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Accelerate streaming, language processing, HPC, and machine learning to give your upcoming project an unmatched performance with Ace GPU instances.
Discover most potent Ace GPU instances, to process parallel data up to 1,000 times quicker.
Generate practical results and scale up the deployment of business solutions into production with the most powerful cloud GPU NVIDIA A100.
Accelerate the computing power and processing With NVIDIA A100 Tensor Core GPU
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Boost your most demanding high performance computing
Readily create scalable storage volumes and safeguard it via built-in replication, ensuring your data is extremely available, plus minimize the risk of system unavailability.
Integrate GPUs seamlessly into your current infrastructure to quickly and easily increase the parallel compute capacity of your stack.
Get 20X more performance with A100, and easily divide it up to 7 GPU instances, with separate GPU resources granted to multiple users simultaneously and enhance the computational power.
Utilize the A100 cluster, equipped with double-precision Tensor Cores, which offer the biggest boost when paired with 80GB of fastest memory, capable of running simulations in around 4 hours.
Enhance error and fault attribution, isolation, and containment with A100 special hardware acceleration features such as asynchronous copy and barrier, as well as task graph acceleration.
Accelerate mathematical operations and compute throughputs by 2x high bandwidth memory and faster cache, for better neural network compression and simplification research.
Scale up your infrastructure With hassle-free integration
Sign up today and enjoy free $300 credits
Multi-instance GPU for every workload
Facilitate accelerating IEEE-compliant FP64 computations of A100 that offer up to 2.5x performance to help HPC computing keep up with its constantly expanding computational needs.
Speed up various core architecture improvements that significantly improve data analytics workloads, including the new Sparsity feature, which accelerates math operations by up to 2x.
Leverage NVIDIA A100 to raise the standard for computing density & replace outdated infrastructure silos with a single platform for all AI, training & inference purposes.
Accelerate the development of a wide range of AI applications and systems, including machine and deep learning recommendation systems, robotics, self-driving automobiles, and other autonomous devices.
Achieve flawless input video decoding performance, matching the training and inference performance, which is high end-to-end throughput in a DL platform.
Expand one trillion parameter model in no time with the scaling functions built into A100 that outperforms the previous generation GPUs and delivers a major performance boost.
Know More. Do More.
Let us address the most common questions you might have about NVIDIA A100 GPU
NVIDIA A100 is a high-performance GPU designed for data centers, delivering exceptional computing power for AI, data analytics, and scientific computing.
The pricing of NVIDIA A100 on ACE depends on various factors, such as location and storage requirements. ACE offers transparent pricing, and clients can contact them for a personalized quote.
Clients can request a quota increase for NVIDIA A100 GPU on ACE by raising a ticket. The request will be processed within 24 hours, and clients can resume their work once the increase is approved.
ACE offers NVIDIA A2, NVIDIA A30, and NVIDIA A100 GPUs with different configurations, features, and pricing. Clients can choose the GPU that best suits their workload requirements.
Any client who completes a $1 payment and KYC verification is eligible for $300 + $1 credits on ACE. Clients can avail of $300 free credit by signing up using an email address and mobile number, and then completing payment verification. After successful completion, clients will receive $301 credits that are valid for up to 7 days.
NVIDIA A100 has 6912 CUDA cores, 432 Tensor Cores, 40 GB or 80 GB HBM2 memory, and a memory bandwidth of up to 1555 GB/s.
Using NVIDIA A100 in the cloud provides access to high-performance computing resources without the need to invest in expensive hardware infrastructure.
Yes, NVIDIA A100 is ideal for machine learning workloads, providing exceptional performance for deep learning algorithms.
The maximum number of virtual machines that can be created depends on the cloud provider’s infrastructure and licensing terms.
The amount of data that can be processed depends on the workload and the available resources. NVIDIA A100 is designed to handle large datasets and complex computations.
The cost of using NVIDIA A100 in the cloud varies depending on the cloud provider and the amount of resources used.
Yes, NVIDIA A100 is well-suited for scientific computing workloads, providing high-performance computing resources for simulations and modeling.
NVIDIA A100 provides significant improvements in performance, memory capacity, and energy efficiency compared to previous-generation GPUs.
The expected lifespan of NVIDIA A100 depends on usage and maintenance. Generally, it is expected to last for several years before becoming outdated or requiring replacement.
No, NVIDIA A100 is not compatible with all cloud providers. However, it is available on many major cloud platforms such as AWS, Azure, and Google Cloud.
Yes, NVIDIA A100 can be used for real-time applications that require high computational power, such as video processing and autonomous driving.
NVIDIA A100 uses an active cooling system with a heatsink and fan to dissipate heat generated during operation.
The power consumption of NVIDIA A100 varies depending on the workload and the configuration of the system. It typically ranges from 250 to 400 watts.
You can get started with NVIDIA A100 in the cloud by selecting a cloud provider that supports it, creating an account, and launching a virtual machine with NVIDIA A100 GPU resources.