Fusion Rack AI 200
- Processor
- AMD 64 Core Processor
- Memory
- 384GB High speed memory
- Video memory
- HPE 96 GB Vram graphics card
Why this machine
64 cores, 384GB and two 48GB accelerators in the same chassis as the 300, with six bays left free. Best for serving models, and you can grow into the 300 later instead of replacing it.
Made for your workflow
Performance at a glance
Explore the hardware behind your next project. Real capacity, explained at a glance.
- Processing power
- 64 cores
- 2 processors · 128 threads
- CPU cores handle calculations, simulations and tasks running in parallel.
- Working memory
- 384GB
- DDR5 · ECC error correction
- RAM holds the data your applications are using, from project files to active datasets.
- Graphics & acceleration
- 2 GPUs
- 2 × L40S 48GB (HPE OEM) · 48GB per card
- Dedicated GPU memory supports graphics, rendering and compatible AI workloads.
- Local storage
- 17.28TB
- 6 drives · Includes NVMe SSD · Total drive capacity
- Storage gives your projects, datasets and results a home between sessions.
Hardware platform
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
- 128
- Accelerators
- 2
- BF16 throughput
- 724 TFLOPS
- Storage
- 17.28TB
- Peak draw
- 2,007W
- At 230V
- 8.7A
- Heat rejected
- 6,012 BTU/hr
- Deployment
- 4U rack
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.
