NVIDIA A30 Tensor Core GPU is the most versatile mainstream compute GPU for AI inference and mainstream enterprise workloads.
NVIDIA A30 GPU Cloud server provide up to 10X higher performance over the NVIDIA T4 GPU Cloud server with zero code changes
Up To 3X higher throughput than V100 GPU for real-time conversational AI
With NVIDIA Ampere architecture Tensor Cores, it delivers speedups securely across diverse workloads, including AI inference at scale and high-performance computing (HPC) applications. By combining fast memory bandwidth and low-power consumption in a PCIe form factor—optimal for mainstream servers—A30 enables an elastic data center and delivers maximum value for enterprises.
| A30 | |
|---|---|
| CUDA Cores(Parallel-Processing) | 3584 |
| GPU Memory | 24GB HBM2 |
| GPU Memory Bandwidth | 933GB/s |
| Form Factor | 2-slot, full height, full length (FHFL) |
No hidden or additional charges. What you see on pricing charts is what you pay.
We are NVIDIA Certified Cloud Service provider partner.
We are using NVIDIA certified hardware for GPU accelerated workloads.
We are offering pay as you go model to long tenure plans.
E2E Cloud GPUs have super simple one click support for NGC containers for deploying NVIDIA certified solutions for AI/ML/NLP/Computer Vision and Data Science workloads.
| Plan | OS | GPU Cards | GPU Memory |
vCPU ( ≥ 2.9Ghz) |
Dedicated RAM | NVMe Disk Space | Price | |
|---|---|---|---|---|---|---|---|---|
| GDC.A30-16.90GB | Ubuntu 16 / Ubuntu 18 / Centos 7 | 1x NVIDIA A30 | 1 x 24 GB | 16 vCPUs | 90 GB | 640 GB SSD |
65,700/mo
(Billed hourly) 90/hr
12,000
(Billed Weekly) 71.4/hr
40,000
(Billed Monthly) 90/hr
39,000
(Billed Quarterly) 90/hr
38,000
(Billed Half Yearly) 90/hr
36,000
(Billed Annually) 90/hr |
Create |
| GDC.2xA30-32.180GB | Ubuntu 16 / Ubuntu 18 / Centos 7 | 2x NVIDIA A30 | 2 x 24 GB | 32 vCPUs | 180 GB | 1280 GB SSD |
131,400/mo
(Billed hourly) 180/hr
24,000
(Billed Weekly) 142.8/hr
80,000
(Billed Monthly) 180/hr
78,000
(Billed Quarterly) 180/hr
76,000
(Billed Half Yearly) 180/hr
72,000
(Billed Annually) 180/hr |
Create |
| GDC.4xA30-64.360GB | Ubuntu 16 / Ubuntu 18 / Centos 7 | 4x NVIDIA A30 | 4 x 24 GB | 64 vCPUs | 360 GB | 2560 GB SSD |
262,800/mo
(Billed hourly) 360/hr
48,000
(Billed Weekly) 285.7/hr
160,000
(Billed Monthly) 360/hr
156,000
(Billed Quarterly) 360/hr
152,000
(Billed Half Yearly) 360/hr
144,000
(Billed Annually) 360/hr |
Create |
| Plan | GPU Cards | GPU Memory |
vCPU ( ≥ 2.9Ghz) |
Dedicated RAM | NVMe Disk Space | Licenses Bundle | Price | Minimum Billing |
|---|
Note:
Hypervisor Backend Connectivity - 40Gbps over Fiber
Nvidia QvDWS is per user license, for more RDS licenses can contact our sales team for more detail (Sales@e2enetworks.com)
Additional licenses available on-demand, you can contact to our sales team (Sales@e2enetworks.com)
All the GPU servers of E2E networks run in Indian data centers, reducing latency.
is suitable for a wide range of uses
Train complex models at high speed to improve predictions and decisions of your algorithms. Use any framework or library: TensorFlow, PyTorch, Caffe, MXNet, Auto-Keras, and many more.
Accelerate Convolutional Neural Networks based deep-learning workloads like video analysis, facial recognition, medical imaging and others
Conversational AI technologies are becoming ubiquitous, with countless products taking advantage of automatic speech recognition, natural language understanding, and speech synthesis coming to market.
Design and implement data-parallel algorithms that scale to hundreds of tightly coupled processing units: molecular modelling, fluid dynamics and others
Deal with large-size data sets and continuously growing data, splitting it up between processors to crunch through voluminous data sets at a quicker rate
We at CamCom are using E2E GPU servers for a while now and the price-performance is the best in the Indian market. We also have enjoyed a fast turnaround from the support and sales team always. I highly recommend the E2E GPU servers for machine learning, deep learning and Image processing purpose
E2E Networks Ltd is an India focused Cloud Computing Company - the first to bring contract-less cloud computing to the Indian startups and SMEs. E2E Networks Cloud was used by many of successfully scaled-up startups like Zomato/Cardekho/Healthkart/Junglee Games/1mg and many more to scale during a significant part of their journey from startup stage to multi-million DAUs ( Daily Active Users).
24 GB
Monthly prices shown are calculated using an assumed usage of 730 hours per month; actual monthly costs may vary based on the number of days in a month.
No price is exclusive of any taxes, all plan pricing is subject to 18% GST rate.
E2E Networks Ltd is an India focused Cloud Computing Company and the first to bring contract-less cloud computing to the Indian startups and SMEs.
Co-founded by veterans Tarun Dua and Mohammed Imran, E2E Networks Cloud was used by many of the successfully scaled-up startups like Zomato/Cardekho/Healthkart/Junglee Games/1mg and many more to scale during a significant part of their journey from startup stage to multi-million DAUs (Daily Active Users).
In 2018, E2E Networks Ltd issued its IPO through NSE Emerge and was oversubscribed 70 times! Today, E2E Networks is the largest NSE listed Cloud Provider having served more than 10,000 customers and having thousands of active customers.
E2E Networks is the platform of choice for Cloud Infrastructure used by Indian entrepreneurs since 2009.
No. The billing will continue even if you switch off the server as we cannot provide the same server to any other customer. Only when the server is terminated/ deleted, the billing stops.
