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.

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

Deploy Models in One-click

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


Highest Throughput Per Dollar

Our engine squeezes every token of throughput from your hardware — so you ship faster and pay for fewer GPU hours.

3.2×
More throughput
Tokens / sec on the same GPU
Baseline
Optimized
60%
Cost savings per token
Less GPU hours per request
Baseline
Optimized
94%
GPU utilization
Up from 52% on a stock deploy
Baseline
Optimized

Built on top of

vLLM
Paged-attention serving
SGLang
Structured generation
TensorRT-LLM
Fused GPU kernels
Dynamo
Quantized deployment

 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