PRivate AI Cloud

Infrastructure for AI Builders

Deploy private LLMs and provision GPUs on demand — all from one platform.
Rent a GPU →Deploy a LLM →
MiniMax H3ComfyUI$0.60/hr
H100 SXM80GBStarts from$2.49/hr
Llama 3.3 70BvLLM endpoint$4.20/hr
A10080GBStarts from$1.29/hr
Wan 2.2 14BComfyUI$0.60/hr
L40S48GBStarts from$0.90/hr
Devstral Small 24BPrivate endpoint$1.80/hr
Gemma 4 31BSgLang endpoint$1.10/hr

Unlimited Videos on Private GPUs

Deploy MiniMax H3, Wan 2.2 or LTX Video into ComfyUI on your own private GPU.

What people make here

Finish the edit, not the setup.

It's the ComfyUI you already know, on a box only you can reach. Swap checkpoints, drop in LoRAs, install whatever node pack you found on GitHub last night, then queue a hundred seeds and walk away.

Music videos and visualisers

Queue a hundred seeds overnight. Wake up to a folder you can actually cut from.

Ad and product spots

Twenty versions of the hero shot before the client call, not after the deadline.

Anime, motion and VFX plates

Style-locked LoRAs, ControlNet passes, interpolation and upscale in one graph.

Camera movesCharacter consistencyPhysics that hold

Your workspace

MiniMax H3 on H100 SXM
comfy.hexgrid.cloud
Load Checkpointminimax_h3_video.safetensorsCLIP Text Encodeslow dolly through neon rain,35mm, shallow depth of fieldEmpty Latent Video1080p · 24fps · up to 10sKSamplersteps 30 · cfg 6.5sampler euler_aseed 84213907VAE Decodetiled · fp16Video Preview120 frames · 90s · next in queue
H100 SXM · 80 GB · queue 3

Weights, custom nodes and your output folder are already in place when the box comes up.

Weights preloaded
Install any custom node
Outputs persist
Nobody else on the box
Deploy ComfyUI →

No CUDA errors, no broken node packs, no laptop fans at 3am. Hexgrid keeps the machine warm; the weights, the graph and the footage stay yours.

Deploy Models in One-click

Private LLM deployments in minutes, train your model, and scale without managing servers. Dedicated hardware and complete isolation.

Browse all models →

Launch any GPU in 60 seconds

Choose dedicated hardware by the hour, connect over SSH, and run your own stack with full root access.

Use cases

Your GPU. Any workload.

Use the machine directly with the tools and execution model you already have.

01Model training

Run your own training code, checkpoints, and distributed stack.

02Fine-tuning

Use LoRA, QLoRA, or full-parameter workflows without a managed runtime.

03Batch compute

Process datasets, embeddings, media, or scheduled CUDA jobs.

04Custom workloads

Bring containers, notebooks, renderers, or any CUDA-compatible stack.

Shell access

H100 SXM ready
root@gpu.hexgrid.cloud
$ ssh root@gpu.hexgrid.cloudConnected to Hexgrid GPU Cloudroot@hexgrid:~# nvidia-smi --query-gpu=name --format=csv,noheaderNVIDIA H100 SXMroot@hexgrid:~#

Direct SSH access with your keys, containers, and startup scripts.

Browse all GPUs →

Bring any framework, container, or training script. Hexgrid provides the machine; everything above it stays yours.

 Certified Infrastructure

All our Datacenter partners are GDPR, ISO 27001, and SOC 2 Type II compliant.

Datacenters
Certified

SOC 2, ISO 27001, GDPR-ready infrastructure partners

Regions
US · EU · APAC

Deploy closer to users and data residency needs

GPU capacity
200+

B200, H200, H100, L40S-class servers across providers

Launch path
<1 min

From GPU selection to running pods