NVIDIA Tesla M4 Professional Graphics Card

Product status: Released | Report Error
Overview
Manufacturer
NVIDIA
Original Series
Tesla Maxwell
Release Date
November 10th, 2015
Graphics Processing Unit
GPU Model
GM206
Architecture
Maxwell
Fabrication Process
28 nm
Die Size
227 mm2
Transistors Count
2.9B
Transistors Density
13M TRAN/mm2
CUDA Cores
1024
SMMs
6
TMUs
64
ROPs
32
Clocks
Base Clock
1074 MHz
Boost Clock
TBD
Memory Clock
1375 MHz
Effective Memory Clock
5500 Mbps
Memory Configuration
Memory Size
4096 MB
Memory Type
GDDR5
Memory Bus Width
128-bit
Memory Bandwidth
88.0 GB/s
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Physical
Interface
PCI-Express 3.0 x16
Height
1-slot
Power Connectors
-
TDP/TBP
75 W
Recommended PSU
350 W
API Support
DirectX
12.0
Vulkan
1.0
OpenGL
4.5
OpenCL
1.1
Shader Model
5.0

Performance
Pixel Fillrate
34.4 GPixels/s
Texture Fillrate
68.7 GTexel/s
SPFP Performance
2.2 TFLOPS
Performance per W
29.3 GFLOPS/W
Performance per mm2
9.7 GFLOPS/mm2





 ModelClocksMemory
NVIDIA Tesla M10
2560 Unified Cores
1000 / 1500 MHz 32 GB GDDR5
NVIDIA Tesla M60
4096 Unified Cores
930 / 1500 MHz 16 GB GDDR5
NVIDIA Tesla M40
3072 Unified Cores
948 / 1500 MHz 12 GB GDDR5
NVIDIA Tesla M6
1536 Unified Cores
950 / 1150 MHz 8 GB GDDR5
NVIDIA Tesla M4
1024 Unified Cores
1074 / 1375 MHz 4 GB GDDR5
 ModelClocksMemory
NVIDIA Tesla M4
1024 Cores
1074 / 1375 MHz 4 GB GDDR5
NVIDIA Quadro M2000
768 Cores
872 / 1652 MHz 4 GB GDDR5
NVIDIA GeForce GTX 960 (OEM)
1280 Cores
924 / 1250 MHz 3 GB GDDR5
NVIDIA GeForce GTX 960
1024 Cores
1127 / 1753 MHz 2 GB GDDR5
NVIDIA GeForce GTX 950 Rev.2
768 Cores
1024 / 1652 MHz 2 GB GDDR5
NVIDIA GeForce GTX 950 (OEM)
768 Cores
935 / 1250 MHz 2 GB GDDR5
NVIDIA GeForce GTX 950
768 Cores
1024 / 1652 MHz 2 GB GDDR5
NVIDIA GeForce GTX 750 (GM206)
512 Cores
1020 / 1250 MHz 1 GB GDDR5

NVIDIA Tesla M4 GPU Accelerator
The NVIDIA Tesla M4 accelerator is a low-power GPU purpose-built for hyperscale environments and optimized for demanding, high-growth web services applications, including video transcoding, image and video processing, and machine learning inference. Key features include:

  • Higher throughput – Transcodes, enhances and analyzes up to 5X more simultaneous video streams compared with CPUs.
  • Low power consumption – With a user-selectable power profile, the Tesla M4 consumes 50-75 watts of power, and delivers up to 10X better energy efficiency than a CPU for video processing and machine learning algorithms.
  • Small form factor – Low-profile PCIe design fits into enclosures required for hyperscale data center systems.