The L40S is NVIDIA's universal data-centre GPU: 48 GB of GDDR6, fourth-generation Tensor Cores with FP8, third-generation RT cores and AV1 media engines. It serves LLMs and image models, renders ray-traced scenes and transcodes video — on the same card, billed in rupees. Launch a single L40S for a proof of concept, then scale to 2- and 4-GPU nodes for production inference or render queues.
QUICK ANSWER · UPDATED SEPTEMBER 2026
What is the NVIDIA L40S cloud GPU used for?
The NVIDIA L40S is an Ada Lovelace data-centre GPU with 48 GB of GDDR6 memory, 864 GB/s bandwidth and FP8 Tensor Cores. It handles generative-AI inference, LLM fine-tuning, 3D rendering, video transcoding and virtual workstations on one card. XcellHost rents it from Indian data centres from ₹83,000 a month (excl. GST).
KEY TAKEAWAYS
About 2.2× the FP16 Tensor throughput of an A30
48 GB fits 7B–34B models, or 70B quantised across two cards
RT cores and AV1 engines make it a render and video server too
No MIG or NVLink — share it with vGPU or containers
Best for:GenAI inferenceRenderingVideo pipelinesVirtual workstations
Flexible plans for every workload
L40S Cloud GPU Plans
Select your billing period and choose the GPU configuration that fits your team. Prices start at ₹83,000/month.
For single users & PoC · 1 GPU
1×
L40SGPU Cloud Lite
Server Type
Dedicated GPU VM
GPU
1 × 48 GB
Virtual CPU
16 vCPU
Memory
64 GB
NVMe Storage
1000 GB
Network Port
1 Gbps
Dedicated IP
1
Operating System
Ubuntu 22.04 / Win Server 2025
Drivers
CUDA pre-installed
Protection
Virtual Firewall + Anti-DDoS
Endpoint Security
Acronis Cyber Protect Cloud
Support
24×7
₹83,000Buy Now →+GST · Monthly billing≈ ₹142/hr on demand
For single users & PoC · 1 GPU
1×
L40SGPU Cloud Standard
Server Type
Dedicated GPU VM
GPU
1 × 48 GB
Virtual CPU
16 vCPU
Memory
128 GB
NVMe Storage
1000 GB
Network Port
1 Gbps
Dedicated IP
1
Operating System
Ubuntu 22.04 / Win Server 2025
Drivers
CUDA pre-installed
Protection
Virtual Firewall + Anti-DDoS
Endpoint Security
Acronis Cyber Protect Cloud
Support
24×7
₹1,00,900Buy Now →+GST · Monthly billing≈ ₹173/hr on demand
For teams & multi-GPU · 2 GPUs
2×
L40SGPU Cloud Duo
Server Type
Dedicated GPU VM
GPU
2 × 48 GB
Virtual CPU
24 vCPU
Memory
192 GB
NVMe Storage
2000 GB
Network Port
1 Gbps
Dedicated IP
1
Operating System
Ubuntu 22.04 / Win Server 2025
Drivers
CUDA pre-installed
Protection
Virtual Firewall + Anti-DDoS
Endpoint Security
Acronis Cyber Protect Cloud
Support
24×7
₹1,83,100Buy Now →+GST · Monthly billing≈ ₹314/hr on demand
For teams & multi-GPU · 2 GPUs
2×
L40SGPU Cloud Duo Max
Server Type
Dedicated GPU VM
GPU
2 × 48 GB
Virtual CPU
32 vCPU
Memory
256 GB
NVMe Storage
2000 GB
Network Port
1 Gbps
Dedicated IP
1
Operating System
Ubuntu 22.04 / Win Server 2025
Drivers
CUDA pre-installed
Protection
Virtual Firewall + Anti-DDoS
Endpoint Security
Acronis Cyber Protect Cloud
Support
24×7
₹2,01,700Buy Now →+GST · Monthly billing≈ ₹345/hr on demand
For training & render farms · 4 GPUs
4×
L40SGPU Cloud Quad
Server Type
Dedicated GPU VM
GPU
4 × 48 GB
Virtual CPU
64 vCPU
Memory
512 GB
NVMe Storage
4000 GB
Network Port
1 Gbps
Dedicated IP
1
Operating System
Ubuntu 22.04 / Win Server 2025
Drivers
CUDA pre-installed
Protection
Virtual Firewall + Anti-DDoS
Endpoint Security
Acronis Cyber Protect Cloud
Support
24×7
₹4,03,400Buy Now →+GST · Monthly billing≈ ₹691/hr on demand
Indicative pricing in INR, exclusive of 18% GST. Plan codes: XG.L40S.1-16, XG.L40S.1-16M, XG.L40S.2-24, XG.L40S.2-32, XG.L40S.4-64.
Hourly or monthly? Work it out.
Tell us how much you'll actually use the GPU and we'll show the cheaper way to pay.
Pay-as-you-go—
Monthly plan—
1-year plan (per month)—
—
Indicative, excl. GST.
Key features of L40S on XcellHost
FP8 Transformer EngineFourth-generation Tensor Cores switch to FP8 where accuracy allows, lifting tokens per second for LLM and diffusion inference.
Real ray tracing and DLSS 3Third-generation RT cores and DLSS 3 make ray-traced viewports, Omniverse scenes and final-frame rendering fast.
Media engines built inThree NVENC and three NVDEC engines with AV1 turn one card into a transcoding and streaming server too.
Versatile across workloadsTraining, inference, rendering, simulation and virtual workstations — one GPU type for a mixed team.
India-hosted, low latencyServe users across India from Indian data centres, with data residency for DPDP Act comfort.
Live GPU monitoringUtilisation, memory, temperature and encoder load with alerts before jobs slow down.
Hourly or term billingProve the workload by the hour, then save up to 10% on a 1-year term.
Experts on callWe help tune vLLM, TensorRT, ComfyUI, Omniverse and render settings for throughput.
Why choose XcellHost for your L40S cloud GPU
Hosted in India
GPUs run in Indian data centres, so latency stays low and your data stays in the country for DPDP Act comfort.
INR billing with GST invoice
Pay in rupees and claim input tax credit — no forex swings or USD card charges.
99.95% uptime SLA
Enterprise power, cooling and network with a written uptime commitment.
24×7 human GPU experts
Real engineers on phone, WhatsApp and ticket — in English and Hindi.
Free setup & migration
We install drivers, CUDA and frameworks, and move your data and images for you.
Scale 1 → 4 GPUs
Start with one GPU for a proof of concept and add more as projects grow.
ISO 27001 security
Certified operations, virtual firewall, anti-DDoS and Acronis endpoint protection.
No surprise bills
Flat plans include storage, a public IP and bandwidth — no hidden egress charges.
Outcomes you can plan around
2.2×
FP16 Tensor vs A30
733 versus 330 TFLOPS (with sparsity) for inference-heavy work.
2.4×
FP32 vs A40
91.6 versus 37.4 TFLOPS shortens render and simulation times.
3
Workloads, one GPU type
AI, graphics and media on the same fleet — simpler capacity planning.
₹0
Hardware capex
Rent by the month; stop paying when the project ends.
Ratios use NVIDIA's published specifications. Actual results depend on your model, software and batch size.
What are the NVIDIA L40S specifications?
1
48 GB ECC memory
48 GB GDDR6 with ECC holds 7B–34B models, large diffusion pipelines and heavy 3D scenes on one card.
2
18,176 CUDA · 568 Tensor cores
Fourth-generation Tensor Cores with FP8 — up to 1,466 TFLOPS for quantised inference.
3
Passive heatsink
Server edition with no fan — cooled by the chassis airflow, built for 24×7 duty in our Indian data centres.
4
PCIe Gen 4 x16
Full host bandwidth for loading models, textures and video streams; scale with 2- and 4-GPU nodes.
Architecture
NVIDIA Ada Lovelace
GPU memory
48 GB GDDR6 with ECC
Memory bandwidth
864 GB/s
CUDA cores
18,176
Tensor cores
568 (4th gen)
RT cores
142 (3rd gen)
FP8 Tensor
1,466 TFLOPS*
FP16/BF16 Tensor
733 TFLOPS*
TF32 Tensor
366 TFLOPS*
FP32
91.6 TFLOPS
Media engines
3 NVENC · 3 NVDEC (AV1)
Interconnect
PCIe Gen 4 x16
Form factor
Dual-slot, passive
Board power
350 W
*With sparsity, per NVIDIA's published L40S specifications. L40S does not support MIG or NVLink; share it with vGPU or containers.
Performance
L40S against other PCIe data-centre GPUs — published specifications, side by side.
GPU Workstation On-Premises VS L40S On Cloud
Buying your own workstation
XcellHost GPU Cloud
₹8–10 lakh+ upfront hardware capex
Monthly OPEX from ₹83,000 — no capex
Hardware ages out in about three years
Move to newer GPUs whenever you're ready
Power, cooling and UPS are your problem
Tier-IV class data-centre power and cooling
Usable only at the office desk
Access from office, home or site, on any device
Manual backups, if any
Snapshot and Acronis backup options
Needs in-house IT to maintain
Managed 24×7 by certified experts
One faulty part stops all work
Hardware replacement backed by an SLA
Fixed capacity, idle most nights
Scale up for deadlines, down when done
Launch L40S In The Cloud 4 Easy Steps
01
Share your workload
Tell us the model, scene or software you'll run and your hours of use. We reply with a sizing note and a GST-ready quote.
02
Pick a plan and term
Choose hourly for a proof of concept, or a monthly to 1-year L40S plan. KYC and a PO are all we need.
03
We deliver your GPU server
We provision the L40S with your OS, drivers, CUDA and frameworks, then share SSH or remote-desktop access.
04
Run, monitor and scale
Track GPU use from the portal, call 24×7 support any time, and add GPUs as projects grow.
The NVIDIA L40S is an Ada Lovelace data-centre GPU with 48 GB of GDDR6 memory, 864 GB/s bandwidth and FP8 Tensor Cores. It handles generative-AI inference, LLM fine-tuning, 3D rendering, video transcoding and virtual workstations on one card. XcellHost rents it from Indian data centres from ₹83,000 a month (excl. GST).
How does the L40S compare with the A100 or H100?
The L40S is the better value for inference, generative AI and anything involving graphics or video. The A100, H100 and H200 remain the right choice for large-scale training and tightly coupled multi-GPU clusters, thanks to HBM memory and NVLink.
Does the L40S support MIG or NVLink?
No. It's a PCIe Gen 4 card without MIG or NVLink. Share it across users with NVIDIA vGPU, VMs or containers, and scale across cards with PCIe and networking.
Can I use the L40S for virtual workstations?
Yes. It supports NVIDIA vGPU and RTX Virtual Workstation for GPU-backed desktops for designers, engineers and creators.
Can it run AI and graphics at the same time?
Yes. Ada Lovelace's Tensor, RT and media engines let one L40S handle inference alongside rendering or transcoding.
Which frameworks run on it?
PyTorch, TensorFlow, JAX, CUDA, cuDNN, TensorRT, Triton, vLLM, FFmpeg with NVENC/NVDEC, Omniverse, Docker and Kubernetes — use our images or bring your own containers.
Can I rent it for a short proof of concept?
Yes. Hourly billing suits PoCs, render bursts and seasonal traffic; move to a monthly or term plan once the workload is proven.
What does the L40S cost in India?
From ₹83,000 per month for one L40S with 16 vCPU and 64 GB RAM, excluding GST. 3-, 6- and 12-month terms save 5%, 7.5% and 10%.
NVIDIA
PyTorch
TensorFlow
JAX
vLLM
NVIDIA Triton
Hugging Face
Ollama
ComfyUI
RAPIDS
Omniverse
Blender
Unreal Engine
DaVinci Resolve