(HPC) market, based on its new generation CUDA processor architecture, codenamed "Fermi".
Designed from the ground-up for parallel computing, the NVIDIA? 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 company claims.
The Tesla 20-series introduces features that enable many new applications to perform dramatically faster using GPU Computing. These include ray tracing, 3D cloud computing, video encoding, database search, data analytics, computer-aided engineering and virus scanning.
The Tesla 20-series GPUs offer support for the next generation IEEE 754-2008 double precision floating point standard, ECC (error correcting codes), multi-level cache hierarchy with L1 and L2 caches, support for the C++ programming language as well as up to 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.
The family of Tesla 20-series GPUs includes:
- 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 memory
- Double precision performance in the range of 520GFlops - 630 GFlops
- 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 memory
- Double precision performance in the range of 2.1 TFlops - 2.5 TFlops
As Nvidia has previously announced, the first Fermi-based consumer (GeForce) products are expected to be available first quarter 2010.
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