NVIDIA A100 Tensor Core GPU @ Affordable Indian Price

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Experience Unmatched Performance and Efficiency in AI, Data Analytics, and HPC Workloads

The NVIDIA A100 Tensor Core GPU is a game-changer withinside the area of acceleration and performance. Designed to meet the demanding needs of AI, data analytics, and high-performance computing (HPC) applications, it empowers the world’s most advanced elastic data centers. With its unparalleled capabilities, the A100 takes center stage as the engine of the NVIDIA data center platform.

This remarkable GPU delivers unprecedented acceleration at every scale, allowing data centers to unlock new levels of performance and efficiency. Compared to the previous generation NVIDIA Volta™, the A100 offers an astounding up to 20 times higher performance. Its cutting-edge architecture and Tensor Core technology revolutionize the way AI, data analytics, and HPC workloads are processed, enabling businesses to tackle complex tasks with unparalleled speed and accuracy.

NVIDIA A100 Tensor Core  Graph

The NVIDIA A100 Tensor Core technology is a versatile solution that caters to a wide range of workloads with its comprehensive support for various math precisions. It stands out as a single accelerator that can handle diverse computational tasks efficiently.

NVIDIA A100 Tensor Core  Graph

Linux A100 GPU Dedicated Compute

Plan GPU Memory vCPUs Dedicated RAM NVMe SSD Storage Monthly Billing Duration
A100-LIX-01 1 x 40 GB 16 vCPUs 115 GB 1500 GB ₹71,250
A100-LIX-02 2 x 40 GB 32 vCPUs 230 GB 3000 GB ₹1,42,500
A100-LIX-03 4 x 40 GB 64 vCPUs 460 GB 6000 GB ₹2,85,000
A100-LIX-04 8 x 40 GB 128 vCPUs 920 GB 6000 GB ₹6,65,000
A100-LIX-05 1 x 80 GB 16 vCPUs 115 GB 1500 GB ₹95,000
A100-LIX-06 2 x 80 GB 32 vCPUs 230 GB 3000 GB ₹1,90,000
A100-LIX-07 4 x 80 GB 64 vCPUs 460 GB 6000 GB ₹3,80,000

Windows A100 GPU Dedicated Compute

Plan GPU Memory vCPUs Dedicated RAM NVMe SSD Storage Monthly Billing Duration
A100-WIN-01 1 x 40 GB 16 vCPUs 115 GB 1500 GB ₹75,671
A100-WIN-02 2 x 40 GB 32 vCPUs 230 GB 3000 GB ₹1,50,085
A100-WIN-03 2 x 40 GB 64 vCPUs 460 GB 6000 GB ₹2,98,913
A100-WIN-04 8 x 40 GB 128 vCPUs 920 GB 6000 GB ₹6,91,569
A100-WIN-05 1 x 80 GB 16 vCPUs 115 GB 1500 GB ₹99,421
A100-WIN-06 2 x 80 GB 32 vCPUs 230 GB 3000 GB ₹1,97,585
A100-WIN-07 4 x 80 GB 64 vCPUs 460 GB 6000 GB ₹3,93,913

Linux A40 GPU Dedicated Compute

Plan GPU Memory vCPUs Dedicated RAM NVMe SSD Storage Monthly Billing Duration
A40-LIX-01 1 x 48 GB 16 vCPUs 100 GB 750 GB ₹51,775
A40-LIX-02 2 x 48 GB 32 vCPUs 200 GB 1500 GB ₹1,03,550
A40-LIX-03 4 x 48 GB 64 vCPUs 400 GB 3000 GB ₹2,07,100

Windows A40 GPU Dedicated Compute

Plan GPU Memory vCPUs Dedicated RAM NVMe SSD Storage Monthly Billing Duration
A40-WIN-01 1 x 48 GB 16 vCPUs 100 GB 750 GB ₹56,907
A40-WIN-02 2 x 48 GB 32 vCPUs 200 GB 1500 GB ₹1,12,208
A40-WIN-03 4 x 48 GB 64 vCPUs 400 GB 3000 GB ₹2,22,811

Linux A30 GPU Dedicated Compute

Plan GPU Memory vCPUs Dedicated RAM NVMe SSD Storage Monthly Billing Duration
A30-LIX-01 1 x 24 GB 16 vCPUs 90 GB 640 GB ₹38,000
A30-LIX-02 2 x 24 GB 32 vCPUs 180 GB 1280 GB ₹76,000
A30-LIX-03 4 x 24 GB 64 vCPUs 360 GB 2560 GB ₹1,52,000

Windows A30 GPU Dedicated Compute

Plan GPU Memory vCPUs Dedicated RAM NVMe SSD Storage Monthly Billing Duration
A30-WIN-01 1 x 24 GB 16 vCPUs 90 GB 640 GB ₹42,777
A30-WIN-02 2 x 24 GB 32 vCPUs 180 GB 1280 GB ₹83,940
A30-WIN-03 4 x 24 GB 64 vCPUs 360 GB 2560 GB ₹1,66,268

Linux V100 GPU Dedicated Compute

Plan GPU Memory vCPUs Dedicated RAM NVMe SSD Storage Monthly Billing Duration
V100-LIX-01 1 x 32 GB 8 vCPUs 120 GB 900 GB ₹40,000
V100-LIX-02 2 x 32 GB 16 vCPUs 240 GB 1800 GB ₹60,000
V100-LIX-03 4 x 32 GB 32 vCPUs 480 GB 3600 GB ₹1,71,000

Windows V100 GPU Dedicated Compute

Plan GPU Memory vCPUs Dedicated Ram NVMe SSD Storage Monthly Billing Duration
V100-WIN-01 1 x 32 GB 8 vCPUs 120 GB 900 GB ₹50,349
V100-WIN-02 2 x 32 GB 16 vCPUs 240 GB 1800 GB ₹75,671
V100-WIN-03 4 x 32 GB 32 vCPUs 480 GB 3600 GB ₹1,78,585

Linux L4 GPU Dedicated Compute

Plan GPU Memory vCPUs Dedicated RAM NVMe SSD Storage Monthly Billing Duration
NVIDIA-1x-Lin-L4 24 GB 24 vCPUs 110 GB 250 GB ₹30,167
NVIDIA-2x-Lin-L4 48 GB 50 vCPUs 220 GB 250GB ₹60,334
NVIDIA-4x-Lin-L4 96 GB 100 vCPUs 440 GB 250GB ₹1,20,669
NVIDIA-8x-Lin-L4 192 GB 200 vCPUs 880 GB 250GB ₹2,41,338

Windows L4 GPU Dedicated Compute

Plan GPU Memory vCPUs Dedicated RAM NVMe SSD Storage Monthly Billing Duration
NVIDIA-1x-Win-L4 24 GB 16 vCPUs 64 GB 250 GB ₹35,485
NVIDIA-2x-Win-L4 48 GB 32 vCPUs 128 GB 250GB ₹69,338
NVIDIA-4x-Win-L4 96 GB 64 vCPUs 256 GB 250GB ₹1,37,045
NVIDIA-8x-Lin-L4 192 GB 128 vCPUs 512 GB 250GB ₹2,72,458

Linux L40S GPU Dedicated Compute

Plan GPU Memory vCPUs Dedicated RAM NVMe SSD Storage Monthly Billing Duration
NVIDIA-1xL40S 48 GB 25 vCPUs 220 GB 250 GB ₹95,000
NVIDIA-2xL40S 96 GB 50 vCPUs 440 GB 250 GB ₹1,90,000
NVIDIA-4xL40S 192 GB 100 vCPUs 100 GB 250 GB ₹3,80,000

Windows L40S GPU Dedicated Compute

Plan GPU Memory vCPUs Dedicated RAM NVMe SSD Storage Monthly Billing Duration
NVIDIA-1xL40S 48 GB 25 vCPUs 220 GB 250 GB ₹1,02,600
NVIDIA-2xL40S 96 GB 50 vCPUs 440 GB 250 GB ₹2,03,150
NVIDIA-4xL40S 192 GB 100 vCPUs 880 GB 250 GB ₹4,04,669

Linux T4 GPU Dedicated Compute

Plan GPU Memory vCPUs Dedicated RAM NVMe SSD Storage Monthly Billing Duration
T4-LIX-01 1 x 16 GB 12 vCPUs 50 GB 900 GB ₹16,625
T4-LIX-02 2 x 16 GB 24 vCPUs 100 GB 1800 GB ₹34,200

Windows T4 GPU Dedicated Compute

Plan GPU Memory vCPUs Dedicated RAM NVMe SSD Storage Monthly Billing Duration
T4-WIN-01 1 x 16 GB 12 vCPUs 50 GB 900 GB ₹20,255
T4-WIN-02 2 x 16 GB 24 vCPUs 100 GB 1800 GB ₹40,203

Linux H100 GPU Dedicated Compute

Plan GPU Memory vCPUs Dedicated RAM NVMe SSD Storage Monthly Billing Duration
NVIDIA-8xH100 640 GB 200 vCPUs 1800 GB 21000 GB 19,00,000

Applications & Use Cases for GPU Hosting Server

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The A100 introduces a significant upgrade with its third-generation Tensor Core, surpassing the performance of the V100 while providing extensive support for deep learning (DL) and high-performance computing (HPC) data types. Alongside this enhancement, it also introduces a new Sparsity feature that further doubles the throughput.

The A100 introduces the new TensorFloat-32 (TF32) Tensor Core operations, offering a seamless way to accelerate FP32 input/output data in deep learning (DL) frameworks and high-performance computing (HPC) workloads. These operations run 10 times faster than the V100 FP32 FMA (fused multiply-add) operations, and when combined with sparsity, they achieve a staggering 20 times faster performance.

The A100 introduces powerful Bfloat16 (BF16)/FP32 mixed-precision Tensor Core operations, delivering performance on par with FP16/FP32 mixed-precision computations. This enables seamless acceleration of deep learning (DL) workloads while maintaining accuracy. Additionally, Tensor Core acceleration extends to INT8, INT4, and binary data types, providing comprehensive support for DL inferencing. Notably, the A100’s sparse INT8 operations outperform V100 INT8 by a remarkable 20 times.

In the realm of high-performance computing (HPC), the A100 Tensor Core is equipped with new IEEE-compliant FP64 processing. It offers a substantial performance boost, delivering 2.5 times the FP64 processing capability of the V100. This advancement empowers researchers, scientists, and engineers in the HPC domain to tackle complex calculations and simulations with increased efficiency and speed.

The NVIDIA A100 GPU is designed to excel in accelerating both large complex workloads and smaller workloads with efficiency. It empowers data centers to handle unpredictable workload demands by offering fine-grained workload provisioning, increased GPU utilization, and improved total cost of ownership (TCO). With impressive speedups compared to the V100, the A100 delivers exceptional performance for AI training and inference workloads, as depicted in Figure 2. Furthermore, Figure 3 highlights significant performance enhancements across various HPC applications. The A100 sets a new standard for computational power and versatility in the realm of GPU computing.

Enhancing Performance and Efficiency with Advanced GPU Servers

Ultra-Fast GPU Server
Ultra-Fast GPU Server

Rapidly deploy high-performance GPU servers for quick access to powerful computing capabilities in AI, deep learning, research, and data analysis.

GPU Acceleration
GPU Acceleration

The inclusion of powerful GPUs in servers enables faster data processing, model training, and inference for AI, machine learning, and deep learning workloads.

Scalability
Scalability

GPU servers offer scalable computing resources, enabling users to adjust capacity as needed for optimal performance and resource utilization in applications.

Memory Capacity
Memory Capacity

GPU servers typically provide ample memory capacity, facilitating the handling of large datasets and complex algorithms without running into memory limitations

Multiple GPU Support
Multiple GPU Support

Our GPU hostings support multiple GPUs, enabling parallel processing and distributed computing, further enhancing performance and speeding up processing times.

Remote Accessibility
Remote Accessibility

GPU servers can be accessed remotely, allowing users to leverage their computational power from anywhere, anytime, using secure connections.

Flexibility
Flexibility

GPU servers offer customizable hardware and software setups, providing flexibility for users to tailor their server environment to specific requirements.

Energy Efficiency
Energy Efficiency

GPU servers often incorporate power-efficient GPU architectures and advanced cooling systems to ensure optimal energy consumption and reduced operating costs.

Explore our VPS with GPU options if you’re looking for a more flexible solution. Our VPS offerings provide a balance between performance and cost-effectiveness, making them an ideal choice for smaller projects or businesses on a budget.

A huge Breakthroughs in GPU architecture

The NVIDIA A100 GPU is a technical layout step forward this is fueled through 5 key innovations, and the final results of theseimprovements bring about 6x better overall performance than NVIDIA’s preceding technology Volta structure for education and 7x better overall performance for inference.The improvements are referred to below:

  1. NVIDIA Ampere Architecture: At the center of this chip is the NVIDIA Ampere GPU structure that containsextra than fifty four billion transistors and hence, making it the most important 7-nanometer processor withinside the world
  2. Third-generation Tensor Cores with TF32: The A100 consists of new TF32 for synthetic intelligence that lets in foras much as 20x the AI overall performance of FP32 precision, with out making any modifications withinside the code.
  3. Multi-Instance GPU: Multi-example GPU or MIG is a brand new era that lets in a couple of networksTo perform concurrently on a unmarried A100 GPU for most useful usage of computing resources. It allows a unmarried A100 GPU to be partitioned into as many as seven separate GPUs so as to delivervarious levels of computing for jobs of various sizes whilst imparting premiere usage in addition to maximizing go back on investment.
  4. Third-Generation NVIDIA NVLink: The 3rd-technology NVIDIA NVLink allows in doubling the high-tempo connectivity amongst GPUs, and for that reason provide inexperienced standard overall performance scaling in a server.
  5. Structural Sparsity: Structural sparsity is a brand new approach that harnesses the inherently sparse nature of AI math to double the performance.

The advantages of GPU servers

  • Enhanced Performance: GPU servers excel at parallel processing, making them highly efficient for computationally intensive tasks like AI, deep learning, scientific simulations, and data analysis. The parallel architecture of GPUs allows for faster execution of tasks compared to traditional CPUs.
  • Accelerated Machine Learning: GPUs are widely used in machine learning applications. GPU servers provide the necessary computing power to train complex models and process large datasets, reducing training time and enabling faster iteration and experimentation.
  • Scalability: Our GPU Server Hosting offer scalability options, allowing users to scale up or down their computing resources based on the changing needs of their applications. This ensures optimal performance and resource utilization, as users can allocate GPU resources as required.
  • Customizability: GPU servers allow users to customize hardware configurations and software setups according to their specific requirements. This flexibility enables the creation of tailored server environments optimized for specific workloads.
  • Cost-Effectiveness: GPU servers can provide cost savings compared to building and maintaining in-house GPU infrastructure. By utilizing GPU servers on a pay-as-you-go or subscription basis, users can access powerful computing capabilities without the upfront costs of purchasing and managing dedicated hardware.
  • Remote Access and Collaboration: GPU servers can be accessed remotely, enabling users to utilize the computing power from anywhere with an internet connection. This allows for collaboration among distributed teams and facilitates remote work scenarios.
  • Efficient Resource Utilization: GPU servers optimize resource utilization by distributing the workload across multiple GPUs. This parallel processing capability allows for higher throughput and more efficient utilization of computing resources.
  • Infrastructure Stability: GPU servers are typically built on robust and reliable infrastructure, ensuring stable and uninterrupted operation even under heavy workloads. This reliability is crucial for mission-critical applications and prevents downtime and disruptions.
  • Virtualization Support: Many GPU servers support virtualization technologies, allowing for the efficient sharing and allocation of GPU resources among multiple users or virtual machines. This enables better resource utilization and cost savings in multi-tenant or virtualized environments.
  • Real-time Insights and Management: GPU servers often come with monitoring and management tools that provide real-time insights into GPU utilization, performance metrics, and resource allocation. These tools facilitate efficient management, troubleshooting, and optimization of the GPU server infrastructure.

HostingRaja GPU Server FAQ’s

Using a GPU server offers several advantages, including:

  • Accelerated computing: GPUs are highly efficient at parallel processing, enabling faster and more efficient computations compared to traditional CPUs.
  • Enhanced performance: GPU servers can handle complex workloads and perform computationally intensive tasks at a much higher speed.
  • Deep learning capabilities: GPUs excel at deep learning tasks, making them ideal for training and running neural networks.
  • Improved scalability: GPU servers can be scaled up to accommodate larger datasets and more demanding workloads, allowing for seamless expansion as computational needs grow.

GPU servers are well-suited for various applications, including:

  • Machine learning and AI: GPU servers provide the computational power required for training and inference in machine learning and AI algorithms.
  • Data analytics: GPU servers accelerate data processing and analysis, enabling faster insights and decision-making.
  • Scientific simulations: GPU servers are commonly used in scientific research for running simulations and modeling complex phenomena.
  • Video rendering and editing: GPUs excel at rendering high-quality graphics and processing video content, making them essential for media production tasks.

When selecting a GPU server, consider factors such as:

  • GPU specifications: Look for servers with high-performance GPUs, such as the latest NVIDIA or AMD GPUs, that meet your specific requirements.
  • Memory and storage: Ensure that the server has sufficient memory and storage capacity to handle your workload.
  • Scalability: Consider the potential for future growth and choose a server that allows for easy scalability.
  • Power and cooling requirements: GPU servers can generate significant heat, so ensure that your infrastructure can support their power and cooling needs.

While GPU servers are primarily designed for professional computing tasks, some users may leverage them for cloud-based gaming services. However, traditional gaming setups with dedicated gaming PCs or consoles are more common for individual gamers.

GPU servers are compatible with various operating systems, including popular options like Windows Server, Linux distributions (such as Ubuntu, CentOS, or Red Hat Enterprise Linux), and specialized GPU-accelerated frameworks like NVIDIA CUDA or TensorFlow.

To maximize the performance of your GPU server, consider the following tips:

  • Utilize GPU-optimized software and frameworks to leverage the full power of the GPUs.
  • Ensure that your drivers and software are up to date.
  • Optimize your code for parallel processing to take advantage of the GPU's capabilities.
  • Monitor and manage system resources effectively to avoid bottlenecks and optimize performance.

In most cases, GPU servers allow for GPU upgrades. However, it is recommended to check with the server manufacturer or consult with a professional to ensure compatibility and proper installation.

Support options for GPU servers may vary depending on the server manufacturer or service provider. Typically, options include technical support, maintenance contracts, and online documentation or forums for troubleshooting and assistance.

While GPUs have been used for cryptocurrency mining in the past, the increasing complexity and specialized hardware requirements make GPU servers less suitable for this purpose. Dedicated mining rigs with multiple GPUs are more commonly used for cryptocurrency mining.

Reviews from GPU Server Customers
  • Profile

    Durga

    14 Feb 2023
    ★★★★★

    I am Durga from Star Web Maker Services Pvt Ltd, specializing in website and application development, I recently faced a challenging project where my customer’s application demanded high GPU and CPU resources, handling over 1000+ concurrent requests. Being a long-standing customer of hostingraja, using their VPS and Cloud services for the past 4 to 5 years, I reached out to my account manager, Sandeep, to address this requirement. He promptly suggested their newly launched GPU servers, and I decided to give it a try. Impressed with the exceptional support and blazing-fast server speed, I am delighted to share that I have already signed up for two GPU servers on a monthly plan. Hostingraja has once again proven their reliability and commitment to delivering top-notch services for my critical projects. Happy to be a customer of HostingRaja since 2018 I recently purchased a Node.js server from HostingRaja, and I must say it’s an incredibly user-friendly tool. Making changes through the OVI panel reflects instantly on the backend, making the whole process very efficient. Not only is it faster, but it’s also affordable, which is a big plus. Overall, HostingRaja’s Node.js server has been easy to work with.

  • Profile

    Rathinakumar

    08 May 2023
    ★★★★★

    I am Mr. Rathinakumar from Webnox technologies pvt ltd is an website and application development company located in Tamil Nadu. I signup with other provider when i started my company in 2013 by purchasing reseller hosting plan. But i was really frustrated because of website hacking issue most of my websites was getting hacked and other service was not able to give me a proper solution because they where not maintaining backup of the server. due to this i started losing main clients. Started searching for alternative option and found HostingRaja in 2014 which was an startup company i was really scared to signup with them but after talking to the sales person in HostingRaja i got some trust and registered for reseller hosting plan and migrated to hostingraja. Till date 2023 i am using HostingRaja without any issues and i really feel happy to do more business with HostingRaja. am going to share my personal experience to who plan to start the business online. I was planning to buy one server which is performing best for business. Searched a lot and finally found one Indian company for my website. I personally thanks to set up my web server with expert support. Their services are highly recommended, especially for startups.

  • Profile

    Varun Kapoor

    21 Jun 2023
    ★★★★★

    I take great pride in having referred numerous customers to HostingRaja, resulting in a substantial contribution of over 12,00,000/- INR to their business. The reason for my immense satisfaction lies in the exceptional support provided by HostingRaja, which has consistently ensured the happiness and contentment of my clients with their servers and services.’s Linux VPS server has truly impressed me with its technical capabilities. The server’s performance is exceptional, delivering fast loading times and seamless operation for my website. The resources allocated to my VPS are robust and reliable, allowing me to handle resource-intensive applications without any lag or slowdown. The Linux environment provided by HostingRaja is highly stable and secure, ensuring the utmost protection for my data and applications. Additionally, the flexibility and customization options offered by HostingRaja have allowed me to tailor my server configuration to perfectly meet my specific requirements. I am thoroughly satisfied with HostingRaja’s Linux VPS server and would highly recommend it to anyone in need of a powerful and dependable hosting solution.

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