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Moore Threads MTT S3000 (2023)

Product Overview​

MTT S3000 is a full-function server GPU launched by Moore Threads, equipped with self-developed Chunxiao chip, based on second-generation MUSA architecture, with 48GB GDDR6 memory (estimated), supporting graphics rendering, video processing, deep learning complete MUSA software stack, can provide training-inference integrated computing power support for data centers and AI computing centers.

Positioning: Full-function server GPU (graphics + computing), targeting data center and AI computing center deployment.

Core Specifications​

ItemParameter
ArchitectureSelf-developed Chunxiao chip (second-generation MUSA core architecture)
ProcessNot disclosed (estimated 7nm)
FP32Not disclosed (estimated ~20 TFLOPS)
TF32Not disclosed (estimated ~40 TFLOPS)
INT8Not disclosed (estimated ~160 TOPS)
FP16/BF16Supported (specific values not disclosed)
Memory Capacity48 GB GDDR6 (estimated, similar to S4000)
Memory BandwidthNot disclosed (estimated ~700 GB/s)
TDP400 W (estimated)
InterconnectMTLink (multi-card high-speed interconnect)
InterfacePCIe 4.0/5.0 (estimated)
Release2023
Mass ProductionSince 2023
Software StackMUSA software stack (CUDA compatible)

⚠️ Specification Note: Detailed specifications of MTT S3000 are not fully disclosed by official sources. Some values above are estimates, subject to Moore Threads' subsequent official data sheet.

MUSA Architecture Evolution​

ArchitectureChipRepresentative ProductRelease
First-generation MUSAChunxiao (initial)MTT S80 (consumer)2022
Second-generation MUSAChunxiao (improved)MTT S30002023
Third-generation MUSAQuyuan GPUMTT S40002023.12

Comparison with MTT S4000​

MetricMTT S3000MTT S4000Difference
ArchitectureSecond-generation MUSA (Chunxiao)Third-generation MUSA (Quyuan GPU)S4000 newer
FP32Not disclosed25 TFLOPSS4000 value disclosed
Memory48GB GDDR6 (estimated)48GB GDDR6Same
PositioningFull-function server GPULarge model AI computing acceleratorS4000 more focused on training
Release20232023.12Same period

Full-Function GPU Features​

As a full-function GPU, MTT S3000 simultaneously supports:

CapabilityDescription
AI ComputingDeep learning training/inference (MUSA software stack)
Graphics RenderingOpenGL/Vulkan/DirectX compatible
Video ProcessingHardware encoding/decoding (multi-format support)
Display OutputData center GPU standard display interface

Application Scenarios​

  • ✅ Data center GPU virtualization (full-function support)
  • ✅ Graphics rendering + AI hybrid workloads
  • ✅ Domestic AI computing center (Chunxiao chip, supply chain security)
  • ✅ CUDA ecosystem migration (MUSA compatibility layer)
  • ❌ Ultra-high compute requirements (specifications not fully disclosed, estimated lower than S4000)
  • ❌ Large-scale training clusters (MTLink TBD)

Product Matrix​

SeriesPositioningRepresentative ProductArchitecture
MTT S Series (Server)Data center GPUS3000, S4000, S5000MUSA 2/3 gen
MTT S Series (Consumer)Desktop GPUS80, S70MUSA 1 gen
KUAEAI computing center solutionS4000 + MTLinkMUSA 3 gen

References​