GPUs with 64–∞ GB VRAM for Running LLMs
Browse 18 GPUs with 64–∞ GB VRAM compatible with running LLM models locally. Compare VRAM, memory bandwidth, and AI performance. Top picks and budget guide
18 GPUs
| GPU | Price |
|---|---|
| RTX PRO 6000 BlackwellPro96 GBGDDR7 · 1,792 GB/s · 600 WNVIDIA · Blackwell · 2025 | about $8,565 |
| H200 SXMPro141 GBHBM3e · 4,800 GB/s · 700 WNVIDIA · Hopper · 2024 | – |
| B200Pro192 GBHBM3e · 8,000 GB/s · 1000 WNVIDIA · Blackwell · 2024 | – |
| H100 SXMPro80 GBHBM3 · 3,352 GB/s · 700 WNVIDIA · Hopper · 2022 | – |
| H100 PCIePro80 GBHBM2e · 2,039 GB/s · 350 WNVIDIA · Hopper · 2022 | – |
| A100 80GB SXMPro80 GBHBM2e · 2,039 GB/s · 400 WNVIDIA · Ampere · 2020 | – |
| RTX PRO 5000 BlackwellPro72 GBGDDR7 · 1,344 GB/s · 300 WNVIDIA · Blackwell · 2025 | about $4,500 |
| RTX PRO 6000 Blackwell Max-QPro96 GBGDDR7 · 1,792 GB/s · 300 WNVIDIA · Blackwell · 2025 | about $8,565 |
| H200 NVLPro141 GBHBM3e · 4,800 GB/s · 600 WNVIDIA · Hopper · 2024 | – |
| B300Pro288 GBHBM3e · 8,000 GB/s · 1400 WNVIDIA · Blackwell Ultra · 2025 | – |
| Instinct MI300XPro192 GBHBM3 · 5,300 GB/s · 750 WAMD · CDNA 3 · 2023 | – |
| Instinct MI325XPro256 GBHBM3e · 6,000 GB/s · 1000 WAMD · CDNA 3 · 2024 | – |
| Instinct MI350XPro288 GBHBM3e · 8,000 GB/s · 1000 WAMD · CDNA 4 · 2025 | – |
| Instinct MI355XPro288 GBHBM3e · 8,000 GB/s · 1400 WAMD · CDNA 4 · 2025 | – |
| GH200 Grace Hopper SuperchipPro144 GBHBM3e · 4,900 GB/s · 1000 WNVIDIA · Hopper (Grace Hopper) · 2024 | – |
| RTX PRO 6000 Blackwell ServerPro96 GBGDDR7 · 1,597 GB/s · 600 WNVIDIA · Blackwell · 2025 | – |
| Instinct MI250XPro128 GBHBM2e · 3,277 GB/s · 560 WAMD · CDNA 2 · 2021 | – |
| Instinct MI210Pro64 GBHBM2e · 1,638 GB/s · 300 WAMD · CDNA 2 · 2022 | – |
Which GPU Do You Need for AI?
The amount of VRAM is the most important specification for running LLMs locally. Most 7B parameter models require 4–8 GB of VRAM at common quantization levels, while 70B models need 24–48 GB. Memory bandwidth determines how fast the model generates tokens — faster bandwidth means faster responses.