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AMD launches Instinct MI350 series AI chips: 185 billion transistors, 288GB HBM3E memory

AMD Instinct MI350 series AI chips launched: 185 billion transistors, 288GB HBM3E memory, with MI355X up to 35x faster than MI300, 2.2x faster than B200.

AMD launches Instinct MI350 series AI chips: 185 billion transistors, 288GB HBM3E memory
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TL;DR: AMD unveiled the Instinct MI350 series AI accelerators featuring 185 billion transistors, up to 288GB HBM3E memory, and CDNA 4 architecture on TSMC's 3nm process. Delivering 20 PFLOPs FP4/FP6 compute, these chips offer significant performance gains and enhanced memory bandwidth for advanced AI workloads.

AMD launched its new Instinct MI350 series AI accelerators today, rocking 185 billion transistors, up to 288GB of HBM3E memory, FB4 and FP6 support, and more.

AMD launches Instinct MI350 series AI chips: 185 billion transistors, 288GB HBM3E memory 33

The new Instinct MI350 series AI chips were launched during AMD's huge Advancing AI event, where it also unveiled its new Zen 6-based EPYC "Venice" CPUs, a tease of its next-next-gen Zen 7-based EPYC "Verano" CPUs, as well as a tease of its new Instinct MI400 and even next-next-gen Instinct MI500 series AI accelerators.

AMD's new Instinct MI350 series AI accelerators are based on the company's new CDNA 4 architecture, and fabbed on TSMC's 3nm process node. Inside, the chip itself features 185 billion transistors and comes in two different variants: the MI350X and MI355X, offered in both air-cooled, and liquid-cooled configurations.

The new Instinct MI350 series features a total of 256 compute units with 128 stream processors making 16,384 cores. This means we have lower core counts than the Instinct MI325 and MI300 series AI chips, which feature 304 compute units and a max core clock of 19,456.

AMD launches Instinct MI350 series AI chips: 185 billion transistors, 288GB HBM3E memory 38

The compute units inside of the Instinct MI350 series are split into 8 zones, each with its own XCD, and each XCD packing 32 compute units. The XCDs are based on TSMC's N3P process node, with the dual I/O dies based on TSMC's older 6nm process node. Inside of the IOD we have 128 HBM3E channels, the Infinity Cache, and 4th Gen Infinity Fabric Links.

AMD says that its new Instinct MI350 series AI chips have 20 PFLOPs of FP4/FP6 compute performance, which is a huge 4x uplift over the previous-gen Instinct AI chips. HBM3E also provides faster transfer speeds with up to 288GB of HBM3E on both variants, with 256MB of new Infinity Cache on the new Instinct MI350 series AI chips.

AMD launches Instinct MI350 series AI chips: 185 billion transistors, 288GB HBM3E memory 35

The new HBM3E memory is on 8 stacks, with each stack featuring 36GB of HBM3E in 12-Hi stacks, with the new chips also packing UBB8, which is a new Rapid AI infrastructure deployment standard, which allows for faster deployment of air- and liquid-cooled nodes.

AMD launches Instinct MI350 series AI chips: 185 billion transistors, 288GB HBM3E memory 38

AMD shared some competitive metrics of its new Instinct MI355X, which offers 8 TB/s of aggregate memory bandwidth, 79 TFLOPs of FP64, 5 PFLOPs of FP16, 10 PFLOPs of FP8, and 20 PFLOPs of FP6/FP4 compute.

AMD says that a full rack of liquid-cooling will pack 96-128 Instinct MI350 series AI GPUs with up to 36TB of HBM3E memory, 2.6 Exaflops of FP4 compute, 1.3 Exaflops of FP8 compute, and will power AMD's EPYC "Turin" CPUs based on the Zen 5 architecture, alongside the new Pollara 400 interconnect solution.

AMD launches Instinct MI350 series AI chips: 185 billion transistors, 288GB HBM3E memory 39

MI355X vs B200:

  • Memory: 1.6x Higher
  • Bandwidth: 1.0x Higher
  • FP64: 2.1x Higher
  • FP16: 1.1x Higher
  • FP8: 1.1x Higher
  • FP6: 2.2x Higher
  • FP4: 1.1x Higher

MI355X vs GB200:

  • Memory: 1.6x Higher
  • Bandwidth: 1.0x Higher
  • FP64: 2.0x Higher
  • FP16: 1.0x Higher
  • FP8: 1.0x Higher
  • FP6: 2.0x Higher
  • FP4: 1.0x Higher
News Source:wccftech.com

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Anthony joined TweakTown in 2010 and has since reviewed 100s of tech products. Anthony is a long time PC enthusiast with a passion of hate for games built around consoles. FPS gaming since the pre-Quake days, where you were insulted if you used a mouse to aim, he has been addicted to gaming and hardware ever since. Working in IT retail for 10 years gave him great experience with custom-built PCs. His addiction to GPU tech is unwavering and has recently taken a keen interest in artificial intelligence (AI) hardware.

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