In the fast-evolving world of cloud computing and data processing, having the right infrastructure is essential to stay ahead. At FlokiNET, we understand that combining powerful servers with high-performance Graphics Processing Units (GPUs) can transform the way businesses approach AI, machine learning, gaming, and data analytics.

What is a GPU?

A GPU is a specialized hardware component designed for rendering graphics, processing images, and handling computations that require high parallel processing power. Initially used in gaming and graphics-intensive tasks.

How does  a GPU differ from a CPU?

Unlike the Central Processing Unit (CPU), which is designed for serial processing (handling one task at a time), the GPU can process thousands of smaller tasks simultaneously. This makes GPUs extremely efficient for parallel processing tasks like deep learning, image rendering, and big data analytics.

  • CPU: Optimized for general-purpose computing tasks, handling a few tasks sequentially.
  • GPU: Specialized for parallel processing, excelling in tasks that require massive simultaneous computations.

What GPUs do we offer at FlokiNET?

At FlokiNET, we offer a range of GPU dedicated servers equipped with top-tier Nvidia GPUs to meet diverse computational needs.

1. NVIDIA A100:

 

  • Tensor precision: (TF32, BFLOAT16, FP16, INT8)
  • Ideal for high-precision tasks such as scientific computing, engineering applications, physics simulations, deep learning training and inference. A versatile choice for data centers focused on AI, machine learning, and HPC workloads.
  • A perfect match with the following dedicated servers: DL380 Gen 10 and DL385 Gen 10 Plus V2!
2. NVIDIA L40S:
  • Tensor precision: (FP32, TF32, BFLOAT16, FP16, FP8, INT8)
  • The BEST universal GPU is built on the NVIDIA Ada Lovelace architecture and boasts exceptional performance for a wide array of applications: Generative AI, image generation (~200 stable diffusion images/minute), Large Language Model (LLM) Inference, 3D Graphics, Rendering, video processing.
  • The L40S is data center-ready, offering reliability, security features like secure boot, and compliance with industry standards like NEBS Level 3.
  • Excels in for deep learning, AI training and inference, edge computing and real-time video analytics.
  • Another perfect match with our DL380 Gen 10, DL385 Gen 10 Plus V2!
3. NVIDIA L4 Tensor Core GPU:
  • Tensor precision: (FP32, TF32, BFLOAT16, FP16, FP8, INT8)
  • Versatile accelerator designed to enhance a wide array of workloads, including video processing, AI tasks, virtual desktops, and graphics rendering. Leveraging the NVIDIA Ada Lovelace architecture and fourth-generation Tensor Cores, it delivers exceptional energy efficiency and up to 120X faster AI video performance compared to CPU-based solutions. Its single-slot, low-profile form factor makes it easy to integrate into various server environments.
  • Efficient in for inference tasks, media processing, virtualized workloads, edge AI, real-time video processing, IoT applications, smart devices, and financial AI. Ideal for the following dedicated servers: DL360 Gen 10, DL360 Gen 11 and BL460c Gen 10!
4. NVIDIA A2:
  • Tensor precision: (FP32, TF32, BFLOAT16, FP16, INT8)
  • Suitable for entry-level AI inference, edge computing, and virtualization tasks. Its low power consumption and compact design make it ideal for smart devices, real-time analytics, and mobile AI applications. It is an excellent choice for edge deployments and scenarios requiring efficient performance in constrained environments. Perfect match with DL360 Gen 10, DL360 Gen 11 and BL460c Gen 10!
5. NVIDIA T4:
  • Tensor precision: (FP32, FP16, INT8)
  • Designed for a wide range of modern applications including machine learning, deep learning, and virtual desktops. Its energy-efficient design and small form factor make it ideal for mainstream enterprise servers, cloud computing, and edge deployments. The T4 is particularly effective for inference tasks, media processing, and virtual desktop infrastructure (VDI). Compact, energy-efficient powerhouse designed for diverse workloads.  Another perfect match with DL360 Gen 10, DL360 Gen 11 and BL460c Gen 10!

Integrating GPU with FlokiNET’s dedicated servers gives you the tools needed to stay ahead in an increasingly data-driven world. FlokiNET offers high-performance GPU server hosting options that come with GPUs optimized for CUDA (Compute Unified Device Architecture). For more details you can check our Blog article.

Whether you’re running machine learning models, processing big data, or powering cloud gaming services, FlokiNET’s GPU solutions offer the performance, and flexibility your business needs.

 

Thank you for choosing FlokiNET!

 

 

 

 



Friday, November 15, 2024

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