NVIDIA has unveiled the GeForce GTX 1070, its newest gaming graphics card.
The card, which we’ve been testing over the past few weeks, packs a number of exciting new features and improvements over its predecessor.
First, we have a brand new compute engine that delivers a much more efficient way to render games at resolutions higher than 4K.
NVIDIA also introduced an updated GPU architecture that provides improved performance, better power efficiency, and higher clock speeds.
And for the first time, NVIDIA’s Pascal architecture has been integrated into a new card, the GeForce 1070, that offers up to 1.7 teraflops of peak GPU compute performance.
The 1070 is the first GPU from NVIDIA to ship with the new Pascal architecture.
In addition to these impressive new features, the 1070 offers NVIDIA’s most powerful GPU ever, with a boost to 2880MHz core clock speed and up to 2.0GHz GPU Boost clock speed, a new GPU factory overclock, and an increased GPU clock speed of 2.2GHz for the same clock speeds on the GeForce 9 series.
All of this makes the GeForce 1060 the fastest GPU on the market, and it’s priced at $999.
The GTX 1070 has a massive 10,072 CUDA cores, a 3GB GDDR5 memory bus, 8GB of GDDR5 VRAM, a 384-bit wide memory interface, a maximum memory clock speed up to 3GHz, and NVIDIA’s latest 6Gbps GDDR5X technology that can support resolutions up to 4K (the GTX 980 Ti has 6GB of memory).
NVIDIA has also released a new overclocking software suite called GeForce Tweak that lets users adjust power, clock speed or both of these parameters.
The new GPU architecture in the 1070 is more efficient than the previous generation, enabling even more efficient shading and compute operations.
In a word, the new architecture is faster, more powerful, and more power efficient.
We’ll be testing the new GeForce 1070 in our next article, so stay tuned.
NVIDIA’s new Pascal GPU architecture brings a much-needed boost in performance NVIDIA’s next-generation Pascal architecture is the latest iteration of the company’s “Pascal” graphics processing architecture, a brand name that’s often used by its partners in its own products.
Pascal is an eight-core, 128-bit GPU, and its architecture allows for increased efficiency with the GPU and GPU Boost technologies.
The Pascal architecture’s “Big Bang” process also delivers the highest-ever floating point performance.
That’s important because the GPU’s performance depends on how many transistors are crammed into the GPU.
The higher the number of transistors, the higher the performance.
A more efficient GPU is better for gaming, video editing, gaming PCs, and all sorts of applications that rely on high performance for efficient computing.
To get a better understanding of what that means, let’s take a closer look at the architecture.
The first thing you’ll notice is the fact that Pascal is the “big bang” GPU architecture.
Pascal’s design goal is to deliver the largest GPU architecture ever, which means that it’s a lot of transcomputational operations and memory access operations that take place simultaneously.
To put it simply, the larger the GPU, the more transcomposites you need to execute.
As a result, the GPU must process more transistors per clock cycle than ever before.
For example, the Radeon R9 Fury X, a graphics card built around the Fury X GPU, has 4,688 transistors on a 28nm process.
That means it needs more transcommuters to process all of its calculations, and Nvidia has been working on a lot more transComputational Operations (TCOs) and TCO-related optimizations to improve performance.
So when NVIDIA released the GeForce 100 series, the company was looking to accelerate performance by at least 20% to 25% by making some of the improvements that were already in the pipeline.
But in a big game like Counter-Strike: Global Offensive, where the clock speed is higher than 1440p, a GTX 10 series GPU with 2,074 CUDA Cores will need a lot less TCOs and TCEs than the GTX 980, and the GTX 970, with its 2,104 CUDA core.
NVIDIA has even made some tweaks to the architecture to improve GPU performance, including adding 8GB GDDR6 memory to the new GPU, which should improve performance in some games.
The biggest benefit is that these extra transComposites will now work more efficiently in the GPU Boost settings.
The more transComponents that are being added, the better performance will be.
NVIDIA will also introduce a new TCO feature that will make the GPU better at optimizing compute operations on the GPU over the GPU itself.
The TCO function lets the GPU optimize some of its operations on a GPU by doing more TCO than normal.
That way, the TCO for a certain operation can be higher or lower than normal in certain games