01 July 24, 2007 Preliminary Release
02 August 1, 2007 Clarified language support for Linux (Table 9)
03 January 29, 2008 Removed confidential statement
04 April 14, 2008 Updated terminology to be the same as used on
Updated look and feel to meet current standards
web site and other documents
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Table of Contents
NVIDIA Tesla C870 Overview.........................................................................................1
Table 2. 6-Pin PCI Express Power Connector Pinout........................................................... 7
Table 3. Configuration with Two 6-Pin Connectors............................................................. 8
Table 4. Power By Rail .................................................................................................... 9
Table 5. Test Setup and Configuration............................................................................ 10
Table 6. Sample Thermal Results and Specification.......................................................... 11
Table 7. Fan Specifications and Conditions...................................................................... 13
Table 8. Environmental Specifications and Conditions....................................................... 13
Table 9. Languages Supported....................................................................................... 14
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NVIDIA Tesla C870
Overview
The NVIDIA® Tesla™ C870 GPU computing processor board is a PCI Express
(Gen 1) full-height (4.376 inches by 12.283 inches) form factor computing add-in
card based on the NVIDIA Tesla C870 graphics processing unit (GPU), and is
targeted as a high performance computing (HPC) solution for PCI Express systems.
The Tesla C870 board offers 1536 MB of 136-pin ball grid array (BGA) GDDR3
memory.
Key Features
GPU
Number of streaming processor cores: 128
Processor core clock: 1.35 GHz
Voltage: 1.3 V ± 130 mV
Package size: 42.5 mm × 42.5 mm 1449-pin flip-chip ball grid array (FCBGA)
The Tesla C870 is based on the G80 Tesla GPU from NVIDIA.
Memory
Memory
Controller
Tesla C870
Compute
GPU
Host Interface
PCI-E
Figure 1. Tesla C870 GPU
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NVIDIA Tesla C870 GPU Computing Processor Board
Configuration
There is one configuration available (Table 1) for the NVIDIA Tesla C870 board.
Table 1. Board Configuration
Specification Description
SKU reference 900-20357-0000-000
Chip Tesla C870 GPU
Package size: GPU 42.5 mm × 42.5 mm
Processor clock 1.35 GHz
Memory size 1536 GHz
Memory clock 800 MH z
Memory I/O 384-bit GDDR3
Memory configuration 24 pcs 16M × 32 GDDR3 SDRAM
Display connectors N/A
Board connector PCI Express Gen 1 x16
Internal connectors and headers Two 6-pin PCI Express power connectors
Total board power 170.9 W
4-pin fan connector
Two SLI 26-pin edge connectors are present but not
used for Tesla C870
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PCI Express System
The Tesla C870 board (Figure 2) conforms to the PCI Express full height (4.376
inches by 12.283 inches) form factor.
Mechanical
Specification
4.736 inches
Figure 2. PCI Express Board
12.283 inches
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NVIDIA Tesla C870 GPU Computing Processor Board
Placement of Standard I/O
Connectors
The Tesla C870 board does not include any external I/O connectors.
Figure 3. Blank Bracket
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NVIDIA Tesla C870 GPU Computing Processor Board
Internal Connector and Headers
The Tesla C870 board supports the following internal connectors and headers.
Two 6-pin PCI Express power connectors
4-pin fan connector
PCI Express Power Connector
The Tesla C870 is a high performance-optimized, high-end board and utilizes power
from two 6-pin PCI Express connectors (Figure 4) and external power. Table 5 lists
the pin description for the 6-pin power connector.
Figure 4. 6-Pin PCI Express Power Connector
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NVIDIA Tesla C870 GPU Computing Processor Board
Table 2. 6-Pin PCI Express Power Connector Pinout
Pin Number Description
1 +12 V
2 +12 V
3 +12 V
4 GND
5 Sense
6 GND
4-Pin Fan Connector
The Tesla C870 board uses a 4-pin fan connector (Figure 5) to connect the fan to
the PCB for fan control by the Tesla C870 product.
Figure 5. 4-Pin Fan Connector
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Power
Specifications
The Tesla C870 is a performance optimized high-end board. Power is taken from
the PCI Express host bus as well as two 6-pin PCI Express power connectors.
Without any auxiliary power provided to the Tesla C870, a buzzer on the board will
beep and the board will not boot.
Table 3. Configuration with Two 6-Pin Connectors
6-pin PCIe Power
Connector (outside
position – nearest
corner of PCB)
Connected Connected Full Power **
Connected Not Connected Board will perform at lower
Not Connected Connected Buzzer will sound – board will not
Not Connected Not Connected Buzzer wil l so und – board will not
**This is the recommended connection for this configuration in order to provide the
necessary power into the Tesla C870 board to achieve full performance.
6-pin PCIe Power
Connector (Inside
position)
Result
performance
boot
boot
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NVIDIA Tesla C870 GPU Computing Processor Board
Power by Rail
Table 4 lists the power by rail numbers for the Tesla C870 board.
Table 4. Power By Rail
Input Rails
12 V Voltage Volts 12.69
12 V Current Amps 2.86
12 V Power Watts 36.29
3V3 Voltage Volts 3.29
3V3 Current Amps 1.14
3V3 Power Watts 3.75
Input Rails Ext 12V
12 V Voltage Volts 12.14
12 V Current Amps 5.08
12 V Power Watts 61.67
Input Rails Ext 12V
12 V Voltage Volts 12.14
12 V Current Amps 5.7
12 V Power Watts 69.20
Total Power Watts 170.9
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Thermal Qualification Summary
The information contained in this summary report is intended to provide users of
the Tesla C870 with thermal information necessary to assist in thermal management
efforts. This information is not intended to provide a specific thermal management
solution. However, it does show an approach that results in the reliable operation of
the Tesla C870
The product and cooling solutions used are:
Thermal
Specifications
Device Product: Tesla C870
Cooling Solution: Fan sink solution, NV P/N 095-0041-020. The cooling
solution assembly includes a heat sink, fan, thermal grease interface material,
and screws. Full specification available.
Result: Under the operating conditions described below, the Tesla C870 passed
thermal qualification.
Table 5. Test Setup and Configuration
System Part Configuration
PC: Opened System in Closed Acrylic box in Oven 1
Power supply 850 W
CPU Conroe 2.66 GHz
System DRAM 1 GB
PC operating system Windows XP Professional
GPU computing processor Tesla C870
Bios 6.80.09.00.00
Cuda driver 100.09
GPU L6094176 0637A2
GPU speed 1.35 GHz (processor core) 800 MHz ( memory clock)
Core voltage: 1.3 V
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NVIDIA Tesla C870 GPU Computing Processor Board
Table 6. Sample Thermal Results and Specification
Test Application Tjunction(°C)*TA(°C)** Cooling
Solution
Test 1: Q4 96
Test 2: 3DMark03
Nature
GPU junction
maximum
temperature
specification under
any operating
conditions.
* Junction temperature as reported by NVIDIA thermal sensor.
** Ambient air temperature - average of 3 sensors posit io ned at the inlet to the GPU fan
sink
102
105
55
At any
ambient
Temperature
Fan-sink solution,
NV P/N 095-0041020
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NVIDIA Tesla C870 GPU Computing Processor Board
Cooling Solution
The Tesla C870 utilizes a Cooler Master TM60 active fan sink (Figure 6) to cool the
GPU. For fan and environmental specifications refer to Table 7 and Table 8.
Rated voltage 12 V
Operating voltage 5.0 – 12.6 V DC
Input current (fan only) 0.15 Amp (maximum 0.23 Amp)
Input power (fan only) 1.80 W (maximum 2.76 W)
Speed (fan only) 2500 RPM
Air flow 11.520 CFM (minimum 10.368 CFM)
Static air pressure 0.156" water (minimum 0.126” water)
Acoustic noise 31.5 dB-A (maximum 35.5 dB-A)
Life expectance 50,000 hours continuous operation at 40 °C
Table 8. Environmental Specifications and Conditions
Specifications Conditions
Operating temperature 0 °C to 55 °C
Storage temperature All function shall be normal after 500 hours at -40 °C
Operating humidity 5 to 90 % RH
Storage humidity 5 to 95 % RH
to 75 °C at normal humidity with a 24 hours recovery
period at room temperature
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Languages
Table 9. Languages Supported
Support
Information
English (US) x x
English (UK) x
Arabic x
Chinese, Simplified x
Chinese, Traditional x
Danish x
Dutch x
Finnish x
French x
French (Canada) x
German x
Italian x
Japanese x
Korean x
Norwegian x
Portuguese (Brazil) x
Russian x
Spanish x
Spanish (Latin America) x
Swedish x
Thai x
WinXP Linux
Note: NVIDIA’s CUDA™ software is only supported in English (U.S.)
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NVIDIA Tesla C870 GPU Computing Processor Board
Certificates and Agencies
Certifications
Windows Hardware Quality Lab (WHQL):
Agencies
Bureau of Standards, Metrology, and Inspection (BSMI)
C-Tick
Conformité Européenne (CE)
Federal Communications Commission (FCC)
Interference-Causing Equipment Standard (ICES)
Ministry of Information and Communication (MIC)
Underwriters Laboratories (UL)
Voluntary Control Council for Interference (VCCI)
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Notice
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MAKES NO WARRANTIES, EXPRESSED, IMPLIED, STATUTORY, OR OTHERWISE WITH RESPECT TO THE
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Information furnished is believed to be accurate and reliable. However, NVIDIA Corporation assumes no
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rights of third parties that may result from its use. No license is granted by implication or otherwise under any
patent or patent rights of NVIDIA Corporation. Specifications mentioned in this publication are subject to
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without express written approval of NVIDIA Corp oration.
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