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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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Tune your instances for quick query results
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
Costs may vary from business to business depending on various factors, such as location and storage requirements. ACE’s reliable and transparent pricing will help you estimate your spending. Please get in touch with us for a more specific price to your needs.
There are 10 RT Cores present in Ace NVIDIA A2.
As long as there are enough PCI slots, it is conceivable to fit two entirely separate GPUs into a single computer.
Yes, you can enjoy the advantages of hourly billing on Ace NVIDIA A2 GPU.
To avail free credits, you will need to pay $1 once for payment verification. On successful payment, Ace support team will intimate you ( email) to complete a mandatory KYC process, and post verification your wallet will be credited with $301 free credits. Credit valid upto 14-days.
Bottlenecking does not harm your computer’s components, including the CPU and GPU, and it does not affect the performance, whereas overvolting your CPU and GPU might destroy them.
Yes, Ace NVIDIA A2 is compatible with any CPU, however an older CPU might slow it down if you put them together.
You can request for increasing GPU quota by raising a ticket here, which will be approved within 24 hours and you’ll be able to resume your work at your convenience.