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Deliver more effective deployments having up to 1.6x better price-performance and 10% higher energy efficiency than former GPU generations.
Employ versatile inference acceleration to any server with a low 40-60W customizable thermal design power (TDP) and low-profile PCIe Gen4 card capabilities.
Handle the most challenging intensive computation in 3D graphics and enhance performance for demanding workloads to create a better experience for your project.
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Leverage fewer servers and less power to run machine learning inference, resulting in faster insights and processing at considerably lower costs, as well as improved accuracy with remarkable energy efficiency.
Strengthen the core of your infrastructure with NVIDIA A2, which includes secure boot and application processor recovery, prevent In-band firmware updates, and firmware rollback protection.
Expand your business by running advanced AI applications on NVIDIA A2 in any data center environment, regardless of the size or complexity of the underlying compute workloads.
Get 1.6x better performance and 10% more energy savings with NVIDIA A2 GPU in Intelligent Virtual Assistant (IVA) applications like smart cities, manufacturing, retail, and easily run IVA workloads to deliver more efficient deployments.
Utilize low power envelop with a Thermal Design Power (TDP) ranging from 60W to 40W and a low-profile form factor, which makes it suitable for any server, and use it for inference workloads and deployments.
Boost the performance of your system with NVIDIA A2 low-profile form factor with a 30% improvement in IVA along with consumption of much less power, resulting in more significant cost savings.
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Use 3rd generation Tensor Cores of NVIDIA A2 to support integer and floating point math precisions for accelerating deep learning, general purpose computing, and inference training in businesses across industries.
Stay competitive with the next-gen ray tracing acceleration to deliver superior performance, enhance image quality and deploy a wide range of rendering algorithms for generating digital images with NVIDIA A2 RT cores.
Experience outstanding inference outcomes with NVIDIA A2 across the edge, data center, and cloud, allowing AI-enabled applications to be deployed with fewer servers and resources.
Improve functioning and optimize utilization of a wide range of AI systems and applications, including machine learning, deep learning, and autonomous machines.
Use dedicated hardware to speed up tasks such as video decoding and encoding for the most common codecs, such as H.264, AV1, and VP9 decode.
Utilize NVIDIA A2 to render graphic technological advances, whether it is broadcast-grade streaming, dealing with numerous video feeds, or immersive AR and VR.
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Let us address the most common questions you have about NVIDIA A2 GPU
NVIDIA A2 is an advanced GPU with Tensor Cores, designed to accelerate the performance of deep learning and machine learning workloads.
NVIDIA A2 features include Tensor Cores, third-generation NVLink, PCIe Gen 4, RT Cores, multi-instance GPU, and up to 80 GB of HBM2 memory.
NVIDIA A2 provides faster performance, lower latency, higher throughput, and increased productivity, making it ideal for deep learning workloads.
Setting up NVIDIA A2 GPU on ACE Cloud is easy. First, sign up for ACE Cloud, choose NVIDIA A2 GPU as your preferred GPU, and create a new virtual machine with the desired configuration.
You can install and run popular deep learning frameworks such as TensorFlow, PyTorch, and MXNet on NVIDIA A2. ACE Cloud offers pre-configured VMs for deep learning workloads.
The NVIDIA A2 GPU price on ACE Cloud depends on factors such as location, storage needs, and usage. Contact ACE Cloud for a customized quote.
The technical specifications of NVIDIA A2 GPU on ACE Cloud include 80 GB of HBM2 memory, 1568 CUDA Cores, 64 Tensor Cores, and 1.5 GHz base clock.
You can upgrade the GPU quota for NVIDIA A2 on ACE Cloud by submitting a ticket to the support team. The upgrade is typically approved within 24 hours.
Yes, NVIDIA A2 can be used for other workloads besides deep learning. However, it is optimized for deep learning workloads.
ACE Cloud offers 24/7 technical support via phone, email, and chat. There is also a knowledge base with articles and tutorials for self-help.
Ace NVIDIA A2 has 10 RT Cores.
Yes, as long as there are enough PCI slots, you can fit two separate GPUs into a single computer.
Yes, you can enjoy hourly billing for Ace NVIDIA A2 GPU.
Pay $1 for payment verification and complete mandatory KYC process. After successful verification, your wallet will be credited with $301 free credits, which are valid for 7 days.
No, bottlenecking does not harm your computer’s components, including the CPU and GPU. Overvolting your CPU and GPU might damage them.
Yes, Ace NVIDIA A2 is compatible with any CPU. However, an older CPU might slow down the GPU.
You can ask support team to increase your GPU quota. Your request will be approved within 24 hours, and you can resume your work at your convenience.
Ace Cloud offers other GPU machines like NVIDIA A30 and NVIDIA A100 besides NVIDIA A2.