dedicated deployment

Open-source LLMs in one-click On GPU Grid

Get Private API, In 3 steps

Configure, choose your hardware, and ship a private inference endpoint — no infrastructure to manage.

01

Choose a model

Pick from open-weight models, then dial in the precision and context length that match your latency and cost targets.

FP16 · FP8 · INT4Up to 128K contextOpen weights
02

Select a GPU

Match your workload to the right accelerator — compare VRAM, datacenter region, and price per hour before you commit.

24–80 GB VRAMUS · EU · APACfrom $0.49/hr
03

Deploy & get an API

Launch in one click and get a secure, OpenAI-compatible HTTPS endpoint you can call from anywhere.

Private HTTPSAutoscalingLive in <10 min
Endpoint live

OpenAI compatible API

Point your existing OpenAI-compatible client at HexGrid — keep the model private, run it on dedicated GPUs, no rewrites.

SSL CertificateBearer AuthObservabilityRate Limiting

Swap one line — set base_url bearer_token to your endpoint. Everything else stays the same.

/v1/chat/completions
curl https://api.hexgrid.cloud/v1/chat/completions \
  -H "Authorization: Bearer $HEXGRID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-3.3-70b-instruct",
    "messages": [
      { "role": "user", "content": "Explain private GPU inference." }
    ]
  }'

Every GPU, Fully Optimized

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

 Fully Certified GPU Partners

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

GPU partners
Certified

SOC 2, ISO 27001, GDPR-ready infrastructure partners

Regions
US · EU · APAC

Deploy closer to users and data residency needs

GPU capacity
200+

A100, H100, L40S-class servers across providers

Deployment path
<10 min

From model selection to private HTTPS endpoint