NETWORKING
Load Balancer
Distribute inference traffic across multiple GPU nodes.
NVIDIA RTX 8000 GPU CLOUD
Power Advanced Visual Computing
The RTX 8000 carries 48GB of ECC GDDR6 — the same memory footprint as GPUs costing several times more. If your bottleneck is scene size, model size or dataset size rather than raw training throughput, this is the most cost-efficient GPU in the Host360 fleet. Deployed from Indian data centres, billed in rupees, with no egress surprises.
TRUSTED BY
AI Teams, Studios & Enterprises Run on Host360
From early-stage AI startups to Fortune 500 R&D labs.
Vyapar AI
Krisha Health
BharatPay
Atlas Genomics
Suraksha Insurance
Lumen Edtech
Drishti Manufacturing
Federal Exchange of India
Vyapar AI
Krisha Health
BharatPay
Atlas Genomics
Suraksha Insurance
Lumen Edtech
Drishti Manufacturing
Federal Exchange of India
Vyapar AI
Krisha Health
BharatPay
Atlas Genomics
Suraksha Insurance
Lumen Edtech
Drishti Manufacturing
Federal Exchange of India
Vyapar AI
Krisha Health
BharatPay
Atlas Genomics
Suraksha Insurance
Lumen Edtech
Drishti Manufacturing
Federal Exchange of India
PLATFORM CHARACTERISTICS
What You Actually Get When You Provision An RTX 8000
Specs only matter if you know what they unlock. The RTX 8000 pairs a 48GB frame buffer with 72 RT Cores and 576 Tensor Cores, which means it can hold an entire production scene, a full CAD assembly or a quantised mid-size language model in memory — no tiling, no out-of-core paging, no splitting the job across two cards.
- GPU ArchitectureNVIDIA Turing
Is the RTX 8000 the Right GPU for You?
Most GPU pages tell you everything is a fit. Here's the real answer, so you don't over-buy or under-buy.
Choose RTX 8000 When:
Consider the Following Points Before Making Decision.
- You Render, Visualise, Simulate or Serve Inference More Than You Train
- Your Workload is Memory-Bound, Not Compute-Bound
- You Need Many GPU Seats at a Predictable Cost — Vdi, Studio Pipelines, Lab Environments
- You're Running Mature Professional Applications With Certified Driver Requirements
- Cost per GPU-hour Matters More Than Time-to-Result
BUSINESS ENABLEMENT
Organize and Deliver Enterprise Outcomes
Create structured processes that support planning, coordination, execution, and continuous improvement across professional environments.
ORGANIZATIONAL PRIORITIES
Choose the Right Business Objectives
Choose an operational approach based on organizational goals, stakeholder needs, and long-term business priorities.
| Feature | Operational Excellence ₹160 / hr | Knowledge Enablement ₹78,000 / month | Strategic Growth Custom — contact sales |
|---|---|---|---|
| Core Focus |
ENTERPRISE INFRASTRUCTURE
What Teams Usually Deploy Alongside RTX 8000
Enhance RTX 8000 deployments with supporting cloud services for networking, storage, security, and infrastructure management.
WHY HOST360
Why Teams Move Their GPU Workloads Here
Sovereign Infrastructure
Every RTX 8000 workload runs inside Indian data centres. Full data residency, no cross-border transfer.
30–40% Below Hyperscalers Pricing
Significantly lower GPU compute costs than AWS, Azure and GCP — priced in INR
Built on Nutanix, Not Improvised
Host360 is an authorised Nutanix Cloud Partner. The same HCI platform that runs core banking and state data centre workloads across India
Pre-Built AI Stack, Zero Setup Tax
PyTorch, TensorFlow, CUDA, Jupyter and LLM frameworks ready on day one.
Flexible Consumption
On-demand cloud for bursts, dedicated bare-metal for sustained runs — same portal, same support.
AI TEAMS USING HOST360
What Teams Say After Six Months
Production quotes from CTOs running RTX Pro 6000 capacity in Indian DCs.
200+
Indian operators
99.99%
Monthly uptime
24/7
Named SRE
Frequently asked
RTX 8000 FAQs
Learn about NVIDIA RTX 8000 infrastructure, deployment options, and enterprise GPU environments.
The NVIDIA RTX 8000 is a professional data-centre GPU built on the Turing architecture, with 48 GB of ECC GDDR6 memory, 4,608 CUDA cores, 576 Tensor Cores and 72 RT Cores. It was designed for memory-intensive professional work — rendering, visualisation, simulation and AI inference — rather than large-scale model training.
Architecture, engineering, manufacturing, media, design, research, and enterprise organizations commonly deploy RTX 8000 infrastructure.
Yes. RTX 8000 resources can be provisioned through cloud infrastructure for flexible and scalable access.
Yes. RTX 8000 supports advanced visualization, simulation, rendering, and professional computing environments.
Yes. RTX 8000 deployments commonly integrate with networking, storage, security, and management platforms.
Additional GPU resources can be added as project requirements and infrastructure demands grow.
Talk To Us
We reply within 2 hrs · IST business hours
Get RTX 8000 Capacity Sized for Your Actual Workload
Tell us what you're rendering, simulating or serving, and we'll come back with a GPU count, an instance shape and a price — not a brochure. If a different GPU is the better fit, we'll tell you that instead.