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ClustersKarolina NG

Compute Nodes

Work In Progress

Karolina NG is still WIP and subject to change.

Karolina NG is a cluster of x86-64 AMD based nodes built with the Eviden technology. The cluster contains only accelerated compute nodes:

  • 20 nodes
  • 2560 cores in total
  • 2x AMD EPYC Turin 9555, 64-core, 3.2GHz processors per node
  • 1520GB DDR5 RDIMM per node
  • 8x GPU accelerator AMD Instinct™ MI355X, 288GB HBM3E memory per node
  • Rpeak (FP64) 628.8TFLOP/s per compute node
  • Acn[01-20]

Processor Architecture

The AMD EPYC™ 9555 is a server/workstation processor with 64 cores, launched in October 2024, using the Zen 5 (Turin) architecture with Socket SP5. The 9555 has a TDP of 360W with a base frequency of 3.2GHz and a boost frequency of up to 4.4GHz.

  • Family: EPYC™
  • Architecture: Zen5
  • Cores: 64
  • Threads: 128
  • L1 Cache: 80KB (per core)
  • L2 Cache: 1MB (per core)
  • L3 Cache: 256MB (shared)
  • Instructions/Features: MMX, SSE, SSE2, SSE3, SSSE3, SSE4A, SSE4.1, SSE4.2, AES, AVX, AVX2, AVX-512, AVX-VNNI, VNNI/VEX, BMI1, BMI2, BFloat16, SHA, F16C, FMA3, AMD64, EVP, AMD-V, SMAP, SMEP, X2AVIC, AIBRS, SEV-SNP, 5-level NPT, SMT, Precision Boost 2
  • Frequency: 3.2GHz
  • Max turbo: 4.4GHz
  • Process: 4nm, 6nm (I/O)
  • TDP: 360W

GPU Accelerator

Karolina NG is equipped with an AMD Instinct MI355X GPU accelerator. The Instinct MI355X is a data center GPU, launched on June 12th, 2025. It is built on the 3 nm process and features 288 GB HBM3e memory, 16384 shading units, 1024 texture mapping units, and 0 ROPs. It also includes 1024 Matrix Cores which help improve the speed of machine learning applications with support for the FP4, FP6, INT8 and FP8 data formats.

AMD Instinct MI355X
ArchitectureCDNA 4
Shading Units16384
TMUs1024
Compute Units256
Matrix Cores1024
L3 Cache256
GPU Memory288GB HBM3e
Memory Bandwidth8.19TB/sec
ECC SupportYes
Rpeak FP6478,64TFLOPS
TDP1400W
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