AI & Machine Learning
Training, fine-tuning, inference
End-to-end AI lifecycle on a single class of host. Fine-tune 70B models, serve real-time inference.
Scale GPU workloads faster with dedicated infrastructure, enterprise SLA support, low-latency networking, and flexible deployment options designed for modern AI teams and enterprises.
From early-stage AI startups to Fortune 500 R&D labs.
TECHNICAL SPECIFICATIONS
Built for India-based enterprises and developers, our platform enables faster deployment, dedicated GPU availability, enterprise-grade networking, and scalable infrastructure without the operational complexity of managing on-premise GPU clusters.
How the RTX Pro 6000 compares against the previous generation across the workloads our customers actually run.
2.4× faster training | 38% lower spend per epoch | one-host capacity for 70B-class models
3.1× higher throughput | sub-100ms p99 | INR-billed at ₹0.18 per 1k tokens
Render farms shrink from 80 nodes to 24 | 5th-gen RT cores | OpenUSD native
4× larger problem sizes | FP64 native | data-residency-compliant by default
2.7× faster image generation | dual-encoder live broadcast | TensorRT 10 ready
3.1× higher throughput | sub-100ms p99 | INR-billed at ₹0.18 per 1k tokens
What the spec sheet does not show: the operations posture behind every host. Indian DCs, named SREs, INR billing.
Mumbai BOM-1, Hyderabad HYD-2, Bengaluru BLR-1 interconnected 1 GBps/host on dark fibre.
Bare metal, virtualised or reserved. Switch between modes without re-provisioning.
Hourly, monthly, and custom enterprise tiers. INR-billed, no USD conversion fees.
| Feature | Starter AI ₹160 / hr | Enterprise AI ₹78,000 / month | Dedicated Cluster Custom — contact sales |
|---|---|---|---|
| GPU |
USE CASES
Six workload classes where the GPU pays for itself in weeks, not quarters.
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
Everything you wanted to ask about RTX Pro 6000 on HOST360, in one place.
Yes. The large VRAM capacity and enterprise-grade GPU architecture make it suitable for hosting and scaling large language model inference workloads.
Yes. Host360 provides dedicated RTX PRO 6000 deployments for enterprise AI, rendering, and HPC environments.
The platform supports CUDA, TensorRT, PyTorch, TensorFlow, Docker, Kubernetes, and other modern AI tooling.
Host360 focuses on India-first infrastructure and low-latency enterprise deployment environments for Indian businesses and developer teams.
Yes. GPU deployments can be scaled based on workload growth, performance requirements, and multi-node deployment needs.
Yes. Enterprise support plans include deployment assistance, infrastructure guidance, monitoring support, and priority technical response.
We reply within 2 hrs · IST business hours
Deploy dedicated RTX PRO 6000 GPU resources with scalable cloud architecture, enterprise reliability, and India-focused support.
Every host has a named Site Reliability Engineer with a 7-minute first-response target.
Three-DC India footprint with disaster-recovery pairing. INR-resident, DPDP-aligned.
Infra specialists experienced in AI deployment, HPC environments, & GPU optimization.
Single-tenant hosts. No noisy neighbours, no opportunistic preemption.
| 2× RTX PRO 6000 |
| 4× RTX PRO 6000 |
| vCPU | 16 vCPU | 32 vCPU | Custom |
| RAM | 256 GB | 512 GB | Up to 2 TB |
| NVMe Storage | 4 TB NVMe | 8 TB NVMe | Tiered NVMe + Object |
| Bandwidth | 10 GBps unmetered | 25 GBps unmetered | 100 GBps + private interconnect |
| SLA | 99.95% monthly | 99.95% monthly · named SRE | 99.99% with credit memo |
| Deployment Type | — | — | — |
Run diffusion models, multimodal AI pipelines, and content generation workflows efficiently.
DEPLOYMENT
From plan to first inference call. No tickets, no waiting room.
“We serve diagnostic image inference on Mumbai BOM-1. p99 latency 62ms, INR-billed at ₹0.18 per 1k tokens. The team won't touch a hyperscaler again.”
Neha Kapoor
“Genomics workloads burst hard. HOST360's reserved + on-demand mix means our 12-month committed base sits under 30% of spend, the rest spikes only when we sequence.”
Aarav Mehta
“Quant Monte Carlo on 4× NVLinked RTX Pro 6000 finishes in the 90-minute window the trading desk demands. RBI-aligned audit trails came out of the box.”
Rohan Desai
“DPDP Act readiness was the deal-breaker. HOST360 had a dated compliance brief, a CERT-In auditor on file, and the data-residency posture was answerable down to the rack.”