The 5 greatest GPUs for deep studying in 2021

The editors of Solutions Review have compiled this list of the best GPUs for deep learning based on advice from experts in the field.

The best GPUs for deep learning and data science are becoming an increasingly important hardware requirement as practitioners scale analytics and machine learning. The challenge of finding the right graphics processor for your use case can be difficult for precisely this reason. Therefore, carefully project your current and future needs as the choice of GPU will largely depend on your workload. You also need to take into account that various products are better suited for personal than professional use.

With that in mind, our editors have compiled this list of the best GPUs for deep learning based on expert advice from some of the top contributors on Quora. We also consulted a 2021-Ready Deep Learning Hardware Guide from the folks at Towards Data Science which is another excellent resource. Each of the best GPUs for deep learning in this listing is featured in Amazon’s computer graphics card division. Only products with verified customer ratings will be considered.

Note: The best GPUs for deep learning are listed in order based on the total number of Amazon user ratings at the time of publication.

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The best GPUs for deep learning

NVIDIA Tesla K80Best of Solutions Review

SUMMARY: The NVIDIA Tesla K80 has been named “The World’s Most Popular GPU” and delivers exceptional performance. The GPU was developed to increase the throughput in real applications and at the same time to save data center energy compared to a pure CPU system. The increased throughput means improved performance. The K80 has 4992 NVIDIA CUDA cores with dual GPU design, 24 GB GDDR5 memory, 480 GB / s total memory bandwidth, ECC protection for increased reliability and server optimization.


  • Supports DirectX 12
  • Supports a range of use cases
  • Proven, reliable performance


  • No built-in fans
  • Requires passive cooling
  • Not ideal for very large workloads

OUR OPINION: The NVIDIA Tesla K80 combines two graphics processors to increase performance. As a dual-slot card, the NVIDIA Tesla K80 draws power from a 1x 8-pin power connector with a maximum power consumption of 300 W. This device has no display connectivity because it is not designed for connecting monitors. The Tesla K80 is connected to the rest of the system via a PCI Express 3.0 x16 interface.

Best of Solutions ReviewNVIDIA GeForce GTX 1080 Ti

SUMMARY: The NVIDIA GeForce GTX 1080 is powered by NVIDIA’s popular Pascal architecture and offers world-class performance and energy efficiency. According to NVIDIA, Pascal can “deliver up to three times the performance of previous generation graphics cards, as well as innovative new gaming technologies and breakthrough VR experiences.” The GTX 1080 also advertises improved heat dissipation from previous generations as well as vapor chamber cooling technology. This GPU is also made of high quality materials.


  • Pascal architecture
  • Improved heat dissipation
  • Component protection system


  • Unsecured fan cables
  • Runs hot with factory settings
  • Expensive for functionality

OUR OPINION: The NVIDIA GeForce GTX 1080 supports DirectX 12 and has a large chip with a die area of ​​314 mm² and 7,200 million transistors. It offers important upgrades to its predecessor, the GeForce GTX 980, such as a new architecture framework, double frame buffer RAM, 30 percent faster memory speed and more juice from the boost clock. Display outputs include 1x DVI, 1x HDMI, 3x DisplayPort. The GeForce GTX 1080 is connected to the rest of the system via a PCI Express 3.0 x16 interface.

Best of Solutions ReviewGeForce RTX 2080 Founders Edition

SUMMARY: The NVIDIA GeForce RTX 2080 is powered by NVIDIA’s next-generation Turing architecture, which, according to the company, “offers up to 6x the performance of previous-generation graphics cards”. The Turning architecture provides AI processing power that accelerates performance with NVIDIA DLSS 2.0. also. Concurrent floating point and integer processing that enables the GPU to handle compute-intensive workloads more efficiently.


  • Turing architecture
  • Factory overclocked
  • DLSS 2.0 graphics


  • Minor problems with the air extraction
  • Learning curve of the resolution output
  • Poor value compared to other NVIDIA GPUs

OUR OPINION: The founder edition of the NVIDIA GeForce RTX 2080 is overclocked at the factory and offers an 8-phase power supply for overclocking. It also features a dual axel 13-blade fan coupled with a vapor chamber for cooler, quieter performance. Compared to the base model NVIDIA RTX 2080, this version offers small but notable improvements. NVIDIA has paired the GeForce RTX 2080 with 8 GB of GDDR6 memory, which is connected via a 256-bit memory interface. The GPU works at a frequency of 1515 MHz and can be increased up to 1710 MHz.

Best of Solutions ReviewNVIDIA GeForce RTX 3060 XC

SUMMARY: The NVIDIA GeForce RTX 3060 takes advantage of NVIDIA’s Ampere architecture, the company’s second generation RTX framework. According to the company, the GPU offers “ray tracing cores and tensor cores, new streaming multiprocessors and high-speed G6 memory”. The GeForce RTX 3060 also touts NVIDIA’s Deep Learning Super Sampling, an AI rendering that boosts frame rates with uncompromising image quality using a dedicated Tensor Core AI processing framework.


  • Amp architecture
  • DLSS AI acceleration
  • Ideal for modern use cases


  • Some shading is disabled
  • No DVI connections
  • Current price point

OUR OPINION: The NVIDIA GeForce RTX 3060 is a premium GPU that supports DirectX 12 Ultimate. Unlike the fully unlocked GeForce RTX 3070, which uses the same GPU but has all 6144 shaders enabled, NVIDIA has disabled some shading units on the GeForce RTX 3060. The 3060 also includes 152 tensor cores that help speed up machine learning applications. The product also has 38 ray tracing acceleration cores. The card measures 242 mm in length, 112 mm in width and has a dual-slot cooling solution.

Best of Solutions ReviewNVIDIA TITAN RTX

SUMMARY: The Sony ZV-1 is a camera specially designed for content creators and vloggers. While it shares similar technology with Sony’s RX100 range, the ZV-1 branches out by focusing more on video-friendly capabilities and functions. ZV-1 includes, for example, image stabilization, face and eye recognition, autofocus and a measuring system to maintain the correct exposure in changing light conditions. Other features for videographers include a built-in microphone, 4K recording at 24 or 30 frames per second, and a product presentation mode that automatically adjusts focus when an object is centered.


  • Elegant, compact form factor
  • Great audio recording
  • Impressive 4K video


  • Disappointing battery life
  • Narrow lens
  • Touch functions are limited

OUR OPINION: If you’re looking for an accessible, yet reliable camera, the Sony ZV-1 is a fantastic option. It’s best for smaller marketing teams, especially those that focus on more compact videos. The compact design, the vlogger-friendly functions and the reliable audio and video function easily meet the requirements of the marketing of video content. If you plan to take the camera with you on the go, you should probably look into an accessory kit that includes a selfie stick or tripod to compensate for the narrower lens.

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Timothy King

Timothy King

Tim is the Editorial Director of Solutions Review and leads reporting on big data, business intelligence and data analysis. As the most influential business journalist in 2017 and 2018 and 2021, “Who’s Who” in the field of data management and data integration, Tim is a recognized influencer and thought leader in the field of business software. You can reach him via tking at solutionsreview dot com.

Timothy King

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