NVIDIA A30 GPU 24GB – Powering AI, Data Analytics, and Inference
The NVIDIA A30 Tensor Core GPU, based on Ampere architecture Tensor Core Technology, is a highly versatile compute GPU designed for mainstream enterprise workloads and AI inference. It supports a wide range of math precisions, making it suitable for speeding up every workload. The NVIDIA A30 Tensor Core GPU is built for AI inference at scale and can rapidly re-train AI models with TF32. It is also capable of accelerating high-performance computing applications using FP64 Tensor Cores. A30 ’s compute capabilities offer high value because of the combination of third-generation Tensor Cores and MIG delivering secure quality of service across diverse workloads, all powered by a versatile GPU enabling an elastic data center.
Learn more about NVIDIA A30
NVIDIA A30 Data SheetProduct Enquiry Form
Technical Specifications of the NVIDIA A30 GPU
A30 GPU
Product Features
Here are some key features that make the A30 24GB stand out:
Ampere Architecture
The NVIDIA A30 GPU can accommodate acceleration needs of varying sizes, ranging from small tasks to large multi-node workloads. Its versatility allows users to fully utilize each GPU in their data center, using mainstream servers 24/7. With the A30, there's no need to invest in specialized hardware for specific tasks, as it can handle a wide range of workloads efficiently.
High Bandwidth Memory
With up to 24GB of HBM2 memory and a staggering 933GB/s GPU memory bandwidth, NVIDIA A30 GPU is an excellent choice for diverse AI and HPC workloads. Its mainstream server compatibility makes it an efficient and cost-effective solution for data centers.
High Bandwidth Memory
With up to 24GB of HBM2 memory and a staggering 933GB/s GPU memory bandwidth, NVIDIA A30 GPU is an excellent choice for diverse AI and HPC workloads. Its mainstream server compatibility makes it an efficient and cost-effective solution for data centers.
High Bandwidth Memory
With up to 24GB of HBM2 memory and a staggering 933GB/s GPU memory bandwidth, NVIDIA A30 is an excellent choice for diverse AI and HPC workloads. Its mainstream server compatibility makes it an efficient and cost-effective solution for data centers.
Real-World Applications of NVIDIA A30
E2E’s GPU Cloud is suitable for a wide range of uses.
Benefits of E2E GPU Cloud
No Hidden Fees
No hidden or additional charges. What you see on pricing charts is what you pay.
Flexible Pricing
We are offering pay as you go model to long tenure plans. Easy upgrade allowed. Option to increase storage allowed.
NVIDIA Certified Elite CSP Partner
We are NVIDIA Certified Elite Cloud Service provider partner. Build or launch pre-installed software Cloud GPUs to ease your work
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.
NVIDIA Certified Hardware
We are using NVIDIA certified hardware for GPU accelerated workloads.
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.
What Our Customers Say
For over a decade, we have delighted our customers with stellar infrastructure and support.
Press and Media Mentions
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About Us
E2E Networks Ltd is an India-focused Cloud Computing Company, pioneering the introduction of contract-less cloud computing for Indian startups and SMEs. The E2E Networks Cloud has been employed by numerous successfully scaled-up startups such as Zomato, Cardekho, Healthkart, Junglee Games, 1mg, and many others. It played a crucial role in facilitating their growth from the startup stage to achieving multi-million Daily Active Users (DAUs).
Frequently Asked Questions
The NVIDIA A30 GPU is a powerful graphics processing unit designed for accelerating AI, data analytics, and virtual desktop infrastructure (VDI) workloads. It provides high performance and efficiency for demanding applications.
The key features of the NVIDIA A30 GPU include 24GB of GPU memory, 24GB of GPU memory, 10.6 TFLOPS of single-precision performance, support for CUDA and AI frameworks, and advanced virtualization capabilities.
The NVIDIA A30 GPU is suitable for a wide range of workloads, including deep learning, machine learning, data analytics, virtual desktop infrastructure (VDI), and high-performance computing (HPC) applications.
You can sign in to the MyAccount portal from where you can launch a GPU for your workload.
While the NVIDIA A30 GPU is primarily designed for AI and data-intensive workloads, it can also handle gaming. However, it may not provide the same level of performance as dedicated gaming GPUs.
Yes, you can use multiple NVIDIA A30 GPUs in parallel to further enhance performance and scale your applications. It supports technologies like NVIDIA NVLink and PCIe for connecting multiple GPUs.
The NVIDIA A30 GPU is compatible with various operating systems, including Linux distributions like Ubuntu, CentOS, and Red Hat Enterprise Linux (RHEL).
Yes, E2E Networks offers the NVIDIA A30 GPU as part of their cloud computing services, allowing you to leverage its capabilities without having to manage the hardware infrastructure yourself.
For specific pricing details and plans, it's best to contact E2E Networks directly as pricing can vary based on factors such as usage, duration, and additional services required.
Yes, the NVIDIA A30 GPU supports real-time ray tracing, a technology that enhances the visual quality of graphics and simulation applications by accurately simulating the behavior of light.
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, the price is exclusive of any taxes. All plan pricing is subject to an 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.