Assembled
Hand-built to your configuration, cable-managed and airflow-tuned for sustained GPU load.
AI workstations that work.
Every workstation is assembled, loaded with open models and benchmarked with BoltBeam on our bench before it ships. Unbox it, plug it in, and start using AI.
On-site setup in NYC
Qwen3.8-27B · NVFP4 ▾preinstalled
Write a SQL query for monthly revenue by customer from our orders table.
◆ Qwen3.8
Here's one that groups by month and customer:
SELECT customer_id,
date_trunc('month', created_at) AS month,
SUM(total) AS revenue
FROM orders
GROUP BY 1, 2
ORDER BY month, revenue DESC;Ask anything…
WORKS OUT OF THE BOX
01/You bring the work.
Your data, your code, your ideas.
Your data, your code, your ideas.
02/Your AI stays yours.
Nothing leaves the machine.
Nothing leaves the machine.
03/Nobody can switch it off.
No rate limits. No bans.
No rate limits. No bans.
From our bench
to your desk
We do the setup before it ships.
Installed
OS, drivers, CUDA, PyTorch and Docker, plus open models sized to your GPUs, installed and version-matched.
Benchmarked
BoltBeam measures each GPU's real limits, then runs real models against them.
Turnkey
Power on, log in, and the models are already there.
// Benchmarked with BoltBeam
Proof it works, before you pay for shipping
We bench every machine with BoltBeam, our open-source inference auditor. It measures your exact GPUs' bandwidth and compute peak on the chip, not off a data sheet, then runs real models in a real engine and shows where every millisecond of a token goes, and how far each part is from what the chip can do.
The rows have to add up to the measured time, and a second engine has to agree. Your unit's report ships in the box, and BoltBeam comes installed so you can re-run it any time. If it doesn't hit its numbers, it doesn't leave.
⚡ BoltBeamqwen-01
Setup
- Chip
- 1 × RTX PRO 6000
- Engine
- vLLM
- Model
- Qwen3.8-27B · NVFP4
- Workload
- decode · batch 1
Where the token goes
GPUTB/s% peak
gpu01.6893.8%
What next
60.4 tok/s · 91% of the limit
↑↓ move · enter pick · q quit
BENCHMARK PASSED
Built for
your model
Every build is sized to run a specific open model. It arrives with that model preinstalled, ready to use.
Qwen3.8-27B
Runs Qwen3.8-27B in AWQ 4-bit, using AMD's own quantized build.
Recommended for small businesses on a budget. The lowest price per gigabyte of GPU memory.
- GPU
- 2 × Radeon AI PRO R9700
- GPU RAM
- 64 GB · 1.28 TB/s
- CPU
- Ryzen 9 9950X
- Memory
- 128 GB DDR5
- Storage
- 4 TB NVMe
Burn-in tested. BoltBeam benchmarks NVIDIA builds today.
Qwen3.8-27B
Runs Qwen3.8-27B in NVFP4, NVIDIA's own 4-bit build for Blackwell, with room for long context.
Recommended for small businesses with more people using it at once. CUDA runs everything out of the box.
- GPU
- 1 × RTX PRO 6000 Blackwell
- GPU RAM
- 96 GB · 1.79 TB/s
- CPU
- Ryzen 9 9950X
- Memory
- 128 GB DDR5
- Storage
- 4 TB NVMe
Benchmarked with BoltBeam before it ships.
DeepSeek V4.1 Flash
Runs DeepSeek V4.1 Flash, the 552B-parameter model, with part of it held in system memory.
Recommended for the largest open model, in-house.
- GPU
- 2 × RTX PRO 6000 Blackwell Max-Q
- GPU RAM
- 192 GB · 3.58 TB/s
- CPU
- Threadripper PRO 9000
- Memory
- 512 GB DDR5 ECC
- Storage
- 8 TB NVMe
Benchmarked with BoltBeam before it ships.