Best GPU for LLM Inference
Run inference on large language models
Minimum VRAM recommended: 48GB
Recommended GPUs
NVIDIA A100
80GB · AmpereLarge 80GB VRAM fits most open-source LLMs. Excellent throughput for serving multiple concurrent requests.
NVIDIA H100
80GB · HopperFastest inference latency with FP8 support. Ideal for real-time applications requiring low response times.
NVIDIA A6000
48GB · AmpereCost-effective option with 48GB VRAM. Handles medium-sized models (up to 30B parameters) at a lower price point.
Other Use Cases
Stable Diffusion
Image generation with Stable Diffusion XL and SD 3.0
LLM Training
Train large language models like LLaMA, Mistral
Fine-Tuning
Fine-tune models with LoRA, QLoRA
Video Rendering
3D rendering and video processing
Deep Learning
General deep learning research and training
Object Detection
Real-time object detection with YOLO, DINO
Speech Recognition
Whisper, ASR models and voice AI
Image Classification
Training and inference for classification models
NLP Research
Natural language processing experiments
Data Science & Analytics
RAPIDS, cuDF and GPU-accelerated analytics
Generative AI (LLMs + Images)
Full generative AI stack: text, image, multimodal