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Massed Compute

A100_80Gx2

| 160GB VRAMs | gpu_2x_a100

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

LLM Benchmark Comparison

Compare performance metrics between different language models

Hardware Specifications

GPU ConfigurationValue
GPU TypeA100_80G
GPU InterconnectPCIE
GPU Model NameNVIDIA A100 80GB PCIe
Driver Version560.35.03
GPU VRAM160 GB
Power Limit (W)300.00
GPU Temperature (°C)44
GPU Clock Speed (MHz)210
Memory Clock Speed (MHz)1512
PstateP0
CPU ConfigurationValue
Model NameAMD EPYC 7502 32-Core Processor
Vendor IDAuthenticAMD
CPUs30
CPU Clock Speed4999.99
Threads Per Core1
Cores Per Socket15
Sockets2
MemoryValue
Total147Gb

Disks Specifications

StorageValue
Total1536.00 GB

Available Disks

PropertyValue
Disk 1
Modelsda
Size1.5Tb
TypeHDD
Mount PointUnmounted

Software Specifications

SoftwareValue
OSUbuntu
OS Version22.04.4 LTS (Jammy Jellyfish)
Cuda Driver12.6
Docker Version27.2.0
Python VersionPython 3.10.12

Benchmarks

powered byLLM Benchmark Logo
BenchmarkValue
ffmpeg222ms
Coremark (Iterations per sec)23607.177
llama2Inference (Tokens per sec)38.51
Tensorflow Mnist Training2.112

Launch instance

CloudMassed Compute
GPU TypeA100_80G
Shadeform Instance TypeA100 80Gx2
Cloud Instance Typegpu 2x a100
Spin Up Time5-10 mins
Hourly Price$2.40

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