AMD Confirms Next-Gen Instinct MI400 Series AI Accelerators Already In The Works

Muhammad Zuhair
AMD Instinct MI400 GPU Accelerator
Image Credits: WCCFtech

AMD sets its sight on adopting an aggressive approach in the AI industry, as it discloses its plans for next-gen MI400 Instinct AI accelerators.

AMD Aims At Improving its Software Platform to Provide Enhanced Support For Generative AI Applications, Confirms Next-Gen Instinct MI400 Accelerators

AMD has formally confirmed its intentions to develop the "MI400" Instinct series. This confirmation comes as no surprise since Lenovo's VP already confirmed the existence of the next-gen accelerators on AMD's agenda.

Related Story AMD Says It Had To Rebuild The Ryzen 5 5800X3D To Bring It Back For AM4’s 10th Anniversary

During the company's recent Q2 earnings call, CEO Lisa Su hinted at the future Instinct MI400 AI Accelerators, without disclosing any specifics, hence creating a cliffhanger. But just like the MI300 series, the MI400 accelerators will also come in a range of configurations.

When you look across those workloads and the investments that we’re making, not just today, but going forward with our next generation MI400 series and so on and so forth, we definitely believe that we have a very competitive and capable hardware roadmap. I think the discussion about AMD, frankly, has always been about the software roadmap, and we do see a bit of a change here on the software side.

Dr. Lisa Su (AMD CEO)

The CEO's statement mentions the fact that the Instinct lineup is well-equipped in the hardware department, offering top-of-the-line specs. However, it is felt that AMD lacks software development, which includes extensive support for generative AI applications. NVIDIA has been at the forefront for now, with the introduction of features such as "NVIDIA ACE" and "DLSDR". AMD plans at improving things on the software side, hence we can see major changes being introduced by AMD, which will hopefully elevate the Instinct platform.

As previously discussed, apart from the next-gen MI400 Instinct lineup, AMD also disclosed plans for the development of "cut-down" MI300 variants for Chinese markets in an effort to comply with US trade policies. While exact specifications aren't certain yet, we believe that Team Red will adopt a similar approach taken by NVIDIA with their "H800 and A800" GPUs.

NVIDIA has mostly been capitalizing from the AI "gold mine", reaching tremendous levels of sales and demand. Competitors like Intel and AMD have been late, but they could provide tough competition given the fact that they bring better performance and value onboard.

AMD Radeon Instinct Accelerators

Accelerator NameAMD Instinct MI400AMD Instinct MI350XAMD Instinct MI300XAMD Instinct MI300AAMD Instinct MI250XAMD Instinct MI250AMD Instinct MI210AMD Instinct MI100AMD Radeon Instinct MI60AMD Radeon Instinct MI50AMD Radeon Instinct MI25AMD Radeon Instinct MI8AMD Radeon Instinct MI6
CPU ArchitectureZen 5 (Exascale APU)N/AN/AZen 4 (Exascale APU)N/AN/AN/AN/AN/AN/AN/AN/AN/A
GPU ArchitectureCDNA 4CDNA 3+?Aqua Vanjaram (CDNA 3)Aqua Vanjaram (CDNA 3)Aldebaran (CDNA 2)Aldebaran (CDNA 2)Aldebaran (CDNA 2)Arcturus (CDNA 1)Vega 20Vega 20Vega 10Fiji XTPolaris 10
GPU Process Node4nm4nm5nm+6nm5nm+6nm6nm6nm6nm7nm FinFET7nm FinFET7nm FinFET14nm FinFET28nm14nm FinFET
GPU ChipletsTBDTBD8 (MCM)8 (MCM)2 (MCM)
1 (Per Die)
2 (MCM)
1 (Per Die)
2 (MCM)
1 (Per Die)
1 (Monolithic)1 (Monolithic)1 (Monolithic)1 (Monolithic)1 (Monolithic)1 (Monolithic)
GPU CoresTBDTBD19,45614,59214,08013,3126656768040963840409640962304
GPU Clock SpeedTBDTBD2100 MHz2100 MHz1700 MHz1700 MHz1700 MHz1500 MHz1800 MHz1725 MHz1500 MHz1000 MHz1237 MHz
INT8 ComputeTBDTBD2614 TOPS1961 TOPS383 TOPs362 TOPS181 TOPS92.3 TOPSN/AN/AN/AN/AN/A
FP16 ComputeTBDTBD1.3 PFLOPs980.6 TFLOPs383 TFLOPs362 TFLOPs181 TFLOPs185 TFLOPs29.5 TFLOPs26.5 TFLOPs24.6 TFLOPs8.2 TFLOPs5.7 TFLOPs
FP32 ComputeTBDTBD163.4 TFLOPs122.6 TFLOPs95.7 TFLOPs90.5 TFLOPs45.3 TFLOPs23.1 TFLOPs14.7 TFLOPs13.3 TFLOPs12.3 TFLOPs8.2 TFLOPs5.7 TFLOPs
FP64 ComputeTBDTBD81.7 TFLOPs61.3 TFLOPs47.9 TFLOPs45.3 TFLOPs22.6 TFLOPs11.5 TFLOPs7.4 TFLOPs6.6 TFLOPs768 GFLOPs512 GFLOPs384 GFLOPs
VRAMTBDHBM3e192 GB HBM3128 GB HBM3128 GB HBM2e128 GB HBM2e64 GB HBM2e32 GB HBM232 GB HBM216 GB HBM216 GB HBM24 GB HBM116 GB GDDR5
Infinity CacheTBDTBD256 MB256 MBN/AN/AN/AN/AN/AN/AN/AN/AN/A
Memory ClockTBDTBD5.2 Gbps5.2 Gbps3.2 Gbps3.2 Gbps3.2 Gbps1200 MHz1000 MHz1000 MHz945 MHz500 MHz1750 MHz
Memory BusTBDTBD8192-bit8192-bit8192-bit8192-bit4096-bit4096-bit bus4096-bit bus4096-bit bus2048-bit bus4096-bit bus256-bit bus
Memory BandwidthTBDTBD5.3 TB/s5.3 TB/s3.2 TB/s3.2 TB/s1.6 TB/s1.23 TB/s1 TB/s1 TB/s484 GB/s512 GB/s224 GB/s
Form FactorTBDTBDOAMAPU SH5 SocketOAMOAMDual Slot CardDual Slot, Full LengthDual Slot, Full LengthDual Slot, Full LengthDual Slot, Full LengthDual Slot, Half LengthSingle Slot, Full Length
CoolingTBDTBDPassive CoolingPassive CoolingPassive CoolingPassive CoolingPassive CoolingPassive CoolingPassive CoolingPassive CoolingPassive CoolingPassive CoolingPassive Cooling
TDP (Max)TBDTBD750W760W560W500W300W300W300W300W300W175W150W

News Sources: Videocardz , SemiAnalysis

Muhammad Zuhair Photo

About the author: Muhammad Zuhair is a hardware and technology reporter for Wccftech, specializing in the semiconductor industry and the complex interplay between technology, manufacturing, and geopolitics. His coverage focuses on the corporate strategies and technological roadmaps of industry giants like TSMC, NVIDIA, Samsung, and Intel. Zuhair's expertise lies in deconstructing complex topics such as fabrication nodes (e.g., 2nm process), the economic impact of policies like the CHIPS Act, and the strategic development of AI infrastructure from NVIDIA, AMD and Intel.

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