QUASAR 8× RTX PRO 6000 Blackwell Edge Micro Data Center

Overview

The QUASAR 8× RTX PRO 6000 Blackwell Edge Micro Data Center is a turnkey, self-contained AI data centre — 8× RTX PRO 6000 Blackwell Server Edition (768 GB GDDR7) pre-integrated with integrated sealed cooling, UPS, power distribution, physical security and remote monitoring in a sealed enclosure. It places real AI capacity where there is no built data centre — a campus, remote site, or a harsh/outdoor environment — and runs private AI on-premises, in INR, on a GST invoice.

Engineered to remove the need to build a server room, it bundles the GPU servers, networking, integrated sealed cooling, battery backup and DCIM monitoring into one validated unit — delivered, integrated and burned-in as a single SKU with one warranty and one support contract.

Key highlights

• 8× RTX PRO 6000 Blackwell · 768 GB GDDR7 — real AI capacity for fine-tuning and inference, anywhere.
• Self-contained enclosure — GPU servers, networking, integrated sealed cooling, UPS, PDU, fire suppression and security in one unit.
• No server room required — deploy with just site power and network; sealed and ruggedized for harsh or outdoor sites.
• 4× Intel Xeon 6 + 1 TB DDR5 ECC — host compute and memory matched to 8 GPUs.
• 160 TB NVMe NVMe + 2× 25 GbE — local storage and high-throughput networking.
• DCIM remote monitoring + BMC/IPMI — full remote management of power, cooling, environment and compute.
• On-prem data sovereignty — data and models stay at the site; DPDP-friendly, air-gappable.
• Make-in-India OEM — predictable INR pricing, GST tax invoice (HSN 8471), pan-India onsite support, GeM-procurable.

AI workload fit (what it actually runs — honestly)

• Local fine-tune & inference (primary): fine-tune and serve up to 70B-class models, and host many models, at the site.
• RAG & agentic: private on-site RAG and agent back-ends.
• Vision, multimodal & agentic: production AI services co-located with operations.
• Engineering note: the RTX PRO 6000 Blackwell Server Edition (96 GB GDDR7, PCIe, no NVLink) is sized for fine-tuning and serving up to 70B-class models data-parallel — not large-scale pre-training; the value is a sealed, self-cooled AI site you can place in harsh environments.

AI workload positioning

This sits at the deploy-anywhere stage: a complete AI site in a box. With 768 GB GDDR7 across 8 GPUs plus its own power and cooling, it is sized to sustain real local AI where there is no data centre — the owned alternative to backhauling to the cloud or building a server room.

Industry use cases

• Government & defence — a deployable, air-gapped sovereign AI site.
• Manufacturing & energy — an AI site on the campus or at a remote/rugged facility.
• Telecom — regional AI capacity at the network edge.
• Healthcare — an on-site clinical AI enclosure keeping PHI in the building.
• Neocloud / providers — rapidly-deployable regional GPU capacity.
• Disaster-recovery & events — temporary, self-powered AI capacity.

Performance — and how to be sure

We don’t publish inflated peak numbers. The honest picture: 768 GB GDDR7 across 8× RTX PRO 6000 Blackwell in a self-cooled enclosure is sized for local fine-tuning and inference. Want certainty? Request a free benchmark of your models on this exact configuration before you buy; we’ll send back real performance plus the power and cooling envelope.

Series & upgrade path

• QUASAR (performance micro-DC tier) — this.
• Capacity ladder: half-rack pod → single-rack pod → dual-rack pod → containerized → modular data center.
• When to step up: for more capacity, move to a larger containerized or modular RDP data center — talk to an architect about the site.

On-prem vs cloud — the TCO case

A self-contained pod removes both the cost of building a server room and the recurring cost of cloud: you own the compute, power and cooling as one asset, with no egress and full data residency. RDP pricing is fixed in INR with a GST input-credit-eligible invoice — ask for a 3-year TCO comparison including facility savings.

Software & day-one readiness

Ships pre-integrated and validated: NVIDIA driver, CUDA, cuDNN, NCCL, Docker and NVIDIA Container Toolkit, with Kubernetes/Slurm, PyTorch and vLLM / Triton / TensorRT-LLM on Ubuntu LTS, plus DCIM monitoring. Optional managed operations.

Power, cooling & rack integration

A ruggedized sealed edge enclosure with integrated sealed cooling, integrated UPS, PDU and fire suppression — it provides its own thermal and power envelope; you supply site power and network. (Exact power draw, BTU, battery runtime and footprint confirmed in the design package.) Full DCIM and out-of-band management.

Deployment, warranty & support

• Made to order, integrated and burned-in in India; lead time confirmed at quote.
• Delivered as one unit: GPU servers, networking, cooling, UPS/PDU, security, monitoring, and the pre-installed AI software stack.
• Onsite warranty + AMC with pan-India coverage, site-level support and an RMA/escalation path (exact terms confirmed at quote).

Why RDP

14 years of Make-in-India infrastructure and 300,000+ devices shipped. Indian OEM, INR pricing, GST tax invoice (HSN 8471), pan-India onsite engineers, GeM availability, and DPDP / sovereign-AI-ready deployment.

Buy with confidence

This is a turnkey AI data centre in an enclosure, made to order — talk to an RDP solution architect, size the capacity, cooling and power for your site, get a 3-year TCO, and benchmark your own models before you commit. Request a quote to begin.

Specifications