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NVIDIA Tesla: Technical Specifications Supporting Platforms
  • NVIDIA® Tesla™ tested system*
  • Microsoft® Windows® XP (32-bit) (Available on Tesla C870 and Tesla D870 only)
  • Linux® (64-bit and 32-bit)
    • Red Hat Enterprise Linux 4 and 5
    • SUSE 10.1, 10.2 and 10.3 (coming soon)
NVIDIA Tesla Architecture
  • Massively-parallel computing architecture with 128 multi-threaded processors per GPU
  • Scalar thread processor with full integer and floating point operations
  • Thread Execution Manager enables thousands of concurrent threads per GPU
  • Parallel Data Cache enables processors to collaborate on shared information at local cache performance
  • Ultra-fast memory access with 76.8 GB/sec. peak bandwidth per GPU
  • IEEE 754 single-precision floating point
Scalable Solutions
  • Scalable from one to thousands of GPUs
  • Available in GPU computing processor, deskside GPU computing system and 1U rack-mount GPU computing system
Software Development Tools
  • C language compiler, profiler and emulation mode for debugging
  • Standard numerical libraries for FFT (Fast Fourier Transform) and BLAS (Basic Linear Algebra Subroutines)
Product Details
  • Tesla C870 GPU Computing Processor
    • One GPU (128 thread processors)
    • 1.5 GB dedicated memory
    • Fits in one full-length, dual slot with one open PCI Express x16 slot
  • Tesla D870 Deskside GPU computing system
    • Two GPUs (128 thread processors per GPU)
    • 3 GB system memory (1.5 GB dedicated memory per GPU)
    • Quiet operation (40dB) suitable for office environment
    • Connects to host via cabling to a low power PCI Express x8 or x16 adapter card
    • Optional rack mount kit
  • Tesla S870 GPU Computing System
    • Four GPUs (128 thread processors per GPU)
    • 6 GB of system memory (1.5 GB dedicated memory per GPU)
    • Standard 19”, 1U rack-mount chassis
    • Connects to host via cabling to a low power PCI Express x8 or x16 adapter card
    • Configuration: 2 PCI Express connectors driving 2 GPUs each (4 GPUs total)
*for Tesla D870 and Tesla S870