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Introduction

Linux GPU Server

Linux GPU servers are powerful computing systems optimized for parallel processing tasks using Graphics Processing Units (GPUs). They run on Linux OS, offering flexibility and robustness. These servers are widely used in fields requiring high computational power, such as artificial intelligence (AI), machine learning (ML), deep learning, scientific simulations, and data analytics.
Key features include high performance, scalability, and compatibility with various GPU architectures like NVIDIA and AMD. They support frameworks like TensorFlow, PyTorch, and CUDA, enhancing their utility in developing and deploying AI models. Linux's open-source nature allows extensive customization and integration with different software tools, providing a versatile environment for research and development.
Common configurations involve multiple GPUs to maximize processing capabilities, coupled with ample RAM and storage to handle large datasets. Linux GPU servers are essential in accelerating computational tasks, reducing processing time, and enabling advanced research and technological innovations.

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GPU Resource Management:

Efficient management and allocation of GPU resources to optimize performance for AI/ML workloads, gaming, and rendering tasks. Tools like NVIDIA's GPU Management Library (NVML) allow for monitoring GPU usage, managing processes, and ensuring that GPU resources are used effectively across applications.

Performance Tuning and Optimization:

Optimize the performance of GPU workloads on Linux by tuning system parameters, managing GPU drivers, and using tools like nvidia-smi to monitor and adjust GPU performance in real-time. This is crucial for maximizing the throughput of AI training models, rendering tasks, and gaming sessions.

Access Control and User Permissions:

Implement granular access control to GPU resources on Linux using tools like cgroups and Role-Based Access Control (RBAC). This ensures that only authorized users or processes can access GPU resources, preventing resource contention and maintaining security in multi-user environments.

Identity and Authentication Management:

Secure user access to Linux GPU servers with strong identity management practices, including LDAP integration and multi-factor authentication. This ensures that only verified users can access GPU resources, safeguarding critical workloads and data.

Data Security and Encryption:

Protect sensitive data processed on Linux GPU servers by using disk encryption with tools like LUKS and ensuring secure data transfer with SSH or TLS. This is essential for safeguarding proprietary gaming assets, AI models, and research data from unauthorized access or tampering.

Key Management for Cryptographic Operations:

Secure management of cryptographic keys used in GPU-accelerated applications, such as AI/ML encryption algorithms or game licensing systems. Tools like gnupg or Vault can be used to store and manage these keys securely on Linux, ensuring they are only accessible by authorized processes.

Network Security and Traffic Management:

Control and secure network traffic to and from Linux GPU servers using firewall tools like iptables and security groups. This includes protecting against unauthorized access, DDoS attacks, and ensuring secure communication between distributed GPU workloads or multiplayer gaming servers.

Compliance and Security Standards:

Adherence to security and compliance standards relevant to Linux environments, such as PCI-DSS for payment systems in gaming or HIPAA for healthcare-related AI applications. Regular audits and the use of tools like OpenSCAP can help maintain compliance and secure sensitive workloads.

Containerization and GPU Workload Management:

Use containerization tools like Docker with GPU support (via NVIDIA Docker) to efficiently manage and deploy GPU-accelerated applications. This allows for easy scaling, isolation, and management of GPU resources, crucial for running multiple AI models, gaming servers, or other GPU-intensive applications simultaneously.

NVIDIA A SERIES

NVIDIA's A series comprises high-performance GPUs tailored for diverse computational tasks. Leading the pack is the A100, a powerhouse designed for AI training and inference, scientific computing, and data analytics. With its groundbreaking Ampere architecture, the A100 delivers exceptional performance and scalability, making it a preferred choice for demanding workloads in data centers. The A40 follows closely, catering to professional visualization and virtualization needs, offering robust performance for graphics-intensive applications. Meanwhile, the A30 targets virtualized workloads, delivering efficient performance for virtual desktop infrastructure (VDI) and AI inference tasks. Each GPU within the A series is optimized for specific applications, providing a range of options to suit various computing requirements. From cutting-edge AI research to high-fidelity graphics rendering, NVIDIA's A series offers a comprehensive solution for modern computational challenges.

A100 GPU Server Plans

The NVIDIA A100 GPU server is a powerhouse designed for demanding computational tasks. It excels in fields like AI, ML, data analytics, and scientific simulations. Available in two configurations, the A100-40GB and A100-80GB, it caters to different levels of workload intensities. The A100-40GB variant is optimal for tasks requiring high computational power with large but manageable datasets. The A100-80GB variant offers expanded memory capacity, making it suitable for extremely large datasets and more intensive computational needs. Both models deliver exceptional performance, scalability, and efficiency, ensuring seamless integration into various high-performance computing environments.

40GB GPU Card

Package GPU Card (A100-40GB) Total GPU Memory CPU Dedicated RAM Disk Space Price
A100-40-1 1 x 40 GB 16 Core 115 GB 1500 GB ₹ 75000.00 Purchase Now
A100-40-2 2 x 80 GB 32 Core 230 GB 3000 GB ₹ 150000.00 Purchase Now
A100-40-3 4 x 160 GB 64 Core 460 GB 6000 GB ₹ 300000.00 Purchase Now

80GB GPU Card

Package GPU Card (A100-80GB) Total GPU Memory CPU Dedicated RAM Disk Space Price
A100-80-1 1 x 80 GB 16 Core 115 GB 1500 GB ₹ 100000.00 Purchase Now
A100-80-2 2 x 160 GB 32 Core 230 GB 3000 GB ₹ 200000.00 Purchase Now
A100-80-3 4 x 320 GB 64 Core 460 GB 6000 GB ₹ 400000.00 Purchase Now
A100-80-4 4 x 320 GB 128 Core 900 GB 250 GB ₹ 472000.00 Purchase Now

A40 GPU Server Plans

The NVIDIA A40 GPU server is designed for demanding computational tasks, specializing in AI, ML, and data analytics. With its powerful 48GB GPU card, it efficiently manages large datasets and complex algorithms, accelerating processing tasks. The A40 GPU server offers exceptional performance and scalability, making it suitable for various applications, including research, development, and enterprise solutions. Its robust architecture and high memory capacity enable seamless execution of advanced computational workflows, contributing to enhanced productivity and innovation. Whether for scientific simulations, deep learning, or accelerated computing, the A40 GPU server provides the computational power and reliability needed to tackle modern computing challenges effectively.

Package GPU Card (A40-48GB) Total GPU Memory CPU Dedicated RAM Disk Space Price
A40-48-1 1 x 48 GB 16 Core 100 GB 750 GB ₹ 54500.00 Purchase Now
A40-48-2 2 x 96 GB 32 Core 200 GB 1500 GB ₹ 109000.00 Purchase Now
A40-48-3 4 x 192 GB 64 Core 400 GB 3000 GB ₹ 218000.00 Purchase Now

A30 GPU Server Plans

The NVIDIA A30 GPU server is tailored for intensive computational tasks, particularly suited for AI, ML, and data analytics. Featuring a potent 24GB GPU card, it efficiently handles moderate to large datasets and complex algorithms. The A30 GPU server offers robust performance and scalability, making it an ideal choice for research, development, and enterprise applications requiring accelerated computing capabilities. Its architecture and memory capacity enable seamless execution of advanced computational workflows, contributing to enhanced productivity and innovation. Whether for scientific simulations, deep learning, or accelerated computing, the A30 GPU server provides the computational power and reliability needed to tackle modern computing challenges effectively.

Package GPU Card (A30-24GB) Total GPU Memory CPU Dedicated RAM Disk Space Price
A30-24-1 1 x 24 GB 16 Core 90 GB 640 GB ₹ 40000.00 Purchase Now
A30-24-2 2 x 48 GB 32 Core 180 GB 1280 GB ₹ 80000.00 Purchase Now
A30-24-3 4 x 96 GB 64 Core 360 GB 2560 GB ₹ 160000.00 Purchase Now

NVIDIA L SERIES

NVIDIA's L series graphics cards represent a cutting-edge advancement in GPU technology, catering primarily to high-performance computing and demanding gaming applications. These cards are renowned for their exceptional power efficiency and robust processing capabilities, making them a preferred choice among enthusiasts and professionals alike.
The L series GPUs are built on NVIDIA's latest architecture, incorporating state-of-the-art features such as advanced ray tracing and AI-enhanced graphics rendering. This enables them to deliver stunning visual fidelity and real-time performance, crucial for immersive gaming experiences and complex computational tasks.
Furthermore, NVIDIA's L series cards are designed with future-proofing in mind, supporting the latest industry standards and offering scalability for evolving software demands. This ensures longevity and reliability for users investing in high-end graphics solutions.

L4 GPU Server Plans

The NVIDIA L4 graphics card with 24GB of GPU memory offers unparalleled performance for intensive computing tasks and immersive gaming experiences. Its robust memory capacity enables seamless handling of vast datasets and ultra-high-resolution textures, crucial for professionals in design, engineering, and content creation. The L4's architecture leverages cutting-edge technologies like real-time ray tracing and AI-driven rendering enhancements, delivering stunning visuals and accelerating workflows. This makes it a top choice for users seeking uncompromising performance and reliability in tackling the most demanding computational challenges and pushing the boundaries of graphical excellence.

Package GPU Card (NV-L4-24GB) Total GPU Memory CPU Dedicated RAM Disk Space Price
Nvidea L4-24-1 1 x 24 GB 25 Core 110 GB 250 GB ₹ 31755.00 Purchase Now
Nvidea L4-24-2 2 x 48 GB 50 Core 220 GB 250 GB ₹ 63510.00 Purchase Now
Nvidea L4-24-3 4 x 96 GB 100 Core 440 GB 250 GB ₹ 127020.00 Purchase Now
Nvidea L4-24-4 8 x 192 GB 200 Core 880 GB 250 GB ₹ 254040.00 Purchase Now

L40 GPU Server Plans

The NVIDIA L40 graphics card is a powerhouse featuring an impressive 48GB of GPU memory, designed to excel in scenarios requiring massive data handling and high-resolution graphics. Ideal for professionals in fields such as scientific research, artificial intelligence, and large-scale simulations, its expansive memory capacity ensures seamless operation with large datasets and complex computations. The L40 leverages NVIDIA's latest architecture advancements, including advanced ray tracing capabilities and AI-driven enhancements, delivering unparalleled visual fidelity and computational performance. This makes it a formidable choice for users demanding cutting-edge technology to achieve exceptional results in both computational power and visual rendering quality.

Package GPU Card (NV-L40-48GB) Total GPU Memory CPU Dedicated RAM Disk Space Price
Nvidea L40-48-1 1 x 48 GB 25 Core 220 GB 250 GB ₹ 100000.00 Purchase Now
Nvidea L40-48-2 2 x 96 GB 50 Core 440 GB 250 GB ₹ 200000.00 Purchase Now
Nvidea L40-48-3 4 x 192 GB 100 Core 880 GB 250 GB ₹ 400000.00 Purchase Now

NVIDIA H SERIES

The H series GPUs boast unparalleled performance thanks to their advanced architecture, which integrates specialized hardware accelerators like tensor cores and high-bandwidth memory (HBM). This combination accelerates both traditional floating-point operations and newer AI-driven computations, delivering significant boosts in performance and efficiency.
One of the standout features of NVIDIA's H series is its scalability and flexibility. These cards support NVIDIA's Multi-Instance GPU (MIG) technology, allowing them to be partitioned into multiple smaller instances, each capable of independently running different workloads. This flexibility optimizes resource utilization and enhances productivity in data center environments where diverse computing tasks are managed simultaneously.
Moreover, the H series cards are equipped with extensive memory configurations, including models offering up to 80GB of GPU memory. This capacity enables handling of enormous datasets and complex simulations with ease, facilitating breakthroughs in fields that require vast computational resources.

NVIDIA H100 SERIES

The NVIDIA H100 GPU server represents a pinnacle in high-performance computing with its remarkable 80GB of GPU memory. Designed for handling the most demanding AI, deep learning, and scientific computing workloads, it excels in processing vast amounts of data swiftly and efficiently. The H100 leverages NVIDIA's latest GPU architecture, featuring advanced tensor cores and multi-instance GPU (MIG) capabilities, which enable it to accelerate complex computations and scale performance according to workload needs.

Package GPU Card (NV-H100-80GB) Total GPU Memory CPU Dedicated RAM Disk Space Price
Nvidea H100-80-1 1 x 80 GB 60 Core 330 GB 3500 GB ₹ 182500.00 Purchase Now
Nvidea H100-80-2 2 x 160 GB 120 Core 660 GB 7000 GB ₹ 365000.00 Purchase Now
Nvidea H100-80-3 4 x 320 GB 240 Core 1320 GB 14000 GB ₹ 730000.00 Purchase Now
Nvidea H100-80-4 8 x 640 GB 200 Core 1800 GB 21000 GB ₹ 999999.99 Purchase Now