NVIDIA
H100 and B200 GPU clusters

The top alternatives to llama.cpp in the Inference & Compute space, compared on features, pricing, and what they're best at.
Updated April 29, 2026
llama.cpp is the foundational C/C++ inference engine that redefined what's possible for running large language models outside of multi-billion-dollar data centers. With 107,000+ GitHub stars, it's the backbone of nearly every local-LLM tool — Ollama, LM Studio, GPT4All, Open WebUI, and countless others build on llama.cpp's runtime.
NVIDIA
H100 and B200 GPU clusters
CoreWeave
Large-scale GPU clusters (H100, A100)
Groq
Custom LPU inference chips
Together AI
Inference and training cloud
GPT4All
LocalDocs — chat with your local files using built-in RAG
Fal.ai
Media inference
Nebius
Lambda
NVIDIA GPU cloud instances
Anyscale
Plano
Cerebras
Wafer-scale inference chips
Fireworks AI
Optimized inference for open-source models
Modal
Serverless cloud for AI
Replicate
Prime Intellect
Decentralized distributed AI training
Hyperbolic
DePIN
RunPod
On-demand GPU instances
DigitalOcean
GPU droplets
SambaNova
Vultr
GPU cloud
Baseten
Vast.ai
Novita AI
Cumulus Labs
Multimodal inference optimization
Klaus AI
OpenClaw model hosting
RunAnywhere
On-device AI deployment
Piris Labs
Cerebras-class speed
One platform for routing, observability, tracing, and evals across every LLM provider.