DiPhyxDiPhyx
Workspace
Prepaid · hourly billing · AWS, Google Cloud and Azure

GPU and HPC machineson demand

Scientific software and AI workflows, ready to run.Work from your browser. No cloud account needed.

Open workspaceSee pricing
GPU trainerG4dn XLarge · Tesla T4 · 4 coresRunning
Mesh solverT4g 2XLarge · 8 cores · 32 GBStarting
Nightly batchD2s v5 · 2 cores · 8 GBStopped
~1 minReady infrom create to running
$0.014Fromper hour for an entry-level machine
NVIDIAGPUsTesla T4 and L4 GPUs
$0.00Stoppedcompute per hour; storage billed separately
Your workspace

Manage your machines from your browser

Access your machines, files and terminal in one workspace.

diphyx.com/workspace/servers
GPU trainerRunning
G4dn XLarge · Tesla T4 · 4 cores · AWS
StatusRunningThe cloud says it is up.
Address54.71.20.118Public address
Machine4 cores16 GB memory
Cost$15.78per day at this size
Terminal
$nvidia-smi--query-gpu=name,memory.total --format=csv,noheaderTesla T4, 15360 MiB$docker run--gpus all -v /data:/data trainer:latestepoch 25/40 · loss 0.121 · 37sepoch 26/40 · loss 0.118 · 38s$
DiskReady
200 GB
Firewall2 open
22 · 8000
dxflowReady
dxflow 1.8.2

Choose the compute your work needs

Compare CPU, GPU and compute machines by capacity and hourly rate.

CPU machines
from$0.014/ hour

For development, testing, hosting and everyday workloads.

T2 Micro1 core · 1 GB$0.014
E2 Medium2 cores · 4 GB$0.040
D2s v52 cores · 8 GB$0.115
GPU machinesNVIDIA GPUs
from$0.631/ hour

For model training, inference and CUDA workloads.

G4dn XLargeTesla T4 · 4 cores$0.631
G4dn 2XLargeTesla T4 · 8 cores$0.902
G6 XLargeNVIDIA L4 · 4 cores$0.966
Compute machines
from$0.081/ hour

For simulations, solvers and batch jobs that need extra CPU capacity and memory.

T4g Large2 cores · 8 GB$0.081
T4g XLarge4 cores · 16 GB$0.161
T2 2XLarge8 cores · 32 GB$0.445
How billing works
Optional dxflow preinstallation

Launch your machinewith dxflow ready

Run containerized workflows with tools for files, terminals and AI assistance.Select dxflow at launch to have it installed and licensed on your machine.

Explore dxflow
agent
Run the trainer on the GPU, with the data in /dataBuilt the workflow and started it. Docker has the CUDA image already.How far along is it?Epoch 26 of 40, loss 0.118 and still falling. About 9 minutes left.Serve the checkpoint on port 8000 when it landsQueued. The port is open, so it will answer as soon as the run ends.
workflow
Training runRunning
pytorch:2.4-cudagpus: all/data
26 / 40
artifact
dataset.zip4.2 GB
config.yaml1.4 KB
ckpt-26.pt812 MB
Workflow catalogue

Prebuilt software,ready to run

Choose from containerized workflows with pinned software versions.Open a workflow in your browser without compiling software yourself.

GenomicsMolecularStructuralSimulationVisualizationAnalyticsAIDevelopmentInfrastructureDesktopBrowserGraphicsMessagingOfficeMediaEngineeringGeospatialUtilities
Browse workflows
GROMACS4 cores · 32 GB · GPUGROMACS4 cores · 32 GB · GPU
Jupyter Lab4 cores · 8 GB · browserJupyter Lab4 cores · 8 GB · browser
OpenFOAM4 cores · 32 GB · shellOpenFOAM4 cores · 32 GB · shell
Ollama4 cores · 8 GB · GPUOllama4 cores · 8 GB · GPU
Scipion4 cores · 64 GB · GPUScipion4 cores · 64 GB · GPU
VS Code Server2 cores · 4 GB · browserVS Code Server2 cores · 4 GB · browser

Built for demanding workloads

Get the compute capacity you need for AI, scientific computing and data processing.

AI and machine learning

Train, fine-tune and serve models on NVIDIA GPUs.

Simulation and HPC

Run scientific solvers, molecular dynamics and CFD simulations.

Data and batch processing

Process datasets, run pipelines and render on cloud machines.

Prepaid compute. Clear hourly rates.

Add credit to your account. Compute and storage charges are deducted from your balance.

PrepaidTop up your balance before launching a machine.
By the hourCompute is billed while your machine runs. Storage charges continue when it is stopped.
Balance alertsReceive email alerts when your balance runs low and before resources are deleted.
Launch your first machineChoose a machine, review its hourly rate and launch it from your workspace.
Open workspaceSee pricing