48 GB of ECC memory, third-generation Tensor Cores and hardware ray tracing in a single card — deployed from Host360's Indian data centres. Built for teams who need serious GPU memory without H100 economics.
From early-stage AI startups to Fortune 500 R&D labs.
PLATFORM CHARACTERISTICS
NVIDIA A40 supports organizations operating visualization platforms, virtual workstations, design applications, and graphics-intensive environments. It integrates into enterprise infrastructure requiring professional GPU resources.
Host360 delivers NVIDIA A40 as both on-demand cloud instances and dedicated bare-metal servers, running on our Nutanix HCI-powered public cloud inside Indian Tier III data centres. You choose the consumption model; the portal, the support team and the SLA stay the same.
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Choose an NVIDIA A40 deployment approach based on organizational goals, user requirements, and operational outcomes.
| Feature | Workforce Enablement ₹160 / hr | Project Delivery ₹78,000 / month | Service Expansion Custom — contact sales |
|---|---|---|---|
| Success Measure |
KEY BENEFITS
A40 GPUs sit inside a complete cloud portfolio — object storage, block storage, VPC and micro-segmentation, load balancing, Backup-as-a-Service and DRaaS.
Every A40 workload runs inside Indian data centres. Full data residency, no cross-border transfer.
Significantly lower GPU compute costs than AWS, Azure and GCP — priced in INR
A40 capacity runs on Nutanix hyperconverged infrastructure with multi-AZ high availability.
PyTorch, TensorFlow, CUDA, Jupyter and LLM frameworks ready on day one.
Infrastructure leads on what changed after moving A40 workloads into Indian data centres.
200+
Indian operators
99.99%
Monthly uptime
24/7
Named SRE
FREQUENTLY ASKED QUESTIONS
Learn about NVIDIA A40 infrastructure, deployment options, and enterprise usage considerations.
NVIDIA A40 is a professional data center GPU commonly used for visual computing, graphics-intensive applications, and accelerated enterprise workloads.
Engineering firms, design organizations, media companies, enterprises, and service providers frequently deploy NVIDIA A40 environments.
Yes. NVIDIA A40 can be deployed within cloud environments to provide scalable GPU resources for professional workloads.
Yes. Organizations can provide GPU access to multiple users and departments through centralized infrastructure.
Yes. NVIDIA A40 environments can operate alongside storage, networking, security, and management platforms.
Additional GPU resources can be provisioned as business requirements and workload demands grow.
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Tell us what you're building — model size, throughput target, timeline — and a solutions architect will size the right A40 configuration and price it in INR. If a different GPU serves you better, we'll say so.
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| Team Efficiency |
| Delivery Timelines |
| Service Availability |
| Main Stakeholders | Employees | Project Teams | Business Units |
| Operational Driver | Accessibility | Coordination | Scalability |
| Resource Focus | User Resources | Project Resources | Shared Resources |
| Planning Horizon | Ongoing Usage | Project Lifecycle | Long-Term Growth |
| Management Priority | User Experience | Delivery Control | Capacity Planning |
| Deployment Type | — | — | — |
Serve production endpoints at a materially lower cost-per-token than flagship accelerators — capacity matched to the workload.
On-demand cloud for bursts, dedicated bare-metal for sustained runs — same portal, same support.
Cloud engineers who understand AI workloads, backed by a 99.99% uptime SLA.
Devansh Rathore
“Forty-plus designers were on individual workstations we couldn't secure or refresh. A40 vGPU consolidated them onto central infrastructure in Mumbai. IP never leaves the data centre now, and onboarding a new designer takes an afternoon instead of a purchase order.”
Meera Balasubramanian
“Patient data cannot leave the country — that decided the shortlist before performance did. Host360 gave us the residency answer in writing and had A40 capacity live in three days. Our imaging inference pipeline hasn't missed an SLA since.”
Kabir Sengupta
“Render queues are spiky by nature. We hold a reserved A40 baseline and burst on-demand during delivery weeks — the same portal, the same team on both. RT Core acceleration took our heaviest sequences from overnight to before lunch.”
Ritika Malhotra
“We fine-tune credit and fraud models weekly. A40 memory handles our LoRA runs comfortably and the pre-built CUDA stack meant zero environment debugging on day one. INR billing also ended a quarterly argument with finance about forex variance.”