Top GPUs for Machine Learning

Your GPU selection for machine learning applications can have an immense effect on its performance and productivity, so it is vital to assess your needs, constraints and long-term goals before selecting a GPU.

Model size and complexity have an enormous effect on GPU memory usage; selecting suitable precision levels helps optimize this resource efficiently.

NVIDIA A100

The NVIDIA A100 is an ideal workhorse for artificial intelligence professionals, offering outstanding performance and capabilities tailored to AI workloads, such as acceleration of precision formats. Multi-instance GPU (MIG) technology enables up to seven distinct AI networks on one A100 for efficient use of compute resources; additionally structural sparsity support offers up to 2X higher inference performance – making the A100 an excellent choice for organizations with demanding computational needs.

Scientific Research and Simulation: The A100 excels at scientific computing tasks involving large datasets. With its scalable memory capacity and fast GPU memory bandwidth, its faster execution of data-intensive apps is made possible. Furthermore, the device supports numerous APIs to deliver optimal performance even in energy-constrained environments.

Financial Institutions: The A100 excels at supporting high-performance finance applications, enabling financial institutions to analyze massive volumes of data and optimize trading algorithms while improving risk management strategies and cutting business costs.

The A100 GPU is manufactured on TSMC’s 7nm N7 process node, which allows it to contain 54.2 billion transistors on its surface area compared to older GPUs. This greatly increases both its processing power and data handling capacities compared to its counterparts, making the A100 an excellent choice for data center operations that demand large amounts of memory and fast GPU performance.

NVIDIA H100 NVL

The NVIDIA H100 NVL GPU is a new option designed to address AI data center requirements, offering outstanding performance, scalability and energy efficiency. Organizations with demanding data center needs may find this an attractive investment; however, before considering adding one into your infrastructure it is vital that its power and cooling requirements are fully understood.

The H100 NVL offers the same raw performance of its counterpart, yet offers increased memory capacity and speed. Its memory bandwidth is two times greater than on standard models and boasts six stacks of HBM3 memory for total of 188GB – an ideal configuration for large language models and data intensive applications. In addition, NVIDIA AI Enterprise enhances development and deployment of AI workflows.

Though boasting impressive specifications, the H100 NVL remains an affordable solution for many businesses. Its high-end GPUs deliver significantly more work per watt than previous NVIDIA cards; and advanced power management technology optimizes energy use based on workload requirements.

The NVIDIA H100 NVL allows enterprises to accelerate their AI workflows and increase profitability, with its exceptional performance making it ideal for data centers tackling demanding AI/HPC workloads. In addition, its advanced modelling features enable organizations to implement more intricate models with greater precision for solving problems with greater precision.

NVIDIA GTX 1080

The NVIDIA GTX 1080 remains one of the best graphics cards available, while still representing an excellent value proposition for those on a tight budget. Boasting 7.2 billion transistors and 2560 single-precision CUDA cores – capable of rendering HD quality games at impressive framerates – as well as its 16nm FinFET + VLSI process which offers increased efficiency with reduced power consumption compared to earlier generations, this GPU offers stunning gaming performance at an excellent value point.

This card is ideal for gamers looking to experience next-gen gaming and immersive virtual reality, thanks to NVIDIA VRWorks software and its high bandwidth NVLink 2.0 interconnect technology; GPU Boost 3.0 feature improves performance by increasing clock speeds on processor.

The GTX 1080 is NVIDIA’s fastest GPU ever made and can easily handle HD resolution games with rock-solid framerates. Our benchmark tests demonstrated this with our outperformance surpassing AMD RX Vega 64 and RX 570 cards while still falling short against some heavier titles such as Dying Light 2. Our Dying Light 2 tests came in at 151 FPS which is significantly below both RTX 2080’s 177 FPS as well as AMD RX 6600’s 174 FPS scores; however this doesn’t reflect real world performance as most games can make them playable!

NVIDIA GTX 1070

NVIDIA’s GTX 1070 graphics card offers outstanding value for the price, providing outstanding gaming performance at 1080p resolution with reasonable frame rates. Furthermore, this model can run 1440p games smoothly while handling 60Hz refresh rate monitors as well. With 8GB GDDR5 memory and a base clock speed of 1607MHz that can be increased up to 1683MHz for optimal performance, this mid-range card provides optimal graphics experience at its price.

This GPU utilizes NVIDIA’s Pascal architecture, and is rated to deliver up to 6.5 TFLOPs of computing performance. Its GP104 core enables 15 of 20 Streaming Multiprocessors (SM), yielding 1920 CUDA cores; this results in shader/texture/geometry performance equalling 73% that of GTX 1080’s.

This GPU features a 256-bit memory interface with 8GB of GDDR5 running at 8 Gbps for optimal performance – an improvement over the 3.5GB + 500MB partitioning used by its predecessor, the GTX 970.

NVIDIA has limited – or outright banned – its board partner’s ability to offer pre-overclocked cards, to ensure every card features consistent base clock and Boost Clock speeds.

NVIDIA GTX 1060

The NVIDIA GTX 1060 is an affordable mid-range graphics card capable of running the latest games at high resolutions and frame rates, based on NVIDIA’s Pascal architecture which incorporates several groundbreaking gaming technologies. Offering great value for money, this GPU makes an excellent choice for gamers looking to experience cutting-edge titles at higher settings.

The GTX 1060 uses TSMC’s 16nm FinFET process and features a 16nm GP106 GPU with 4.4 billion transistors on a 200mm2 die size; this GPU boasts significantly smaller die size compared to Maxwell-based GM204 used by GTX 980; moreover, power draw for this card is significantly lower at 120W compared to 200W on its counterpart.

At our benchmarks, the GTX 1060 6GB showed impressive performance in Biomutant and Doom Eternal. With the default quality preset set at 1080p resolution and medium or low quality settings enabled, it achieved highly playable frame rates at 1080p with highly playable frame rates exceeding 60fps at 1440p resolution – even surpassing 60 fps!

Biomutant was one of the best test cases of the GTX 1060’s abilities to match or beat its Radeon RX 580 counterpart, generally outpacing it. Although a few frames slower in extreme low and ultra low quality settings than its rival GPU, overall this powerful GPU still provided very fast gameplay performance.

NVIDIA GTX 1050

The NVIDIA GTX 1050 is a mid-range graphics card built on Pascal architecture. It comes equipped with 640 CUDA cores and 2GB of GDDR5 memory for maximum performance, clocking in at 1291MHz with optional overclocking up to 1392MHz; 75 Watts are drawn from PCIe slot; DisplayPort 1.4a output is supported; its dimensions measure 145mm length by 111mm width – making this dual slot card an attractive proposition.

PCI Express 3.0 x16 connects this card to other components within your system and has one DVI, one HDMI 2.0 and one DisplayPort 1.4a port to connect various displays, plus DirectX 12 support.

As opposed to previous NVIDIA cards, the GTX 1050 lacks an auxiliary 6-pin power connector – meaning its power intake is limited by what its PCI-E slot can supply, without GeForce Boost providing any additional headroom.

Even so, the GTX 1050 outperforms AMD’s RX 460 by approximately 10% on average while also using significantly less power – making it particularly suitable for budget buyers and testament to Pascal architecture’s efficiency.