Bring accelerated performance to every enterprise workload with NVIDIA A30 GPU Cloud servers

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.

Learn more about NVIDIA A30
NVIDIA A30 Data Sheet

Specs

A30

3584
CUDA Cores(Parallel-Processing)
24GB HBM2
GPU Memory
933GB/s
GPU Memory Bandwidth
2-slot, full height, full length (FHFL)
Form Factor

Benefits

No Hidden Fees

No hidden or additional charges. What you see on pricing charts is what you pay.

NVIDIA Certified CSP Partner

We are NVIDIA Certified Cloud Service provider partner.

No Hidden Fees

We are using NVIDIA certified hardware for GPU accelerated workloads.

Flexible Pricing

We are offering pay as you go model to long tenure plans.

GPU-accelerated 1-click NGC Containers

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.

Linux A30 GPU Dedicated Compute

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
40,000
(Billed Monthly)
₹90/hr
GDC.2xA30-32.180GB
Ubuntu 16 / Ubuntu 18 / Centos 7
2x NVIDIA A30
2 x 24 GB
32 vCPUs
180 GB
1280 GB SSD
₹80,000
(Billed Monthly)
₹180/hr
GDC.4xA30-64.360GB
Ubuntu 16 / Ubuntu 18 / Centos 7
4x NVIDIA A30
4 x 24 GB
64 vCPUs
360 GB
2560 GB SSD
₹1,60,000
(Billed Monthly)
₹360/hr

Windows A30 GPU Dedicated Compute

Plan
GPU Cards
GPU Memory
vCPU
( ≥ 2.9Ghz)
Dedicated Ram
NVMe Disk Space
Price Per Hour
Price Per Month
GDC.A30-16.90GB
1x NVIDIA A30
1 x 24 GB
16 vCPUs
90 GB
640 GB SSD
₹96.9/hr
70,737
GDCW.2xA30-32.180GB
2x NVIDIA A30
2 x 24 GB
32 vCPUs
180 GB
1280 GB SSD
₹191.4/hr
1,39,722
GDC.4xA30-64.360GB
4x NVIDIA A30
4 x 24 GB
64 vCPUs
360 GB
2560 GB SSD
₹380.6/hr
2,77,838
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)

Multiple Use-cases, One Solution!

E2E’s GPU Cloud is suitable for a wide range of uses.

AI/ML/DL

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.

Computer Vision

Accelerate Convolutional Neural Networks based deep-learning workloads like video analysis, facial recognition, medical imaging and others

Natural Language Processing

Conversational AI technologies are becoming ubiquitous, with countless products taking advantage of automatic speech recognition, natural language understanding, and speech synthesis coming to market.

Big Data

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

Scientific Research

Design and implement data-parallel algorithms that scale to hundreds of tightly coupled processing units: molecular modelling, fluid dynamics and others

Accelerate Machine Learning and Deep Learning Workloads with up to 70% cost-savings.

How E2E GPU Cloud is helping Cloud Quest in their gaming journey

Latency is a critical part of Cloud Gaming. E2E GPU Cloud provided ultra-low network latency to Cloud Quest users and enhanced their gaming experience.