tandemcompute: what are you trying to run?
compute

High-performance compute. Hosted in Ireland.

Dedicated NVIDIA Blackwell GPUs, or open models through one API. Both run on hardware we operate in Ireland.

A tandemcompute pod beside a host building
two ways in

Your own GPUs, or our model API.

Same hardware, same Irish sites, same zero-retention terms. Choose dedicated capacity you control, or call open models by the token.

for the enterprise

Dedicated sovereign compute

Your own physically isolated RTX PRO 6000 GPUs, hosted in Ireland and operated by us. For work where data privacy, compliance and performance are not negotiable.

  • Physically isolated, single-tenant hardware
  • Inference and data stay in Ireland
  • Zero data retention by design
  • Fixed monthly or contracted pricing
  • Any model, full control over the stack
  • Bare metal, private AI and the API on one account
for developers

Sovereign model API

Open models behind one OpenAI-compatible API, on our own GPUs in Ireland. Switch from a closed frontier API by changing one line, and pay a fraction of the price.

  • Drop-in OpenAI compatibility: one line of code
  • A fraction of the cost of closed frontier APIs
  • The right open model for each job, not one size for all
  • Zero data retention on every request
  • Pay per token, or commit to a monthly volume
  • Shared API, or a dedicated endpoint when you grow
inference.pyopenai-compatible
from openai import OpenAI

# Point your existing client at tandemcompute.
# Inference in Ireland, zero data retention.
client = OpenAI(
    base_url=TANDEMCOMPUTE_API_URL,  # issued with your API key
    api_key="YOUR_API_KEY",
)

reply = client.chat.completions.create(
    model="qwen/qwen3.6-35b-a3b",
    messages=[{"role": "user", "content": "Summarise this contract."}],
)

Sovereign by default

Inference and data stay in Ireland, under EU jurisdiction. Zero data retention: prompts and outputs are never stored or used for training.

Dedicated when it matters

Whole GPUs, never sliced or oversubscribed, for bare metal and dedicated endpoints. Start on the shared API and move to your own hardware on the same API.

Priced below the frontier

Open models at a fraction of what closed frontier APIs charge. Contract rates for committed capacity and volume.

Every pod’s heat goes to the building beside it, so the same energy is used twice.

gpu instances

Accelerated compute, powered by NVIDIA.

One GPU across the fleet, so every site runs the same way. From a single card to whole liquid-cooled nodes.

NVIDIA RTX PRO 6000 Blackwell Server Edition: eight GPUs in a server
rtx pro 6000 blackwell server editionimage: nvidia
NVIDIADell

NVIDIA RTX PRO 6000 Blackwell

A universal GPU for AI inference, fine-tuning, rendering and simulation. 96 GB of memory with fifth-generation Tensor Cores and fourth-generation RT Cores, in Dell servers at every site.

96 GBGDDR7 with ECC per GPU
BlackwellCurrent NVIDIA architecture
1 to 8GPUs per instance, or whole nodes
LiquidDirect-to-chip cooling

More GPU types join the fleet as demand requires.

sovereign model api

Open models, kept in Ireland.

An OpenAI-compatible API running the best open models on our own GPUs in Ireland. Your data never leaves the country and is never stored.

Data stays in Ireland

Inference runs on tandemcompute hardware in an Irish Tier III facility.

Zero data retention

Prompts and outputs are never stored, and never used for training.

Drop-in OpenAI compatibility

Point your existing OpenAI client at tandemcompute. One line of code changes.

A fraction of the cost

Well below closed frontier APIs, with the right model for each job.

Committed volumes

Monthly token commitments, or dedicated endpoints at contract rates.

One supplier

The same account covers bare metal, private AI and the API.

on the shared api
ModelTierParametersContextPer 1M tokens Qwen3.6-35B-A3Bfast and everyday35B, 3B active262Kon request gpt-oss-120bfast and everyday117B131Kon request Qwen3.8-27Bmid-size27B262Kon request GLM 5.3 Flashmid-size320B1Mon request

Indicative pricing on request. The flagships (GLM 5.3, Kimi K3, Qwen3.8-Max) run on dedicated endpoints at contract rates. See every model.

cpu instances

The rest of the pipeline, beside your GPUs.

CPU-only instances on the same private network as your GPU instances, so GPU capacity stays free for training and inference.

see cpu pricing →

AI applications and agents

App backends, serving logic and orchestration that sit alongside your GPU workloads.

Data preprocessing

Tokenisation, feature engineering and data loading on dedicated CPU.

Offline and batch inference

Bulk evaluations, document processing and inference that is not latency-critical.

Automation and tooling

Evaluation harnesses, scheduled jobs, pipeline scripts and CI/CD.

the platform

More than instances. Run, build, scale.

Instances, storage and networking underneath. Models, jobs and private AI on top. All in Ireland, on infrastructure we operate.

built with NVIDIADell RTX PRO 6000 Blackwell GPUs on Dell servers

The planned launch offering. Availability is confirmed as each site comes online.

getting started

Tell us what you are trying to run.
We will tell you what it takes.

One conversation covers capacity, contract pricing and your workload. Contracted capacity is allocated in order of enquiry as each site comes online.

Reply within two working days. No account, no card, no commitment.

Talk to us.

Tell us what you are trying to run, in plain language. We come back with how we would run it, when, and a price.