RDP GX8 HGX 8-GPU Server
8-GPU HGX baseboard for serious training — 70B–405B at scale, NVIDIA-Certified and Make-in-India.
- Architect-validated config & cluster reference design
- INR pricing · GST · available on GeM
- 3-year pan-India onsite SLA & install
Overview
RDP GX8 HGX 8-GPU Server is a flagship HGX baseboard system for large-model training — the training workhorse of the GPU Servers range and the building block of a multi-node GPU cluster.
Eight NVSwitch-connected H100 SXM GPUs and 640 GB HBM3 train and fine-tune 70B–405B models on a single node, and scale out over a 400G InfiniBand fabric.
Key specifications
| GPUs | 8× NVIDIA H100 80GB SXM5 (HGX) |
| GPU memory | 640 GB HBM3 |
| GPU interconnect | NVSwitch (900 GB/s all-to-all) |
| CPU | 2× Intel Xeon Platinum 8568Y+ |
| System memory | 2 TB DDR5 ECC (up to 4 TB) |
| Storage | 2× 1.92 TB NVMe + 8× 3.84 TB NVMe |
| Networking | 8× 400G InfiniBand + 2× 100G |
| Cooling | Air or direct liquid (DLC) |
| Form factor | 5U rackmount |
| Power | 6× 3000W redundant (3+3) |
| Management | BMC · Redfish · IPMI 2.0 |
| OS / stack | Ubuntu 22.04, RHEL 9 · NVIDIA AI Enterprise |
Spec values are representative for this preview and bind to the corrected live product data at wiring.
Workload fit
70B–405B training and large-scale fine-tuning on a single node, and the unit cell of a multi-node GPU cluster over the 400G InfiniBand fabric.
Why RDP GPU Mart
- Make in India OEM — 28,000 sq ft Hyderabad facility, 14 years, 300,000+ devices shipped.
- Sovereign-ready: India data residency (DPDP), MeitY-recognised, ISO 27001 / SOC 2 paths.
- INR-transparent: GST invoice, HSN 8471, CGST/SGST or IGST, pan-India onsite SLA.
- Available on GeM for government and PSU procurement.
FAQ
How is it billed and supported?
INR with GST (HSN 8471), CGST/SGST or IGST by state, EMI/lease/GPUaaS options, and 3-year pan-India onsite support. Available on GeM.
Can I start as a pilot and scale to a cluster?
Yes — the fabric and management stack let you add nodes and a head node later. Talk to an architect for the reference design.
What software stack is included?
Ubuntu 22.04 / RHEL 9 with NVIDIA AI Enterprise, drivers and CUDA validated; Slurm/Kubernetes on request.
Other GPU Servers in this line
| GX4 4-GPU | GX4 Plus | GX4 Max | GX8 HGX | |
|---|---|---|---|---|
| GPUs | 4× L40S | 4× H100 PCIe | 4× H100 SXM | 8× H100 SXM |
| Model fit | up to 34B | 34B–70B | 70B | 70B–405B |
| Cooling | Air | Air | Air / DLC | Direct liquid |
| Price | Price on request | Price on request | Request a Quote | On request |
| View | View | View | Quote |
Pair it with
Designing a GPU cluster, not just one server?
Talk to our solution architects — multi-node fabric design, financing & GPU-as-a-Service, India-onsite SLA.