What's the best GPU cloud instance for training LLMs with high VRAM and multi-GPU support?

If your goal is training LLMs and you want high VRAM plus multi-GPU support, the best choice depends on whether you care more about single-node scaling, cost, or latest hardware.

Best overall for serious LLM training

NVIDIA H100 instances with multi-GPU interconnect

Look for instances with:

• 8× H100 80GB
• NVLink / NVSwitch
• High-bandwidth networking if you scale across nodes

These are usually the top choice for:

• full fine-tuning
• large-scale pretraining
• distributed training
• high throughput and strong ecosystem support

Examples by cloud:

• AWS: p5 instances
• Google Cloud: A3 series
• Azure: ND H100-series
• CoreWeave / Lambda / RunPod / Vast.ai: often cheaper and easier to get available capacity

Best value for many training workloads

A100 80GB multi-GPU instances

If H100 is too expensive or unavailable, 8× A100 80GB is still excellent.

Good for:

• fine-tuning large models
• RLHF / DPO
• medium-scale pretraining
• lower-cost distributed training

Examples:

• AWS: p4de
• GCP: A2
• Azure: ND A100-series
• Lambda / CoreWeave / RunPod: often strong pricing

If you need maximum VRAM per GPU

H100 80GB / A100 80GB

These are the common sweet spot for training.

If you want even more VRAM per GPU, there are specialized options like:

• NVIDIA H200 141GB instances on some clouds
• L40S 48GB for cheaper setups, but less ideal for large training
• RTX 6000 Ada 48GB for smaller-scale fine-tuning

What matters most

For LLM training, prioritize:

1. GPU VRAM: 80GB+ is ideal
2. Number of GPUs
3. NVLink/NVSwitch within the node
4. High-speed networking for multi-node jobs
5. Storage + CPU + RAM to keep GPUs fed

Simple recommendation

• Best performance: 8× H100 80GB
• Best value: 8× A100 80GB
• Best cheap-ish fine-tuning: L40S / RTX 6000 Ada if your model fits

If you want, I can also give you a cloud-by-cloud ranking or recommend the best instance for a specific model size like 7B, 13B, 70B, or 405B.