NVIDIA Announces GeForce GT 540M Notebook GPU
NVIDIA introduced the GeForce GT 540M notebook GPU, the first GPU in our GeForce 500M family of notebook GPUs. OEMs are launching these Optimized notebooks with GeForce GT 540M GPUs and dual-core "Arrandale" CPUs in order to hit mainstream price points sooner, ahead of Huron River dual-core platforms that will not be released until later in 2011. It is available immediately in China from Acer, and will be available worldwide next month.
With GeForce GT 540M, we are taking an already proven architecture and using the maturity of the manufacturing process to create GPUs with higher clock settings while staying in the same power envelope. As a result, the GeForce GT 540M delivers a significant increase in fill-rate and memory bandwidth, which ultimately translates to better overall performance.
GeForce GT 540M GPUs are DirectX 11 done right, and like all GeForce GPUs, they support the differentiating features that set our GPUs apart from the competition, including: NVIDIA Optimus technology, PhysX, 3D Vision, 3DTV Play, CUDA, and Verde drivers to keep your notebook optimized for tomorrow.
Latest News Posts
- Americans think privacy is important, but doubt its possibility
- Google stepping up in Internet of Things, with its Brillo OS
- Want realistic 3D? Microsoft HoloLens should be able to deliver
- Master Ethical Hacking - Save Over 90% On 6 In-Depth Courses
- G.SKILL announces two 'major extreme' OC events for Computex next week
- Team Group Vulcan DDR4-3000 16GB Quad-Channel Memory Kit Review
- YUMI USB Stick doesnt´t boot correctly on H81M-HDS
- Asrock X99 Extreme4 activating VT-d not recognized in windows 8.1
- PC-Q26 and BP2SATA...
- GA-Z77X-UP5 TH Bluetooth not working
- Sharkoon Announces External USB 3.1 Hard Drive Case
- Razer Introduces the Firefly Gaming Mousepad with Customizable Lighting FX
- MSI First Motherboard Brand to be Windows 10 Certified
- EK Releases New Supremacy EVO X99 LGA2011v3 Water Block
- Tech Source Releases Condor 4000 3U VPX Graphics Card for GPGPU Applications