The A2 is NVIDIA's entry-level data-centre GPU: 16 GB of GDDR6 and
third-generation Tensor Cores in a 40–60 W, low-profile card. It moves vision, speech
and NLP inference off CPU servers — NVIDIA rates it at up to 20× CPU inference
performance — for less than the cost of a large CPU VM. Start with one A2 for a pilot,
add more instances as streams or requests grow, and step up to L4 or A30 when models
get bigger.
QUICK ANSWER · UPDATED SEPTEMBER 2026
What Is The NVIDIA A2 GPU Best Suited For?
The NVIDIA A2 is an entry-level Ampere data-centre GPU with 16 GB of GDDR6 and a
40–60 W power envelope, built for AI inference, intelligent video analytics and edge
deployments. It's the lowest-cost way to move inference off CPU servers.
XcellHost rents it in India from ₹15,700 a month (excl. GST).
KEY TAKEAWAYS
Lowest-cost GPU for moving inference off CPUs
40–60 W — cheap to run 24×7
16 GB fits vision, speech and small language models
Step up to L4 or A30 when models grow
Best for:Video analyticsVision inferenceSpeech AIEdge AI
Flexible plans for every workload
A2 Cloud GPU Plans
Select your billing period and choose the GPU configuration that fits your team.
Prices start at ₹15,700/month.
For single users & PoC · 1 GPU
1×
A2GPU Cloud Lite
Server Type
Dedicated GPU VM
GPU
1 × 16 GB
Virtual CPU
8 vCPU
Memory
32 GB
NVMe Storage
250 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
₹15,700Buy Now →+GST · Monthly billing≈ ₹27/hr on demand
For teams & multi-GPU · 2 GPUs
2×
A2GPU Cloud Duo
Server Type
Dedicated GPU VM
GPU
2 × 16 GB
Virtual CPU
16 vCPU
Memory
64 GB
NVMe Storage
500 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
₹31,300Buy Now →+GST · Monthly billing≈ ₹54/hr on demand
Indicative pricing in INR, exclusive of 18% GST. Plan codes: XG.A2.1-8, XG.A2.2-16.
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 A2 On XcellHost
Low power, low cost40–60 W and a low-profile card make the A2 the cheapest
GPU to run 24×7.
Real inference accelerationThird-generation Tensor Cores with INT8 — NVIDIA
rates it at up to 20× CPU inference throughput for typical models.
Kubernetes-nativeRun containerised inference with the NVIDIA GPU Operator,
with simple scaling and resource control.
Scale out one GPU at a timeAdd A2 instances as streams or requests grow,
instead of one big GPU sitting half-idle.
India-hosted, low latencyServe users across India from Indian data centres,
with data residency for DPDP Act comfort.
Live GPU monitoringGPU utilisation and memory per instance, with alerts for
24×7 services.
Hourly or term billingProve the workload by the hour, then save up to 10% on
a 1-year term.
Experts on callHelp converting models to TensorRT/INT8 and setting up
DeepStream or Triton.
Why Choose XcellHost For Your A2 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
up to 20×
Inference Vs CPU
NVIDIA's rating for typical models moved from CPU to A2.
60 W
Maximum Board Power
Runs 24×7 at a fraction of a large GPU's power.
16 GB
GPU Memory
Enough for most vision, speech and NLP inference models.
₹0
Hardware Capex
Pilot by the month; scale out as you go.
CPU comparison is NVIDIA's published figure; actual gains depend on your model and
CPU baseline.
What Are The NVIDIA A2 Tensor Core GPU Specifications?
1
16 GB ECC Memory
16 GB GDDR6 holds most vision, speech and NLP inference models with room for
batching.
2
1,280 CUDA · 40 Tensor Cores
Third-generation Tensor Cores with INT8 — 72 TOPS with sparsity for real-time
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 X8
Low-profile, single-slot card for dense, low-power inference servers.
Architecture
NVIDIA Ampere
GPU memory
16 GB GDDR6
Memory bandwidth
200 GB/s
CUDA cores
1,280
Tensor cores
40 (3rd gen)
RT cores
10 (2nd gen)
FP16 Tensor
36 TFLOPS*
INT8 Tensor
72 TOPS*
FP32
4.5 TFLOPS
Media engines
1 NVENC · 2 NVDEC (AV1 decode)
Interconnect
PCIe Gen 4 x8
Form factor
Single-slot, low-profile
Board power
40–60 W configurable
*With sparsity, per NVIDIA's published A2 specifications. "Up to 20× CPU
inference" is NVIDIA's figure for typical models.
Performance
A2 against the GPUs you'd step up to — published specifications, side by side.
GPU Workstation On-Premises VS A2 On Cloud
Buying your own workstation
XcellHost GPU Cloud
₹8–10 lakh+ upfront hardware capex
Monthly OPEX from ₹15,700 — 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 A2 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 A2 plan. KYC and a PO
are all we need.
03
We Deliver Your GPU Server
We provision the A2 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 A2 is an entry-level Ampere data-centre GPU with 16 GB of GDDR6 and a
40–60 W power envelope, built for AI inference, intelligent video analytics and
edge deployments. It's the lowest-cost way to move inference off CPU servers.
XcellHost rents it in India from ₹15,700 a month (excl. GST).
When should I choose A2 instead of a bigger GPU?
For lightweight to medium inference, video analytics or edge ML where you
don't need data-centre-class performance or power draw. Step up to L4 or A30
when models or traffic grow.
How does A2 compare with CPU-only servers?
NVIDIA rates the A2 at up to 20× the inference performance of CPU-only servers for
typical AI models, with better efficiency.
Is the A2 good for video?
Yes, for analytics. It has one NVENC and two NVDEC engines, with hardware decode
for H.264, H.265, VP9 and AV1 — ideal for feeding camera streams into AI models.
Can it run LLMs or generative AI?
Only small or heavily quantised models. For LLMs and generative AI choose L4,
L40S, A100, H100 or H200.
Which frameworks and tools does it support?
PyTorch, TensorFlow, TensorRT, Triton, DeepStream, ONNX Runtime and more, with our
GPU images or your own Docker and Kubernetes setup.
Can I run A2 workloads 24×7 in production?
Yes. It's designed for continuous inference and video analytics, and we
monitor it around the clock.
What does the A2 cost in India?
From ₹15,700 per month for one A2 with 8 vCPU and 32 GB RAM, excluding GST. 3-, 6-
and 12-month terms save 5%, 7.5% and 10%.
NVIDIA
PyTorch
TensorFlow
ONNX
Runtime
NVIDIA
Triton
OpenCV
FFmpeg
Hugging Face
Docker
Kubernetes
RAPIDS
JAX