Best Graphic Cards for Video Editing in 2019

Processor that has high performance on graphics is known as GPU. It differs from and ordinary processing unit in terms of number of cores and clock frequency. In a CPU, number of processor cores are between 4 and 16, and each core operates at high clock frequency, whereas, GPU has a lot more core that can go upto the count of 3500 or even more, each operating at a far lower clock frequency. Whether you are building a PC from scratch or merely upgrading the GPU of an existing computer for the purpose of video editing, choosing a graphics card is an important decision. This characteristic makes it vital to edit a lot of videos. Another important thing to do is maintaining a balance between CPU and GPU is important, system’s efficiency can be affected if this balance is lost. In case CPU is specified, it would not be able to use its maximum power as GPU despite working at its maximum capacity would not be able to pass enough work to the GPU. Thus, disturbing the ratio between price and performance. Essential features required for video editing are good memory, multi-core processor and a higher storage, therefore, making a right choice of GPU plays a vital role. As, it carries out complex and compute-intensive tasks efficiently and videos and images are processed without deteriorating the quality. Below are some available option of the best graphics cards mentioned for video editing.

1. EVGA GeForce GT 730 4GB DDR3 128bit Dual DVI mHDMI Graphics Cards 04G-P3-2739-KR

EVGA GeForce GT 730 is a pocket-friendly graphic card, whose chipset offers faster video editing and internet browsing compared to integrated graphics. Its NVIDIA TXAA Technology supports the new temporal anti-lasting technique that delivers the ultimate combination of image quality and performance. Moreover, its NVIDIA CUDA Technology with OpenCL support enables GPU’s processor cores to accelerate the most demanding tasks such as video transcoding, physics simulation, ray tracing, and more, delivering incredible performance improvements over traditional CPUs.

98

Our Score

2. ZOTAC GeForce GT 1030 2GB GDDR5 64-bit PCIe 3.0 DirectX 12 HDCP Ready Low Profile Video Card ZT-P10300A-10L

OTAC GeForce GT 1030 gives stunning video editing performance. Powered by the award-winning NVIDIA Pascal architecture it performs with great efficiency. Its powerful graphics engine and state-of-the-art technologies provide a performance upgrade which is suitable for most demanding PC applications especially video editing. The small and compact size of GPU lets it fit into 99% of systems. The ZOTAC GeForce GT 1030 comes with a low-profile bracket and is a PCIE bus powered graphics card, no additional power supply connection is required that leads to less wires and less clutter. This makes its installation much easier. Moreover, thanks to its multiple-display out ports, two displays van be viewed on this graphic card.

95

Our Score

3. AMD Radeon HD 8490 Graphics Card – Low Profile Graphic Cards E1C64AT

This graphic card performs flawlessly its skillful features without burdening the pocket. Its dual-link DVI offers high resolution monitor support. Its multimode DisplayPort connector can connect it to DVI-D, VGA, and HDMI monitors. The DisplayPort also supports audio with video as well as HDCP support to enhance the security you receive. Maximum bandwidth support can be achieved with its full 16-lane PCIe 3.0 bus. This graphics card has 1GB of DDR3 dedicated on-board graphics frame buffer memory, so no memory space has to be shared with the PC anymore. It offers AMD PowerPlay and AMD PowerTune technology settings, which allows to dynamically manage power consumption. It uses an AMD Radeon coprocessor and has a memory speed of 900 MHz.

Thus, AMD Radeon HD 8490 makes graphics card to be quite sufficient for video editing.

93

Our Score

4. Gigabyte GV-N1030OC-2GI Nvidia GeForce GT 1030 OC 2G Graphics Card

GeForce GT 1030 is an entry-level graphics card and it offers very good performance for the price. It is based on the Pascal GPU architecture from Nvidia and comes with 384 CUDA Cores. This card comes with a single 80mm fan for cooling and aluminum heatsink beneath it. It is one of the best GT 1030 cards out there and is great for video editing at 900p or 1080p resolution. GeForce GT 1030 does not require external power connectors and needs only a decent 300W power supply for its working, means it has lower power consumption.

90

Our Score

5. ZOTAC GeForce GTX 1050, 2GB GDDR5 DisplayPort, HDMI, Dual-Link DVI-D, Super Compact Gaming Graphics Card (ZT-P10500A-10L)

If you want a mid-range graphics card in a budget then GeForce GTX 1050 makes much better sense. It is based on the Pascal GPU architecture and is much more powerful for 4K video editing. This card comes with 640 CUDA cores and 2GB GDDR5 memory having 128-bit interface. It is great for 1080p gaming at high settings, Video editing and building a powerful HTPC. This card can fit in almost 99% of computer cases, as it is only 145mm in length. It comes with a single 90mm fan and aluminum heatsink for cooling. It does not require PCIe power connectors and only a 300W PSU is needed for its working. It includes DVI, HDMI and DisplayPort for connectivity.

87

Our Score

6. MSI Gaming Radeon RX 560 128-bit 4GB GDDR5 DirectX 12 VR Ready CFX Graphcis Card (RX 560 Aero ITX 4G OC)

Radeon RX 560 is a perfect choice for 4k video editing and rendering in a budget. Moreover, it can be used for gaming purpose with medium to high graphics settings too. The card is based on the Polaris GPU architecture from AMD and comes with 1024 Stream Processors and 4GB GDDR5 RAM having 128-bit bus width. Due to its small size, it is 155 mm long, it is perfect for use in small form factor builds. You can overclock, change or tweak various settings for this card using MSI Afterburner Overclocking Utility. It does not need any PCIe power connectors and for connectivity it includes DVI, HDMI and DisplayPort.

85

Our Score

Best Graphics Card for Machine Learning in 2019

Machine learning is a field with intense computational requirements and its learning experience greatly depends on the choice of your GPU made. Without a GPU this might take long to see that the chosen parameters were off and the model diverged. However. with a good, solid GPU, one can quickly iterate over designs and parameters of deep networks, and run experiments in days instead of months, hours instead of days, minutes instead of hours. Therefore, making the right choice is critical. The most important feature of GPU for machine learning is its speed as this allows for rapid gain in practical experience which is key to building the expertise with which you will be able to apply deep learning to new problems. Without this rapid feedback, it just takes too much time to learn from one’s mistakes and it can be discouraging and frustrating to go on with it. With GPUs, tasks are completed quickly. The most important reason for picking a powerful graphics processor is saving time while prototyping models. If the networks train faster the feedback time will be shorter. Thus, it would be easier for brain to connect the dots between the assumptions for the model and the actual results.

1. Nvidia GEFORCE GTX 1080 Ti

The Nvidia GeForce GTX 1080 Ti is one of the most anticipated graphics cards when it came to machine learning. It is one of the most powerful consumer graphics card ever and a showcase of what Nvidia’s Pascal. The Nvidia GeForce GTX 1080 Ti comes with 3584 CUDA cores, 224 texture units and 88 ROPs. There’s no question the Nvidia GTX 1080 Ti is a performance beast, running at a base 1480MHz frequency and 1582MHz when boosted. It has more room for a better cooling solution. Its new high airflow thermal solution provides twice the airflow area of the GeForce GTX 1080’s cooling system.

98

Our Score

2. NVIDIA GeForce Titan X Pascal 12GB GDDR5X 

The TITAN X Pascal is an enthusiast-class graphics card by NVIDIA. Built on the 16 nm process, and based on the GP102 graphics processor, the card supports DirectX 12.0 and has all 3840 shaders enabled. It operates at a frequency of 1417 MHz, which can be boosted up to 1531 MHz, making it more suitable for machine learning. 
Titan X Pascal is best for someone who wants to compete (and win) Kaggle DL contests. Performance of smaller variants has been improved because of its Pascal architecture.

95

Our Score

3. Nvidia Tesla v100 16GB

The Tesla V100 PCIe 16 GB is a professional graphics card by NVIDIA, launched in June 2017. Built on the 12 nm process, and based on the GV100 graphics processor, the card supports DirectX 12.0. The Nvidia Tesla V100 GPUs have been making their way into the Artificial Intelligence and market learning markets. Tesla V100 isn’t your typical GPU. Each of these V100 GPUs comes with 5120 CUDA Cores, 640 Tensor Cores and 16GB HBM2. Its cores are specifically designed for machine learning, offering much better performance with regards to all operations. Apart from machine learning, this graphics card is suitable for Artificial Intelligence and many other research institutions.

91

Our Score

4. NVIDIA GEFORCE RTX 2080 Ti Founders Edition

The Nvidia GeForce RTX 2080 Ti is an especially powerful GPU that work really well for machine learning, particularly because of the speed it offers. It is one of the best graphics card for pushing the boundaries of computer graphics forward with ray tracing and AI-driven Tensor cores. It also delivers some impressive specification with 11GB of GDDR6 VRAM, 4,352 CUDA cores and a boost clock of 1,635MHz. This GPU also features two additional types of cores. The RTX 2080’s Ti’s 68 RT Cores power ray tracing, which allows this graphics card to render much more complex, real-time lighting scenarios and natural shadows.

90

Our Score

Best Graphic Cards for Windows PC Gaming in 2019

GPC gaming has progressed enormously over the past 20 years. Let’s just think back to the first video game we played and how amazed we were at great graphics or unique control schemes they offered. It’s strange to look at how far we have come since then. Also apart from just being a source of entertainment the video game industry now encompassed a whole economic sector that involves development, marketing and monetization of these video games. Since the birth of the SpaceWar till the evolution of the games like Skyrim and GTA 5, the technology has taken a tremendous growth in audio-visuals of this entertainment source. Modern personal computers owe many advancements and innovations to the game industry: sound cards, graphics cards and 3D graphic accelerators, faster CPUs, and dedicated co-processors like PhysXare a few of the more notable improvements.

Gaming requires an immersive experience overall. Extraordinary graphics are the primary feature that every gamer prefers. With the increase of multiplayer and squad-based games, you need best graphic assistance that apart from providing you the best image quality, also helps enhancing the speed of your processor. This graphical advancements were made possible when the role of Graphic cards came into play.

Primarily, graphics cards were established for more colors. And then advanced, graphic cards were developed for graphical user interfaces (GUIs) and games; GUIs drove the need for high resolution, and games began using 3D acceleration. They also are one of the only pieces of hardware to allow multiple hookups (such as with SLI or CrossFire graphics cards).

Graphics cards are useful for some non-gamers, too. Dedicated GPU can boost tasks like, not just photo editing- but intense Photoshop work, video editing, or any kind of rendering (3D art, design, etc. Moreover, additional tasks in Photoshop like filter application, warping/transforming, and other benefits can be achieved from an extra power a GPU provides.

The first and foremost reason people get a dedicated GPU is for gaming. A dedicated GPU is not required for watching videos (even razor sharp HD video), sending emails, or using applications like MS Office. GPU is not even required for playing older games, as today’s integrated graphics are far better than dedicated video cards of decades past.

However, a dedicated GPU is needed for playing calculation-intensive modern 3D titles in all their silky smooth glory. Want to play Skyrim with dozens of mods and add-ons while still enjoying butter smooth travel through the fantasy realm? You need a decent dedicated GPU.

Here are a few graphic cards that are the most recent and recommended for gaming purpose for your PCs:

1. ASUS ROG Strix Radeon Rx 590

ASUS ROG Strix Radeon Rx 590 8G is suitable for gaming as its Aura Sync RGB lighting feature offers perfect, synchronized harmony of colors. Moreover, it provides higher FPS for games like Doom and For Honor. Its patented wing-blade design keep things cool and quiet as compared to traditional axial fans that keeps things running smoothly.

96

Our Score

2. PNY NVIDIA GeForce GTX 1060 6GB XLR8

With PNY NVIDIA GeForce GTX 1060 6GB XLR8 Gaming overlocked edition, you will get the power to drive VR, ultra-high-resolution, and multiple monitors. Also it brings more realism to every game with NVIDIA GameWorks™ technologies that deliver a true cinematic experience, smoother gameplay, and amazing new image-capture to share your game.

As for the system requirements, you will need PCI Express-compliant motherboard with one double-width ×16 graphics slot and one 6-pin PCI Express supplementary power connector. System power supply should be minimum 400W or greater. Free hard-disk space should be available up to 30 MB, whereas system memory up to 2GB (4GB or higher recommended). The card is easily supported by Microsoft Windows 10, Windows 8, Windows 7, Linux, and FreeBSDx86

93

Our Score

3. ASUS GeForce GTX 1060 6GB ROG Strix OC Edition

ASUS GeForce GTX 1060 6GB ROG Strix OC Edition VR Ready HDMI 2.0 DP 1.4 Graphic Card comes with NVIDIA ANSEL for a revolutionary new way to capture in-game screenshots. Its 1873 MHz boost clock OC mode for extraordinary performance and gaming experience. The DirectCU III Patented Wing-Blade Fans enhances the cooling by 30% and quieter performance by 3times. Also ASUS FanConnect features 4-pin GPU-controlled headers connected to system fans for optimal thermal performance.

90

Our Score

4. EVGA GeForce RTX 2080 XC ULTRA GAMING, 8GB GDDR6

EVGA GeForce RTX 2080 XC Graphics Card is a real boost clock of 1815 MHz with extraordinary memory of 8192MB GDDR6. Higher cooling and quieter performance is best experienced through Dual HDB fans and all new 2.75 slot. It has Adjustable RGB LED which offers configuration options for all your PC lighting needs. It is naturally built for EVGA Precision x1 to all-new EVGA tuning utility that monitors your graphics card and gives you the power to overclock like a Pro. EVGA offers 24/7 technical support for three years.

88

Our Score

5. MSI Gaming GeForce GTX 1070 Ti 8GB GDRR5 256-bit

NVIDIA’s unique set of features ensure you get the right level of performance, image quality, and latency to ensure your VR experience is nothing short of amazing. The design is inspired by advanced armor shielding with a classy black & white finish. ARMOR graphics cards are perfect for gamers and case modders who are looking for something different.

Its key features are as follows:

Armor 2X Thermal Design
1) TORX Fan
Dispersion fan blade, in which Steep curved blade accelerates the airflow whereas Traditional fan blade provides steady airflow to massive heat sink below.

2) Zero Frozr
Does stops the fan in low-load situations, keeping a noise-free environment.
Airflow Control technology is highly advanced which improves cooling efficiency by using advanced aerodynamics to focus airflow.

3) Afterburner Overclocking Utility

It Supports multi-GPU setups. With the Wireless control through Android/iOSdevic

84

Our Score

6. Nvidia GEFORCE GTX 1080 Ti – FE Founder’s Edition

GeForce GTX 10 Series graphics cards are powered by Pascal to deliver up to 3X the performance of previous-generation graphics cards, plus breakthrough gaming technologies and VR experiences.

The GeForce GTX 1080 Ti Founders Edition is truly unique. Designed and built by NVIDIA. Crafted with premium materials and components, including a die-cast aluminum body and 7-phase dualFET power supply. And cooled by a radial fan with an advanced vapor chamber designed for consistent performance in even the most thermally challenging environments.

83

Our Score