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The MTT S2000 uses a 12NM process, uses 4096 MUSA cores, configures a maximum of 32GB of video memory, has a single-precision computing power of up to 12TFlops, supports H.264, H.265, AV1 multi-channel HD video encoding and decoding, and a wide range of AI model computing power acceleration. The MTT S2000 adopts passive cooling, single-slot design to meet the high-density GPU configuration mode of data center.

Moore Threads has launched a special unified programming model, runtime, driver and other software tools for hardware architecture for MTT S2000 series products, which can facilitate developers to complete the porting and adaptation of applications and fully call MTT OpenGL ES, DirectX, Vulkan and other graphics APIs; Support audio and video processing ecology through FFAMPEG and VA-API/DXVA compatibility; And through OpenCL and Vulkan to meet the AI and scientific computing program compatibility.

Moore Threads MTT S2000 is compatible with CPU architectures such as X86 and ARM and mainstream Linux operating system distributions, and has begun to cooperate with a number of server partners to adapt to a variety of OEM manufacturers' general-purpose server and GPU server models, which can be deployed in many hardware and application environments.

Specifications 
MUSA Number of cores4096
FP32 Hash10.6 TFLOPS
INT8 Hash42.4 TOPS
Encode2 MUSA Gen1 Encoder
Decode2 MUSA Gen1 Dncoder
Memory Capacity16/32 GB
Memory Bit Width256 bit
TDP150W
DimensionsL 266mm X H 111mm
DevicePCIE
product icon 64Support for modern graphics rendering engines
product icon 41Support H.264, H.265 and AVI encoding formats
Support AVI, H.264, H.265 and other encoding formats
while multi-channel concurrent decoding
product icon 66Supports AI computing such as Pytorch, TensorFlow, paddle, etc
product icon 52Supports OpenCL 3.0 parallel computing
product icon 54Support X86, ARM architecture CPU
product icon 55Support Ubuntu, Kirin, Tongxin and other operating systems
product icon 56MT GMI status and performance monitoring
Support for modern graphics rendering engines

Support H.264, H.265 and AVI encoding formats

Support AVI, H.264, H.265 and other encoding formats

while multi-channel concurrent decoding

Supports AI computing such as Pytorch, TensorFlow, paddle, etc
Supports OpenCL 3.0 parallel computing
Support X86, ARM architecture CPU
Support Ubuntu, Kirin, Tongxin and other operating systems
MT GMI status and performance monitoring