Cuda Toolkit with Python
pcloudhosting · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 8 captures on record
What the publisher says
As described on Microsoft Marketplace.
CUDA Toolkit with Python enables GPU-accelerated computing using NVIDIA CUDA architecture, allowing developers to run high-performance machine learning, deep learning, and scientific computing workloads efficiently on supported NVIDIA GPUs.
Features of CUDA Toolkit with Python:
Show the rest of the publisher’s description (16 more lines)
- Provides GPU acceleration for Python-based machine learning workloads.
- Enables integration with frameworks like PyTorch and TensorFlow.
- Supports parallel computing using NVIDIA CUDA cores.
- Improves performance for deep learning model training and inference.
- Includes CUDA libraries for linear algebra, tensor operations, and optimization.
- Works with cuDNN for accelerated neural network computations.
- Supports development using Python bindings and APIs.
- Enhances processing speed for large datasets and AI models.
- Compatible with Linux-based systems like Ubuntu.
- Widely used in AI, data science, and HPC (High Performance Computing).
Usage:
$ sudo su
$ cd /opt
$ source cuda-env/bin/activate
python -c "import torch; print(torch.cuda.is_available())"
Disclaimer: CUDA Toolkit requires an NVIDIA GPU and compatible driver. Without GPU hardware support, CUDA features will not work and Python will run in CPU-only mode.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.