores do not determine membership or position.

Are there open-source llm-d alternatives?

Yes — vLLM, SGLang, Ollama are open source.