NVIDIA pushes GPU technologies to the cloud
NVIDIA has unveiled three cloud technologies to accelerate computing by embracing the computing capabilities of the GPU.
"Kepler cloud GPU technologies shifts cloud computing into a new gear," said NVIDIA's president and chief executive officer Jen-Hsun Huang.
"The GPU has become indispensable. It is central to the experience of gamers. It is vital to digital artists realizing their imagination. It is essential for touch devices to deliver silky smooth and beautiful graphics. And now, the cloud GPU will deliver amazing experiences to those who work remotely and gamers looking to play untethered from a PC or console."
NVIDIA VGX platform is an enterprise implementation of Kepler cloud technologies, and is used to accelerate virtualized desktops. NVIDIA hope that enterprises will use it to provide seamless remote computing and allow the most demanding applications to be streamed to a notebook or mobile device.
"NVIDIA VGX represents a new era in desktop virtualization," said Jeff Brown, general manager of NVIDIA's Professional Solutions Group. "It delivers an experience nearly indistinguishable from a full desktop while substantially lowering the cost of a virtualized PC."
NVIDIA GeForce GRID is a gaming implementation of Kepler cloud technologies. It is used to power cloud gaming services. NVIDIA hope that gaming-as-a-service providers will use it to remotely deliver gaming experiences, with the potential to surpass those on a console.
"Gamers will now have access to seamlessly play the world's best titles anywhere, anytime, from phones, tablets, TVs or PCs," said Phil Eisler, general manager of NVIDIA's cloud gaming division. "GeForce GRID represents a massive disruption in how games are delivered and played."
NVIDIA has also unveiled a new family of Tesla GPUs based on the NVIDIA Kepler GPU computing architecture, which makes GPU-accelerated computing more accessible for a broader range of high-performance computing, scientific, and technical applications.
The new NVIDIA Tesla K10 and K20 GPUs, and are described as computing accelerators. They are built to handle the most complex HPC problems in the world. Based on the Kepler architecture, these GPUs are three times more efficient that GPUs based on the Fermi architecture.
"Fermi was a major step forward in computing," said Bill Dally, NVIDIA's chief scientist and senior vice-president of research. "It established GPU-accelerated computing in the top tier of high performance computing and attracted hundreds of thousands of developers to the GPU computing platform. Kepler will be equally disruptive, establishing GPUs broadly into technical computing, due to their ease of use, broad applicability and efficiency."
Image source: NVIDIA.
Related:
| Image Gallery: NVIDIA GeForce GTX 670 | ||||||
- NVIDIA unveils GeForce GTX 670
- AMD rumored to be preparing Radeon HD 7970 ‘GHz Edition’
- NVIDIA GeForce GTX 680 in quad-SLI configuration benchmarked
- Microsoft says no new Xbox ‘anytime soon’
- AMD owns up to CPU bug
- Windows 8 Consumer Preview: Are your applications and devices compatible?
- Wouldn’t a Valve ‘Steam Box’ console be nothing more than a PC?
- AMD launches two new HD 7800 series GPUs