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DataCrunch

A100_sxm4_80Gx2

| 160GB VRAMs | 2A100.44V

Explore DataCrunch's A100_80G cloud instance specifications and benchmarks. Compare hardware configurations and performance metrics to optimize your AI and ML workloads.

LLM Benchmark Comparison

Hardware Specifications

GPU ConfigurationValue
GPU TypeA100_80G
GPU InterconnectSXM4
GPU Model NameNVIDIA A100-SXM4-80GB
Driver Version550.90.07
GPU VRAM160
Power Limit (W)400.00
GPU Temperature (°C)26
GPU Clock Speed (MHz)210
Memory Clock Speed (MHz)1593
PstateP0
CPU ConfigurationValue
Model NameAMD EPYC 7643 48-Core Processor
Vendor IDAuthenticAMD
CPUs44
CPU Clock Speed4591.37
Threads Per Core1
Cores Per Socket1
Sockets44
MemoryValue
Total235Gb

Disks Specifications

StorageValue
Total500.00GB

Available Disks

PropertyValue
Disk 1
Modelvda
Size500Gb
TypeHDD
Mount PointUnmounted

Software Specifications

SoftwareValue
OSUbuntu
OS Version22.04.4 LTS (Jammy Jellyfish)
Cuda Driver12.4
Docker Version27.1.1
Python VersionPython 3.10.12

Benchmarks

BenchmarkValue
ffmpeg91
Coremark (Itterations per sec)31809.145
llama2Inference (Tokens per sec)48.47
Tensorflow Mnist Training2.775

Nvidia-smi output

Nvidia-smi topo -m outpu

Launch instance

CloudDataCrunch
GPU TypeA100_80G
Shadeform Instance TypeA100 sxm4 80Gx2
Cloud Instance Type2A100.44V
Spin Up Time5-10 mins
Hourly Price$3.30

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