Best AI tools for gpu infrastructure

Together AI

Featured

Fine-tuning · Llama / Mistral / Qwen / DeepSeek and others

8.6

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

Modal

Fine-tuning · Infrastructure (any model you can host)

8.7

Serverless GPUs and infra for training & serving ML.

CoreWeave

Fine-tuning

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

FedML

Fine-tuning · Bring-your-own (PyTorch, Hugging Face)

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

Lambda

Fine-tuning

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

OpenPipe

Fine-tuning · Llama, Mistral, Qwen and other open-weight base models

Fine-tuning and reinforcement learning platform for turning expensive prompts into cheap, fast, task-specific models.

Paperspace Gradient

Fine-tuning · Bring-your-own (PyTorch, TensorFlow, Hugging Face)

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

RunPod

Fine-tuning · Bring-your-own (any open-weight or custom model)

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

vLLM

Fine-tuning · Multi-model (open-weight LLMs: Llama, Qwen, DeepSeek, Mistral, Gemma, Phi, etc.)

Open-source high-throughput inference engine for serving LLMs with PagedAttention and continuous batching.