Is RTX 4090 better than A100?

The NVIDIA RTX 4090 and NVIDIA A100 are designed for different purposes. The RTX series focuses on gaming and consumer applications, while the A100 is part of the Ampere architecture tailored for data center and professional applications such as AI training and inference. The A100 offers features like Tensor Cores and Multi-Instance GPU (MIG) technology, making it well-suited for heavy AI workloads.

NVIDIA A100 Rental | Dedicated A100 40GB & 80GB GPU Servers

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Dedicated NVIDIA A100 GPU Hosting Pricing

Dedicated GPU A100 pairs with Dual E5-2697v4 CPU and 256GB RAM delivering high performance for AI, data analytics, and HPC applications.

Enterprise Dedicated GPU Server - A100(80GB)

GPU: A100(80GB)
CPU: 2 x 18-Core E5-2697v4
Memory: 256GB RAM
Disk: 240GB SSD+2TB NVMe+8TB SATA
Bandwidth: 100Mbps Unmetered
GPU Memory: 80 GB HBM2e

IP: 1 Dedicated IPv4
Location: USA

1mo3mo12mo24mo

$ 1559.00/mo

Enterprise Multi-GPU Dedicated Server - 4xA100

GPU: 4 x A100
CPU: 2 x 22-Core E5-2699v4
Memory: 512GB RAM
Disk: 240GB SSD+4TB NVMe+16TB SATA
Bandwidth: 1000Mbps Unmetered
NVLink: 6xNVLink
GPU Memory: 40 GB HBM2

IP: 1 Dedicated IPv4
Location: USA

1mo3mo12mo24mo

$ 1899.00/mo

Enterprise Dedicated GPU Server - A100

GPU: A100
CPU: 2 x 18-Core E5-2697v4
Memory: 256GB RAM
Disk: 240GB SSD+2TB NVMe+8TB SATA
Bandwidth: 100Mbps Unmetered
GPU Memory: 40 GB HBM2

IP: 1 Dedicated IPv4
Location: USA

1mo3mo6mo12mo24mo

$ 639.00/mo

NVIDIA A100 SERVER CONFIGURATIONS

Choose the Right NVIDIA A100 Server for Your Workload

Each NVIDIA A100 rental plan provides dedicated GPU resources for AI training, LLM inference, data analytics, and HPC. Select an NVIDIA A100 server by VRAM capacity, model size, training scale, and expected inference concurrency.

A100 40GB GPU Server

An A100 40GB GPU server is suited to model training, batch inference, data analytics, and GPU-accelerated research workloads that need enterprise-class compute without an 80GB memory requirement.

A100 80GB Server for Large Models

An A100 80GB server provides larger memory capacity for bigger LLMs, long-context inference, fine-tuning, and higher-throughput AI applications.

Multi-GPU A100 Dedicated Server

A multi-GPU A100 dedicated server is appropriate for distributed training, larger production workloads, and applications that benefit from multiple GPUs and high-bandwidth GPU-to-GPU communication.

NVIDIA A100 PCIe 40GB/80GB GPU SPECIFICATIONS

The NVIDIA A100 40GB and A100 80GB GPUs are both designed for high-performance computing (HPC), AI, and data analytics, but they cater to slightly different use cases due to differences in memory size and bandwidth.

Specifications

GPU Microarchitecture

Ampere

CUDA Cores

6,912

Tensor Cores

432

Memory

40GB HBM2 80GB HBM2e

Memory Clock Speed

1215 MHz

Memory Bus Width

5120 bit

Memory Bandwidth

1,555 GB/s 2,039 GB/s

FP16 (Tensor Cores) performance

312 TFLOPS

INT8 (Tensor Cores) performance

624 TOPS

FP16 (float) performance

77.97 TFLOPS (4:1)

FP32 (float) performance

19.5 TFLOPS

FP64 (float) performance

9.746 TFLOPS (1:2)

FP64 Tensor Core

19.49 TFLOPS

FP64

9.7 TFLOPS

Boost Clock

1410 MHz

Base Clock

1095 MHz

Technology Support

Tensor Cores

3rd Generation

OpenGL

N/A

OpenCL

3.0

DirectX

N/A

CUDA

8.0

Shader Model

N/A

Other Specifications

TDP

400W

System Interface

PCIe 4.0 x16

Nvidia A100 GPU Hosting Server Features

Hosted dedicated servers with A100 graphics delivers superior performance over integrated graphics.

NVIDIA AMPERE ARCHITECTURE

Whether using MIG to partition an A100 GPU into smaller instances or NVLink to connect multiple GPUs to speed large-scale workloads, A100 can readily handle different-sized acceleration needs, from the smallest job to the biggest multi-node workload. A100’s versatility means IT managers can maximize the utility of every GPU in their data center, around the clock.

THIRD-GENERATION TENSOR CORES

NVIDIA A100 delivers 312 teraFLOPS (TFLOPS) of deep learning performance. That’s 20X the Tensor floating-point operations per second (FLOPS) for deep learning training and 20X the Tensor tera operations per second (TOPS) for deep learning inference compared to NVIDIA Volta GPUs.

NEXT-GENERATION NVLINK

NVIDIA NVLink in A100 delivers 2X higher throughput compared to the previous generation. When combined with NVIDIA NVSwitch™, up to 16 A100 GPUs can be interconnected at up to 600 gigabytes per second (GB/sec), unleashing the highest application performance possible on a single server. NVLink is available in A100 SXM GPUs via HGX A100 server boards and in PCIe GPUs via an NVLink Bridge for up to 2 GPUs.

MULTI-INSTANCE GPU (MIG)

An A100 GPU can be partitioned into as many as seven GPU instances, fully isolated at the hardware level with their own high-bandwidth memory, cache, and compute cores. MIG gives developers access to breakthrough acceleration for all their applications, and IT administrators can offer right-sized GPU acceleration for every job, optimizing utilization and expanding access to every user and application.

HIGH-BANDWIDTH MEMORY (HBM2E)

With up to 80 gigabytes of HBM2e, A100 delivers the world’s fastest GPU memory bandwidth of over 2TB/s, as well as a dynamic random-access memory (DRAM) utilization efficiency of 95%. A100 delivers 1.7X higher memory bandwidth over the previous generation.

STRUCTURAL SPARSITY

AI networks have millions to billions of parameters. Not all of these parameters are needed for accurate predictions, and some can be converted to zeros, making the models “sparse” without compromising accuracy. Tensor Cores in A100 can provide up to 2X higher performance for sparse models. While the sparsity feature more readily benefits AI inference, it can also improve the performance of model training.

When to choose a GPU Server Rental A100 Hosting

The NVIDIA A100 Tensor Core GPU is the flagship product of the NVIDIA data center platform for deep learning, HPC, and data analytics. The platform accelerates over 2,000 applications, including every major deep learning framework. A100 is available everywhere, from desktops to servers to cloud services, delivering both dramatic performance gains and cost-saving opportunities.

Up to 3X Higher AI Training on Largest Models

Deep Learning Training

AI models are exploding in complexity as they take on next-level challenges such as conversational AI. Training them requires massive compute power and scalability. NVIDIA A100 Tensor Cores with Tensor Float (TF32) provide up to 20X higher performance over the NVIDIA Volta with zero code changes and an additional 2X boost with automatic mixed precision and FP16.

Up to 249X Higher AI Inference Performance Over CPUs

Deep Learning Inference

A100 introduces groundbreaking features to optimize inference workloads. It accelerates a full range of precision, from FP32 to INT4. Multi-Instance GPU (MIG) technology lets multiple networks operate simultaneously on a single A100 for optimal utilization of compute resources. And structural sparsity support delivers up to 2X more performance on top of A100’s other inference performance gains.

High-Performance Computing

NVIDIA A100 introduces double precision Tensor Cores to deliver the biggest leap in HPC performance since the introduction of GPUs. Combined with 80GB of the fastest GPU memory, researchers can reduce a 10-hour, double-precision simulation to under four hours on A100. HPC applications can also leverage TF32 to achieve up to 11X higher throughput for single-precision, dense matrix-multiply operations.

2X Faster than A100 40GB on Big Data Analytics Benchmark

High-Performance Data Analytics

Data scientists need to be able to analyze, visualize, and turn massive datasets into insights. But scale-out solutions are often bogged down by datasets scattered across multiple servers. Accelerated servers with A100 provide the needed compute power—along with massive memory, over 2 TB/sec of memory bandwidth, and scalability with NVIDIA® NVLink® and NVSwitch™, —to tackle these workloads.

Alternatives to dedicated servers with Nvidia A100

Get the ultimate deep learning, HPC, and data analytics experience with a GPU dedicated server that accelerates your applications.

Nvidia Tesla A40 Hosting

NVIDIA A40 combines the performance and features necessary for large-scale display experiences, VR, broadcast-grade streaming, and more.

RTX A5000 Hosting

Achieve an excellent balance between function, performance, and reliability. Assist designers, engineers, and artists to realize their visions.

GeForce RTX 4090 Hosting

Achieve an excellent balance between function, performance, and reliability. Assist designers, engineers, and artists to realize their visions.

Compare Related GPU Server Options

Need 80GB VRAM for larger models? Explore 80GB GPU servers. For A100 market comparisons, view our A100 server pricing comparison. For multi-card deployments, see multi-GPU server configurations.

FAQ of Rent A100 GPU Server

Answers to frequently asked questions about A100 GPU dedicated Server can be found here

Is the GPU dedicated server self-managed?

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Yes. But our experienced staff is always here and willing to help you with any kind of problems you may have with your rental GPU dedicated server. Please contact us online in a live chat or send us an email if you need any help.

How long will it take to set up A100 GPU dedicated servers?

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We usually need 24-48 hours for preparing a GPU dedicated server.

Why is your price more affordable and cheaper than other providers?

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We have been in the hosting business since 2005. This experience helps us design an economical and top-quality network as well as hardware and software infrastructure for our products. We do not provide phone support right now. It allows us to pass the savings to our clients.

Can I add more resources to my A100 GPU server?

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Yes, you can add more resources or other hardware configurations, such as CPU, Disk, RAM, and bandwidth, to your A100 hosting server.

What is NVIDIA A100 used for?

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NVIDIA A100 Tensor Core GPU delivers unprecedented acceleration at every scale to power the world's highest-performing elastic data centers for AI, data analytics, and HPC. Powered by the NVIDIA Ampere Architecture, A100 is the engine of the NVIDIA data center platform.

Should I choose an A100 40GB or A100 80GB server?

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Choose an A100 40GB GPU server for many training, inference, analytics, and HPC workloads. Choose an A100 80GB server when your model, batch size, or context length requires more GPU memory, especially for larger LLM inference and fine-tuning workloads.

Is Nvidia A100 good for gaming?

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The NVIDIA A100 is not primarily designed for gaming purposes. It is a high-performance GPU that is optimized for data center and professional applications, such as artificial intelligence training, inference, high-performance computing, and data analytics. While it is a powerful GPU, it may not provide the same level of gaming-specific features and optimizations as GPUs in NVIDIA's GeForce RTX series.

Is Nvidia A100 good for live streaming?

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The NVIDIA A100, while not specifically designed for live streaming, can still be used for that purpose due to its high computational power. For live streaming, NVIDIA's GeForce RTX series GPUs, such as the RTX 30 series, are generally more suitable. These gaming-focused GPUs offer features like dedicated hardware encoding (NVENC), which offloads the streaming workload from the CPU to the GPU, resulting in improved streaming performance and lower system impact.

What workloads are suitable for NVIDIA A100 rental?

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NVIDIA A100 rental is suitable for AI training, large-scale inference, data analytics, scientific computing, and GPU-accelerated research. A dedicated NVIDIA A100 server is especially useful when your workload needs stable performance, full GPU access, and predictable monthly infrastructure costs.

NVIDIA A100 Rental: Dedicated 40GB & 80GB GPU Servers