The A30 brings data-centre features to mainstream budgets: 24 GB of HBM2 at 933 GB/s, FP64 Tensor Cores, MIG with up to four isolated instances, and NVLink between pairs. It trains and serves mid-size models and runs HPC code — at under half the price of an A100. Carve one A30 into MIG slices for several teams or models, or pair two with NVLink when a job needs more.
QUICK ANSWER · UPDATED SEPTEMBER 2026
What Is The NVIDIA A30 Cloud GPU And Who Is It For?
The NVIDIA A30 is an Ampere data-centre GPU with 24 GB of HBM2 at 933 GB/s, FP64 Tensor Cores, MIG with up to four isolated instances and NVLink for pairs. It suits mainstream AI training, enterprise inference and HPC at a lower cost than an A100. XcellHost rents it in India from ₹40,700 a month (excl. GST).
KEY TAKEAWAYS
Sits between entry GPUs (A2, L4) and flagships (A100, H100)
MIG splits one card into four isolated GPUs
FP64 Tensor Cores for HPC and simulation
NVLink pairs for bigger jobs
Best for:Mid-size trainingEnterprise inferenceHPCMulti-tenant labs
Flexible plans for every workload
A30 Cloud GPU Plans
Select your billing period and choose the GPU configuration that fits your team. Prices start at ₹40,700/month.
For single users & PoC · 1 GPU
1×
A30GPU Cloud Lite
Server Type
Dedicated GPU VM
GPU
1 × 24 GB
Virtual CPU
8 vCPU
Memory
32 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
₹40,700Buy Now →+GST · Monthly billing≈ ₹70/hr on demand
For single users & PoC · 1 GPU
1×
A30GPU Cloud Standard
Server Type
Dedicated GPU VM
GPU
1 × 24 GB
Virtual CPU
12 vCPU
Memory
48 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
₹43,200Buy Now →+GST · Monthly billing≈ ₹74/hr on demand
For teams & multi-GPU · 2 GPUs
2×
A30GPU Cloud Duo
Server Type
Dedicated GPU VM
GPU
2 × 24 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
₹81,300Buy Now →+GST · Monthly billing≈ ₹139/hr on demand
For teams & multi-GPU · 2 GPUs
2×
A30GPU Cloud Duo Max
Server Type
Dedicated GPU VM
GPU
2 × 24 GB
Virtual CPU
24 vCPU
Memory
96 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
₹86,300Buy Now →+GST · Monthly billing≈ ₹148/hr on demand
Indicative pricing in INR, exclusive of 18% GST. Plan codes: XG.A30.1-8, XG.A30.1-12, XG.A30.2-16, XG.A30.2-24.
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 A30 On XcellHost
MIG, four waysSplit one A30 into up to four isolated GPUs with their own memory and compute — guaranteed quality of service per tenant.
HBM2 bandwidth933 GB/s — about 56% more than an A10 — keeps memory-bound training and inference fed.
Real FP64 for HPCFP64 Tensor Cores deliver 10.3 TFLOPS for simulation and scientific code that consumer-class GPUs can't run well.
NVLink pairsBridge two A30s at 200 GB/s for data-parallel training and models that span both cards.
India-hosted, low latencyServe users across India from Indian data centres, with data residency for DPDP Act comfort.
Live GPU monitoringPer-GPU and per-MIG-slice utilisation dashboards with alerting.
Hourly or term billingProve the workload by the hour, then save up to 10% on a 1-year term.
Experts on callHelp with MIG layouts, CUDA versions, PyTorch DDP and Triton serving.
Why Choose XcellHost For Your A30 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
+32%
FP16 Tensor Vs A10
330 versus 250 TFLOPS (with sparsity).
+56%
Bandwidth Vs A10
933 versus 600 GB/s for memory-bound jobs.
4
Isolated GPUs Per Card
MIG gives each team or model guaranteed resources.
~50%
Of A100 Monthly Cost
For workloads that fit 24 GB.
Ratios use NVIDIA's published specifications and XcellHost's indicative pricing.
What Are The NVIDIA A30 Tensor Core GPU Specifications?
1
24 GB ECC Memory
24 GB of HBM2 at 933 GB/s — data-centre-class bandwidth for training and memory-bound inference.
2
Ampere Tensor Cores
Third-generation Tensor Cores with TF32, BF16, INT8 and FP64 — 330 TFLOPS FP16 with sparsity.
3
NVLink Bridge
Pairs two A30s at 200 GB/s so data-parallel training and larger models span both cards.
4
Multi-Instance GPU
Split one A30 into up to four isolated instances with 6 GB each — ideal for serving several small models.
5
PCIe Gen 4 X16
Mainstream PCIe servers; NVLink bridges pairs for faster GPU-to-GPU traffic.
Architecture
NVIDIA Ampere
GPU memory
24 GB HBM2
Memory bandwidth
933 GB/s
CUDA cores
3,584
FP16/BF16 Tensor
330 TFLOPS*
TF32 Tensor
165 TFLOPS*
INT8 Tensor
661 TOPS*
FP64 Tensor
10.3 TFLOPS
FP32
10.3 TFLOPS
Multi-Instance GPU
Up to 4 × 6 GB
Interconnect
PCIe Gen 4 · NVLink 200 GB/s (pairs)
Form factor
Dual-slot, full-height full-length
Board power
165 W
*With sparsity, per NVIDIA's published A30 specifications.
Performance
A30 against other mainstream GPUs — published specifications, side by side.
GPU Workstation On-Premises VS A30 On Cloud
Buying your own workstation
XcellHost GPU Cloud
₹8–10 lakh+ upfront hardware capex
Monthly OPEX from ₹40,700 — 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 A30 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 A30 plan. KYC and a PO are all we need.
03
We Deliver Your GPU Server
We provision the A30 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.
What is the NVIDIA A30 cloud GPU and who is it for?
The NVIDIA A30 is an Ampere data-centre GPU with 24 GB of HBM2 at 933 GB/s, FP64 Tensor Cores, MIG with up to four isolated instances and NVLink for pairs. It suits mainstream AI training, enterprise inference and HPC at a lower cost than an A100. XcellHost rents it in India from ₹40,700 a month (excl. GST).
How is the A30 different from the A100, L40S or A2?
The A30 is a balanced card between entry GPUs like the A2 and flagships like the A100 and H100. It's more affordable than an A100, and focused on mixed AI and HPC — unlike the L40S, which leans towards inference, graphics and video.
Can the A30 handle both training and inference?
Yes. It supports FP64 and TF32 for training and HPC, and INT8/INT4 for fast inference.
Can I run several jobs or tenants on one A30?
Yes. MIG partitions it into up to four isolated instances with dedicated compute and memory.
Does it support multi-GPU training?
Yes. NVLink bridges connect two A30s at 200 GB/s for data-parallel training.
Is it suitable for virtualised environments?
Yes. It works with NVIDIA vGPU software and MIG for secure partitioning across VMs and containers.
How do I know whether A30 is right for me?
Choose A30 for efficient training and serving of mid-size models; A100, H100 or H200 for very large models; A2 or L4 for lightweight inference. Our GPU specialists will size it with you.
What does the A30 cost in India?
From ₹40,700 per month for one A30 with 8 vCPU and 32 GB RAM, excluding GST. 3-, 6- and 12-month terms save 5%, 7.5% and 10%.
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