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Excess Supply

RTX4090

| 24GB VRAMs | n3-RTX-4090x1

Explore Excess Supply's RTX4090 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 TypeRTX4090
GPU InterconnectPCIE
GPU Model NameNVIDIA GeForce RTX 4090
Driver Version535.183.06
GPU VRAM24
Power Limit (W)450.00
GPU Temperature (°C)27
GPU Clock Speed (MHz)210
Memory Clock Speed (MHz)405
PstateP8
CPU ConfigurationValue
Model NameAMD EPYC 7543 32-Core Processor
Vendor IDAuthenticAMD
CPUs12
CPU Clock Speed5599.99
Threads Per Core1
Cores Per Socket6
Sockets2
MemoryValue
Total68Gb

Disks Specifications

StorageValue
Total850.00GB

Available Disks

PropertyValue
Disk 1
Modelvda
Size100Gb
TypeHDD
Mount PointUnmounted
Disk 2
Modelvdb
Size750Gb
TypeHDD
Mount Point/ephemeral

Software Specifications

SoftwareValue
OSUbuntu
OS Version22.04.5 LTS (Jammy Jellyfish)
Cuda Driver12.2
Docker Version27.5.0
Python VersionPython 3.10.12

Benchmarks

powered byLLM Benchmark Logo
BenchmarkValue
ffmpeg52
Coremark (Itterations per sec)33855.269
llama2Inference (Tokens per sec)50.45
Tensorflow Mnist Training3.423

Launch instance

CloudExcess Supply
GPU TypeRTX4090
Shadeform Instance TypeRTX4090
Cloud Instance Typen3-RTX-4090x1
Spin Up Time10-20 mins
Hourly Price$0.60

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