NVIDIA A100 80GB Cloud India 2026 — Rent from $0.31/hour

LLM inference: Llama 3 70B (4-bit), Mixtral 8x7B, Qwen 2.5 32B, all 7B-13B models. LLM fine-tuning: Llama 3 8B (full FT or LoRA), 70B with LoRA. Image gen: SDXL, Flux.1 Dev FP16, batch generation. Whisper Large v3 batch transcription. Training small-to-medium ML models.

A100 80GB ($0.31/hr): great value for inference + training, mature ecosystem. H100 80GB ($1.99/hr): 2-3× faster than A100 for transformers, FP8 support, better for large model training. For most LLM inference, A100 is the best value. For production scale or large-model training, H100.

With LoRA / QLoRA: yes, single A100 80GB handles Llama 70B LoRA fine-tuning with batch size 1-2. Full fine-tuning of 70B requires 4-8× A100 80GB (multi-GPU setup). For most fine-tuning use cases, LoRA on single A100 is sufficient.

For LLM inference (transformer workloads): A100 is 2-3× faster than RTX 4090 due to Tensor Cores + HBM memory bandwidth. For image gen (SD/Flux): A100 is ~20-30% faster than RTX 4090. For batch inference: A100 wins significantly due to larger VRAM allowing bigger batch sizes.