New NVIDIA Tesla GPUs Reduce Cost Of Supercomputing By A Factor Of 10

November 16, 2009
Tesla C2050 GPU Computing Processor

NVIDIA Corporation today unveiled the Tesla 20-series of parallel processors for the high performance computing (HPC) market, based on its new generation CUDA processor architecture, codenamed "Fermi".

Designed from the ground-up for , the Tesla 20-series GPUs slash the cost of computing by delivering the same performance of a traditional CPU-based cluster at one-tenth the cost and one-twentieth the power.

The Tesla 20-series introduces features that enable many new applications to perform dramatically faster using Computing. These include ray tracing, 3D cloud computing, video encoding, database search, data analytics, computer-aided engineering and virus scanning.

“NVIDIA has deployed a highly attractive architecture in Fermi, with a feature set that opens the technology up to the entire computing industry,” said Jack Dongarra, director of the Innovative Computing Laboratory at the University of Tennessee and co-author of LINPACK and LAPACK.

The Tesla 20-series GPUs combine parallel computing features that have never been offered on a single device before. These include:

• Support for the next generation IEEE 754-2008 double precision floating point standard
• ECC (error correcting codes) for uncompromised reliability and accuracy
• Multi-level cache hierarchy with L1 and L2 caches
• Support for the C++ programming language
• Up to 1 terabyte of memory, concurrent kernel execution, fast context switching, 10x faster atomic instructions, 64-bit virtual address space, system calls and recursive functions

At their core, Tesla GPUs are based on the massively parallel CUDA computing architecture that offers developers a parallel computing model that is easier to understand and program than any of the alternatives developed over the last 50 years.

"There can be no doubt that the future of computing is parallel processing, and it is vital that computer science students get a solid grounding in how to program new parallel architectures," said Dr. Wen-mei Hwu, Professor in Electrical and Computer Engineering of the University of Illinois at Urbana-Champaign. "GPUs and the CUDA programming model enable students to quickly understand parallel programming concepts and immediately get transformative speed increases."

The family of Tesla 20-series GPUs includes:

1. Tesla C2050 & C2070 GPU Computing Processors
• Single GPU PCI-Express Gen-2 cards for workstation configurations
• Up to 3GB and 6GB (respectively) on-board GDDR5 memoryi
• Double precision performance in the range of 520GFlops - 630 GFlops

2. Tesla S2050 & S2070 GPU Computing Systems
• Four Tesla GPUs in a 1U system product for cluster and datacenter deployments
• Up to 12 GB and 24 GB (respectively) total system memory on board GDDR5 memoryii
• Double precision performance in the range of 2.1 TFlops - 2.5 TFlops

The Tesla C2050 and C2070 products will retail for $2,499 and $3,999 and the Tesla S2050 and S2070 will retail for $12,995 and $18,995. Products will be available in Q2 2010.

Source: NVIDIA

Explore further: NVIDIA Unveils Next Generation CUDA GPU Architecture -- Codenamed 'Fermi'

Related Stories

Mathematica Users Get 100x Performance Boost From NVIDIA CUDA

November 18, 2008

At SC08, Wolfram Research will demonstrate a new version of Mathematica, the world’s most powerful general computational software, that integrates CUDA, NVIDIA’s parallel GPU computing architecture. This new version is ...

NVIDIA Ushers In the Era of Personal Supercomputing

June 21, 2007

High-performance computing in fields like the geosciences, molecular biology, and medical diagnostics enable discoveries that transform billions of lives every day. Universities, research institutions, and companies in these ...

NVIDIA Introduces New Integrated GeForce 9400M GPU

October 15, 2008

Demand for better visual computing performance continues to grow as more and more applications tap the massively parallel processing power of the graphics processing unit (GPU) for more than just graphics. As gamers, video ...

NVIDIA Announced New Geforce GTX 200 GPUs

June 16, 2008

Imagine instead of taking over five hours to convert a video for your iPod, it only takes 35 minutes. Imagine using your PC to simulate protein folding to help find a cure for debilitating diseases. Imagine that your PC can ...

Recommended for you

Microsoft aims at Apple with high-end PCs, 3D software

October 26, 2016

Microsoft launched a new consumer offensive Wednesday, unveiling a high-end computer that challenges the Apple iMac along with an updated Windows operating system that showcases three-dimensional content and "mixed reality."

Making it easier to collaborate on code

October 26, 2016

Git is an open-source system with a polarizing reputation among programmers. It's a powerful tool to help developers track changes to code, but many view it as prohibitively difficult to use.

Dutch unveil giant vacuum to clean outside air

October 25, 2016

Dutch inventors Tuesday unveiled what they called the world's first giant outside air vacuum cleaner—a large purifying system intended to filter out toxic tiny particles from the atmosphere surrounding the machine.

1 comment

Adjust slider to filter visible comments by rank

Display comments: newest first

not rated yet Nov 17, 2009
In the future and by that i mean 5 or 10 years Petaflop systems will cost 1/5 or less of today's budgets to make such systems. Intel also working on 80-core chip. It will give the calculation power in the next years a huge boost.

Intel to unveil energy-efficient, many-core research chip:

Please sign in to add a comment. Registration is free, and takes less than a minute. Read more

Click here to reset your password.
Sign in to get notified via email when new comments are made.