The NVIDIA L40 pairs 48GB of GDDR6 memory with third-generation RT Cores and fourth-generation Tensor Cores — so the same card that serves your AI inference endpoint also renders your product visuals and drives virtual workstations. Deployed in Host360's Indian data centres, billed in INR.
From early-stage AI startups to Fortune 500 R&D labs.
PLATFORM CHARACTERISTICS
The NVIDIA L40 is a data centre GPU built on NVIDIA's Ada Lovelace architecture. It combines 18,176 CUDA cores, 568 fourth-generation Tensor Cores and 142 third-generation RT Cores with 48GB of ECC memory.
Solution Overview
1. Cloud GPU instances — Provisioned on demand, PyTorch, TensorFlow, CUDA and Jupyter pre-configured, pay for what you use. 2. Dedicated bare-metal GPU servers — 1–8 GPUs per server, up to 128 CPU cores, up to 2TB RAM, NVMe SSD arrays, 100 Gbps connectivity, fixed monthly cost.
Collaborative workflows.
Align NVIDIA L40 infrastructure with organizational priorities, service objectives, and platform management requirements.
| Feature | Team Productivity ₹160 / hr | Service Reliability ₹78,000 / month | Business Expansion Custom — contact sales |
|---|---|---|---|
| Main Beneficiaries |
SUPPORTING CLOUD SERVICES
Extend NVIDIA L40 environments with cloud services that support connectivity, storage, security, and infrastructure operations.
Every L40 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
Move up or down the stack as your workload changes, without a procurement cycle.
PyTorch, TensorFlow, CUDA, Jupyter and LLM frameworks ready on day one.
On-demand cloud for bursts, dedicated bare-metal for sustained runs — same portal, same support.
Notes from engineering and infrastructure leads running NVIDIA L40 capacity in Indian data centres.
200+
Indian operators
99.99%
Monthly uptime
24/7
Named SRE
Frequently asked
Learn about NVIDIA L40 infrastructure, deployment options, and enterprise GPU environments.
The NVIDIA L40 is a data centre GPU built on the Ada Lovelace architecture, combining 18,176 CUDA cores, 568 fourth-generation Tensor Cores and 142 third-generation RT Cores with 48GB of GDDR6 ECC memory. It is designed for AI inference, 3D rendering, virtual workstations and video processing.
Enterprises, engineering firms, design teams, software companies, and cloud providers commonly deploy NVIDIA L40 infrastructure.
Yes. NVIDIA L40 resources can be provisioned through cloud infrastructure for scalable access and operational flexibility.
Yes. NVIDIA L40 supports a wide range of enterprise applications requiring professional GPU resources.
Yes. NVIDIA L40 deployments commonly integrate with networking, storage, security, and management services.
Additional GPU resources can be added as infrastructure requirements and workload demands increase.
We reply within 2 hrs · IST business hours
Tell us what you're running — inference endpoints, render queues, design workstations or all three — and we'll size the deployment, quote it in INR, and tell you honestly if a different GPU is the better fit.
Share infrastructure efficiently.
Track platform utilization.
Manage access permissions.
| End Users |
| Operations Teams |
| Business Units |
| Success Indicator | User Efficiency | Service Availability | Platform Growth |
| Planning Priority | User Experience | Stability Planning | Capacity Strategy |
| Resource Objective | Accessibility | Consistency | Scalability |
| Operational Driver | Adoption | Reliability | Expansion |
| Management Focus | User Support | Risk Reduction | Strategic Growth |
| Deployment Type | — | — | — |
Create isolated cloud environments with dedicated network segmentation and control.
Cloud engineers who understand AI workloads, backed by a 99.99% uptime SLA.
“Our design team is spread across four cities. vGPU profiles on L40 gave every one of them a proper RTX workstation without a single machine leaving the data centre. IP never touches a laptop now — that alone justified the move.”
Meera Joshi
“Transcoding used to eat our application CPUs alive. Moving encode onto the L40's NVENC engines with AV1 dropped our per-stream cost enough that we stopped rationing quality tiers. Setup took an afternoon.”
Siddharth Bhatt
“The honest spec sheet is what closed it. Host360's team told us upfront the L40 has no NVLink and pointed us at H100 for our training runs while keeping inference on L40. Being told what a product doesn't do is rarer than it should be.”
Farhan Qureshi
“Data residency was non-negotiable for our regulator. Indian data centres, a compliance brief that was actually current, and answers about where our workloads physically sit. INR billing removed a forex line from the model entirely.”