Why this machine
A sixteen-core desktop platform and a 24GB card, which is the point at which local fine-tuning and 13B-class serving stop being an experiment. Two memory channels rather than eight and no error correction: the trade that makes it affordable, and the reason it is not the machine for a fortnight-long run.
Processing power- 16 cores
- 1 processor · 32 threads
- CPU cores handle calculations, simulations and tasks running in parallel.
Working memory- 64GB
- DDR5
- RAM holds the data your applications are using, from project files to active datasets.
Graphics & acceleration- 1 GPU
- 1 × GeForce RTX 4090 24GB Twin Edge · 24GB per card
- Dedicated GPU memory supports graphics, rendering and compatible AI workloads.
Local storage- 3TB
- 2 drives · Includes NVMe SSD · Total drive capacity
- Storage gives your projects, datasets and results a home between sessions.
From your data to your next result
StoreFiles & datasets
LoadActive working data
ProcessTasks & calculations
AccelerateGPU workloads
What it is for
We recommend this machine for one workload. Each one explains what the work actually stresses.
Included with every system
- 72 hours of burn-in before it leaves us
- Delivered across Pakistan from Islamabad, by courier
- Warranty handled here rather than shipped abroad
- One invoice and one point of contact for the whole machine
Measured
- Threads
- 32
- Accelerators
- 1
- BF16 throughput
- 165 TFLOPS
- Storage
- 3TB
- Peak draw
- 940W
- At 230V
- 4.1A
- Heat rejected
- 2,668 BTU/hr
- Deployment
- Tower, desk-side
Every figure above is computed from the parts list, using the same summary the configurator runs. Power is the sum of the parts at their rated draw with the usual headroom, not a nameplate figure.