Skip to content
80 GB+ VRAM (datacenter)59 TOOLS FIT THIS TIER

AI tools that run on 80 GB+ datacenter GPUs

Eighty gigabytes and up is datacenter territory — typically rented by the hour rather than owned. This is where you serve 70B+ LLMs at production scale, full fine-tune large models, and run multi-GPU video diffusion pipelines.

YOUR POSITION ON THE VRAM SCALE
TYPICAL GPUS IN THIS TIER //
NVIDIA A100 80GBNVIDIA H100 80GBNVIDIA H200 141GBNVIDIA B200

Capabilities

✓ WHAT YOU CAN RUN

  • vLLM serving 70B+ models at production throughput
  • Full fine-tunes of large models
  • Multi-GPU video diffusion pipelines
  • Large-context (128k+) LLM workloads
  • Tensor-parallel inference across multiple GPUs

✕ WHAT STAYS OUT OF REACH

  • Not applicable — this is the top of the ladder
[ READ THE ASSUMPTIONS ]

VRAM tier ≠ universal guarantee

These are planning envelopes. Model variant, precision, resolution, frame count, context, cache, runtime, and offload can move the same workload across tiers. The guide shows how to validate a real ComfyUI graph before buying hardware.

VRAM decision guide →

Recommended tools for 80 GB+ VRAM (datacenter)

Sorted by best fit for this tier — tools designed around your VRAM budget first, then by our power-user score.

vLLM

High-throughput LLM serving for GPUs.

OPEN SOURCE24–80 GB VRAM
VRAM fit24–80 GB

NVIDIA Cosmos

World-foundation models for physical AI.

OPEN SOURCE24–80 GB VRAM
VRAM fit24–80 GB

HunyuanVideo

13B open-weight cinematic text-to-video.

OPEN SOURCE24–48 GB VRAM
VRAM fit24–48 GB

Magi-1

Autoregressive video diffusion at 24 GB.

OPEN SOURCE24–48 GB VRAM
VRAM fit24–48 GB

Mochi 1

Genmo's 10-B open-weight T2V — the first 'genuinely fluid' OSS video model.

OPEN SOURCE24–60 GB VRAM
VRAM fit24–60 GB

Modal

Serverless Python for GPU workloads.

FREEMIUM16–80 GB VRAM
VRAM fit16–80 GB

TRELLIS

Microsoft Research's structured 3D representation model.

OPEN SOURCE16–24 GB VRAM
VRAM fit16–24 GB

Pyramid Flow

Memory-efficient T2V via pyramidal flow matching.

OPEN SOURCE16–24 GB VRAM
VRAM fit16–24 GB

Wan 2.2

Open-weight video diffusion from Alibaba.

OPEN SOURCE12–48 GB VRAM
VRAM fit12–48 GB

Kohya_ss

The standard SDXL/Flux LoRA training UI.

OPEN SOURCE12–24 GB VRAM
VRAM fit12–24 GB

Hunyuan3D-2

Tencent's open 3D generator — multi-view, PBR, ready-to-use meshes.

OPEN SOURCE12–16 GB VRAM
VRAM fit12–16 GB

LTX-Video

Real-time-ish open video diffusion from Lightricks.

OPEN SOURCE12–16 GB VRAM
VRAM fit12–16 GB

OneTrainer

Modern alternative trainer for SD/SDXL/Flux.

OPEN SOURCE12–24 GB VRAM
VRAM fit12–24 GB

SUPIR

Diffusion-based photorealistic upscaler.

OPEN SOURCE12–24 GB VRAM
VRAM fit12–24 GB

CogVideoX 5B

Open-source text-to-video diffusion from THUDM.

OPEN SOURCE12–24 GB VRAM
VRAM fit12–24 GB

FluxGym

Dead-simple Flux LoRA training in a Gradio UI.

OPEN SOURCE12–20 GB VRAM
VRAM fit12–20 GB

FLUX.1 [dev]

12B parameter open-weight diffusion model.

OPEN SOURCE8–24 GB VRAM
VRAM fit8–24 GB

Nerfstudio

The open framework for NeRF and Gaussian Splatting research.

OPEN SOURCE8–24 GB VRAM
VRAM fit8–24 GB

RunPod

On-demand GPU pods for ComfyUI, vLLM, training.

PAID8–80 GB VRAM
VRAM fit8–80 GB

F5-TTS

Zero-shot voice cloning TTS — 15 s of audio is enough.

OPEN SOURCE8–12 GB VRAM
VRAM fit8–12 GB

InvokeAI

Production-leaning SD studio with canvas & batch.

OPEN SOURCE8–16 GB VRAM
VRAM fit8–16 GB

AnimateDiff

Add motion to any SD checkpoint via a motion module.

OPEN SOURCE8–12 GB VRAM
VRAM fit8–12 GB

SwarmUI

Power-user front-end that wraps ComfyUI.

OPEN SOURCE8–24 GB VRAM
VRAM fit8–24 GB

MMAudio

Generate synchronized audio for any silent video.

OPEN SOURCE8–12 GB VRAM
VRAM fit8–12 GB

Instant-NGP

NVIDIA's seconds-to-train hash-grid NeRF.

OPEN SOURCE8–12 GB VRAM
VRAM fit8–12 GB

Bark

Suno's expressive transformer-based TTS.

OPEN SOURCE8–12 GB VRAM
VRAM fit8–12 GB

ComfyUI

The nodal workflow engine for serious diffusion.

OPEN SOURCE6–16 GB VRAM
VRAM fit6–16 GB

TripoSR

Single-image to 3D mesh in under a second on a 4090.

OPEN SOURCE6–8 GB VRAM
VRAM fit6–8 GB

Stable Audio Open

Open-weight text-to-audio — 47-second sound effects and music.

OPEN SOURCE6–8 GB VRAM
VRAM fit6–8 GB

Stable Zero123

Novel-view synthesis — generate any angle from a single image.

OPEN SOURCE6–8 GB VRAM
VRAM fit6–8 GB

Diffusers

Hugging Face's go-to library for every diffusion model.

OPEN SOURCE4–12 GB VRAM
VRAM fit4–12 GB

Topaz Video AI

GPU-accelerated upscaling, frame-interp, denoise.

PAID · $2994–12 GB VRAM
VRAM fit4–12 GB

WhisperX

Whisper + speaker diarisation + word-level timestamps.

OPEN SOURCE4–8 GB VRAM
VRAM fit4–8 GB

Tabby

Self-hosted, GPU-accelerated coding autocompletion.

FREEMIUM · $19/MO4–8 GB VRAM
VRAM fit4–8 GB

Fooocus

Stable Diffusion XL, dialed to one button.

OPEN SOURCE4–8 GB VRAM
VRAM fit4–8 GB

Tortoise TTS

Slow, but the quality is worth the wait.

OPEN SOURCE4–8 GB VRAM
VRAM fit4–8 GB

Transformers

The library every LLM ships against first.

OPEN SOURCE2–24 GB VRAM
VRAM fit2–24 GB

OpenAI Whisper

The reference open-source speech-to-text model.

OPEN SOURCE2–10 GB VRAM
VRAM fit2–10 GB

faster-whisper

Whisper, 4× faster, same accuracy. CTranslate2 backend.

OPEN SOURCE2–6 GB VRAM
VRAM fit2–6 GB

FaceFusion

The most active open face-swap toolkit.

OPEN SOURCE2–8 GB VRAM
VRAM fit2–8 GB