India's Largest NSE Listed Cloud Provider

Powerful Quadro RTX Visual Computing GPU with AI/DL capabilties

GPU for modern workloads in the cloud, for AI, data sciences, HPC and remote working cloud workstations engineering design and creative/VFX users.

Powerful Quadro RTX Visual Computing GPU with AI/DL capabilties

Benefits of E2E GPU Cloud

  • World-class GPU Infra

    No Hidden Fees

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

  • World-class GPU Infra

    NVIDIA Certified CSP Partner

    We are NVIDIA Certified Cloud Service provider partner.

  • World-class GPU Infra

    NVIDIA Certified Hardware

    We are using NVIDIA certified hardware for GPU accelerated workloads.

  • World-class GPU Infra

    Flexible Pricing

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

Specs

RTX 8000
CUDA Cores(Parallel-Processing)4608
Tensor Cores (Machine & Deep Learning)576
RT Cores72
RTX-OPS84T
Rays Cast11 Giga Rays/s
GPU Memory48 GB GDDR6 with ECC
GPU Memory Bandwidth672 GB/s
Form FactorPCIe

Indian data-centers, hence low latency:

All the GPU servers of E2E networks run in Indian data centers, reducing latency.

Windows RTX 8000 GPU Dedicated Compute Longer Tenure = Lesser Cost
Choose The One That's Right For You

Choose Tenure

  • Upto 27% saving
  • Upto 25% saving
  • Upto 23% saving
  • Upto 21% saving
  • Upto 27% saving
  • Upto 25% saving
  • Upto 23% saving
  • Upto 21% saving
  • Upto 27% saving
  • Upto 25% saving
  • Upto 23% saving
  • Upto 21% saving
  • Upto 27% saving
  • Upto 25% saving
  • Upto 23% saving
  • Upto 21% saving
Plan GPU Cards GPU Memory vCPU
( ≥ 2.9Ghz)
Dedicated RAM NVMe Disk Space Licenses Bundle Price
GDCW.RTX-16.115GB 1x NVIDIA RTX 8000 1x48GB (DDR6) 16 vCPUs 120 GB 900 GB SSD 1xQvDWS , 1xRDS , Windows Standard Licenses
56,607
(Billed hourly)
78/hr
44,047
(Billed Monthly)
60.3/hr
43,247
(Billed Quarterly)
59.2/hr
42,847
(Billed Half Yearly)
58.6/hr
41,647
(Billed Annually)
57/hr
Create
GDCW.2xRTX-32.230GB 2x NVIDIA RTX 8000 2x48GB (DDR6) 32 vCPUs 240 GB 1800 GB SSD 1xQvDWS , 1xRDS , Windows Standard Licenses
1,12,063
(Billed hourly)
154/hr
86,943
(Billed Monthly)
119.1/hr
85,343
(Billed Quarterly)
116.9/hr
84,543
(Billed Half Yearly)
115.8/hr
82,143
(Billed Annually)
112.5/hr
Create

Hypervisor Backend Connectivity - 40Gbps over Fiber
Additional licenses available on-demand, you can contact to our sales team (Sales@e2enetworks.com)

Multiple Windows Use-cases, One Solution!

E2E’s GPU Cloud

is suitable for a wide range of uses

  • Real-Time Ray Tracing Acceleration:

    Providing 72 RT core allows to perform the real time RAY Tracing. It is certified by the leading graphics organizations on sophisticated professional applications.

  • High Performance Rendering:

    Most of the designers, architects and artists are able to achieve significantly faster rendering for their professional workflows with E2E GPU Cloud.

  • Complex Designing Models:

    Equipped with 4608 NVIDIA CUDA® cores, 576 Tensor cores which make RTX8000 is a best choice for high end graphic designing applications like Autodesk VRED® , Autodesk Maya® and Lumiscaphe P3D Design®.

  • Best Choice For Memory Intensive Graphics:

    It provides the largest graphics memory in RTX Series GPUs to address the largest datasets and models in latency-sensitive professional applications.

  • Best For 3D Applications and 8K Graphics:

    It allows content creators to accurately simulate lights, reflections, and shadows for more realistic experiences in movies, games and online videos in 3D animations.

Linux RTX 8000 GPU Dedicated Compute Longer Tenure = Lesser Cost
Choose The One That's Right For You

Choose Tenure

  • Upto 27% saving
  • Upto 25% saving
  • Upto 23% saving
  • Upto 21% saving
  • Upto 27% saving
  • Upto 25% saving
  • Upto 23% saving
  • Upto 21% saving
  • Upto 27% saving
  • Upto 25% saving
  • Upto 23% saving
  • Upto 21% saving
  • Upto 27% saving
  • Upto 25% saving
  • Upto 23% saving
  • Upto 21% saving
Plan GPU Cards GPU Memory vCPU
( ≥ 2.9Ghz)
Dedicated RAM NVMe Disk Space OS Price
GDC.RTX-16.115GB 1x NVIDIA RTX 8000 1x48GB (DDR6) 16 vCPUs 115 GB 900 GB SSD Ubuntu 16 / Ubuntu 18 / Centos 7
52,560
(Billed hourly)
72/hr
40,000
(Billed Monthly)
54.7/hr
39,200
(Billed Quarterly)
53.6/hr
38,800
(Billed Half Yearly)
53.1/hr
37,600
(Billed Annually)
51.5/hr
Create
GDC.2xRTX-32.230GB 2x NVIDIA RTX 8000 2x48GB (DDR6) 32 vCPUs 230 GB 1800 GB SSD Ubuntu 16 / Ubuntu 18 / Centos 7
1,05,120
(Billed hourly)
144/hr
80,000
(Billed Monthly)
109.5/hr
78,400
(Billed Quarterly)
107.3/hr
77,600
(Billed Half Yearly)
106.3/hr
75,200
(Billed Annually)
103/hr
Create
GDC.4xRTX-64.460GB 4x NVIDIA RTX 8000 4x48GB (DDR6) 64 vCPUs 460 GB 3600 GB SSD Ubuntu 16 / Ubuntu 18 / Centos 7
2,10,240
(Billed hourly)
288/hr
1,60,000
(Billed Monthly)
219/hr
1,56,800
(Billed Quarterly)
214.7/hr
1,55,200
(Billed Half Yearly)
212.6/hr
1,50,400
(Billed Annually)
206/hr
Create

Multiple Linux Use-cases, One Solution!

E2E’s GPU Cloud

is suitable for a wide range of uses

  • Video Encoding and Decoding:

    It is a very high resource intensive task which requires thousands of GPU logical cores to convert video source in multiple formats which are viewable on different devices. FFmpeg - a popular open-source tool that supports a large number of video formats.

  • Big Data:

    is a ways to analyse and systematically extract information from the large or complex data sets which require the special hardware and software to process the data.GPUs help in Big Data systems by giving additional computational capabilities that need for ideal performance. Sharing few tools like Hadoop, Apache Spark and Apache Storm which are popular in Big data.

  • Machine Learning and Deep learning:

    Machine learning is a technique to extract the meaningful data from the existing datasets, learn from it and then apply it to make predictions and Deep learning improving the results of machine learning. Parsing large data sets and providing recommendation to thousands of users in parallel require the GPU Power to perform this.

  • Artificial intelligence:

    AI is the ability of computer programs to function like a human brain. It requires the GPU Power to perform the AI common task to input datasets and make decisions as quickly as possible based on situations. Driver less cars and metro are the popular use cases of AI.

  • Security and Surveillance:

    This is one the smart way of security which is adaptive by almost all the banks where GPU based Linux machines go through the live recording of CCTV cameras and reacting based on the set of rules if they found anything suspicious.

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

Trusted by 10,000+ Clients

Testimonials

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.

WATCH NOW:

About Us

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).

Documentation & Resources

  • Machine Learning- The Future for GPU’s

    Traditional AI models built using Rule-based systems depend on explicitly defined rules. Such AI systems deliver limited business value based on how well these rules are defined.

  • Everything You Need To Know About Tesla V100 GPUs On Cloud

    The advent of AI and ML have shaken up the whole technological space by virtue of the potential they hold for each and every industry.

  • Artificial Intelligence For All

    Power your High performance applications to run your research & development workloads.

FAQs

Do I need to install GPU drivers?

No, we have machines pre-loaded with NVIDIA recommended drives to run the graphics and compute workload seamlessly.

Do I have the latest Graphics Driver?

Yes, we are using the latest stable version drivers and updating our templates every month.

Is this Workstation only Good for Graphics and rendering workload?

No, this is one of the best economic solution to run the AI and Deep learning workload for medium size organisations.