Der er i dag mere end 140 spil der understøtter AGEIAs PhysX teknologi, og der er flere på vej. Købs prisen er ikke oplyst.
NVIDIA (Nasdaq: NVDA), the world leader in visual computing technologies and the inventor of the GPU, today announced that it has signed a definitive agreement to acquire AGEIA Technologies, Inc., the industry leader in gaming physics technology. AGEIA's PhysX software is widely adopted with more than 140 PhysX-based games shipping or in development on Sony Playstation3, Microsoft XBOX 360, Nintendo Wii and Gaming PCs. AGEIA physics software is pervasive with over 10,000 registered and active users of the PhysX SDK.
"The AGEIA team is world class, and is passionate about the same thing we are—creating the most amazing and captivating game experiences," stated Jen-Hsun Huang, president and CEO of NVIDIA. "By combining the teams that created the world's most pervasive GPU and physics engine brands, we can now bring GeForce®-accelerated PhysX to hundreds of millions of gamers around the world."
"NVIDIA is the perfect fit for us. They have the world's best parallel computing technology and are the thought leaders in GPUs and gaming. We are united by a common culture based on a passion for innovating and driving the consumer experience," said Manju Hegde, co-founder and CEO of AGEIA.
Like graphics, physics processing is made up of millions of parallel computations. The NVIDIA® GeForce® 8800GT GPU, with its 112 processors, can process parallel applications up to two orders of magnitude faster than a dual or quad-core CPU.
"The computer industry is moving towards a heterogeneous computing model, combining a flexible CPU and a massively parallel processor like the GPU to perform computationally intensive applications like real-time computer graphics," continued Mr. Huang. "NVIDIA's CUDA™ technology, which is rapidly becoming the most pervasive parallel programming environment in history, broadens the parallel processing world to hundreds of applications desperate for a giant step in computational performance. Applications such as physics, computer vision, and video/image processing are enabled through CUDA and heterogeneous computing."
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