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.
Latest Generation
NVIDIA RTX ewfwf efegegqgeg afqeqe PRO 6000
Scale GPU workloads faster with dedicated infrastructure, enterprise SLA support, low-latency networking, and flexible deployment options designed for modern AI teams and enterprises.
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
TECHNICAL SPECIFICATIONS
Accelerated GPU Infrastructure for Modern AI & Compute Workloads
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.
- GPU ArchitectureNVIDIA Blackwell
- GPU Memory96 GB GDDR7 ECC
- Memory BandwidthUp to 1.6 TB/s
- CUDA Cores24,064 cores
- PCIe SupportPCIe Gen5 x16
- AI Framework SupportCUDA, TensorRT, PyTorch, TensorFlow
- Tensor Cores5th Generation
- Memory Interface512-bit
Performance, By Workload.
How the RTX Pro 6000 compares against the previous generation across the workloads our customers actually run.
What we accelerate
- Llama-3 70B fine-tune in 11 hours (vs 26 on Ada)
- 8K-context RAG fine-tunes with FP8 precision
- Distributed training across 4-way NVLink
Outcomes
2.4× faster training | 38% lower spend per epoch | one-host capacity for 70B-class models
What we accelerate
- 5,200 TPS on Mistral 7B (INT4) per GPU
- p99 latency under 80ms across the fleet
- Sovereign Vector DB co-located on host
Outcomes
3.1× higher throughput | sub-100ms p99 | INR-billed at ₹0.18 per 1k tokens
What we accelerate
- Blender 4.x Cycles 8K scenes — 4.2× speedup
- Unreal Engine 5 Lumen + Nanite, real-time
- Octane 2026 with OpenUSD pipelines
Outcomes
Render farms shrink from 80 nodes to 24 | 5th-gen RT cores | OpenUSD native
What we accelerate
- 1.7B-cell CFD runs on a single host
- 142 TFLOPS FP64 for climate + quantum chemistry
- Genomics pipelines on Indian-resident data
Outcomes
4× larger problem sizes | FP64 native | data-residency-compliant by default
What we accelerate
- SDXL — 38 images/s at 1024²
- 8K · 60p AV1 real-time encode
- Image-to-video diffusion at production scale
Outcomes
2.7× faster image generation | dual-encoder live broadcast | TensorRT 10 ready
Delivered through
TensorRT 10
Inference Endpoints
KV-cache offload
What we accelerate
- 5,200 TPS on Mistral 7B (INT4) per GPU
- p99 latency under 80ms across the fleet
- Sovereign Vector DB co-located on host
Outcomes
3.1× higher throughput | sub-100ms p99 | INR-billed at ₹0.18 per 1k tokens
Delivered through
TensorRT 10
Inference Endpoints
KV-cache offload
2 / 5
WHY HOST360
GPU Infrastructure That Earns the SLA, Not Just Serves It.
What the spec sheet does not show: the operations posture behind every host. Indian DCs, named SREs, INR billing.
Lower-latency Indian backbone
Mumbai BOM-1, Hyderabad HYD-2, Bengaluru BLR-1 interconnected 1 GBps/host on dark fibre.
Flexible deployments
Bare metal, virtualised or reserved. Switch between modes without re-provisioning.
Named-SRE responsiveness
Every host has a named Site Reliability Engineer with a 7-minute first-response target.
Region availability
Three-DC India footprint with disaster-recovery pairing. INR-resident, DPDP-aligned.
Technical Expertise
Infra specialists experienced in AI deployment, HPC environments, & GPU optimization.
Dedicated resources
Single-tenant hosts. No noisy neighbours, no opportunistic preemption.
DEPLOYMENT
Deploy RTX PRO 6000 Infrastructure in 4 Steps, About 10 Minutes.
From plan to first inference call. No tickets, no waiting room.
PRICING & PLAns
Enterprise GPU Cloud Plans Side By Side
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 | 1× RTX Pro 6000 | 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 | — | — | — |
USE CASES
What Customers Actually Run on the RTX Pro 6000
Six workload classes where the GPU pays for itself in weeks, not quarters.
Generative AI
LLM workloads, RAG pipelines
Run diffusion models, multimodal AI pipelines, and content generation workflows efficiently.
Media & Rendering
Blender, Unreal, Octane
Support rendering farms, animation pipelines, VFX workloads, and real-time visualization environments.
Healthcare & Research
Simulation & analysis
Enable GPU-accelerated simulations for engineering, research, financial modeling, and computational science.
Engineering & CAD
Visualization workloads
Real-time visualization for product engineering, AEC, and digital-twin pipelines.
Financial Modeling
Quantitative compute
Monte Carlo at scale, real-time risk analytics, RBI-compliant audit trails.
Building something we have not listed? We have probably already run a benchmark.
Talk To An EngineerAI TEAMS USING HOST360
Operators Who Already Moved Off The Hyperscalers
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
Questions, Answered.
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.
Talk To Us
We reply within 2 hrs · IST business hours
Deploy Enterprise AI Infrastructure with NVIDIA RTX PRO 6000
Deploy dedicated RTX PRO 6000 GPU resources with scalable cloud architecture, enterprise reliability, and India-focused support.