MPI alternatives
As of 4 November 2026, 23 hpc gpu computing are named by companies instead of MPI: CUDA by 1,133 companies, Slurm by 465, NVIDIA NCCL by 195.
As of 4 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- MPI, companies in postings
- 215
- Most used alternative
- CUDA · 1,133
- Fastest hiring, 90 days
- CUDA
- Alternatives ranked
- 23
- Catalogue
- T-1.0.1-prov
hpc gpu computing companies choose instead of MPI
Companies naming each tool in their own postings, and postings in the last 90 days. Bars are relative to the category leader.
| # | Alternative | Companies | companies | vs MPI | postings, 90 d | Compare |
|---|---|---|---|---|---|---|
| 1 | CUDANVIDIA | 1,133 | 527% | 4,619 | MPI vs CUDA → | |
| 2 | SlurmSchedMD | 465 | 216% | 1,591 | MPI vs Slurm → | |
| 3 | NVIDIA NCCLNVIDIA | 195 | 91% | 812 | MPI vs NVIDIA NCCL → | |
| 4 | OpenCLKhronos Group | 147 | 68% | 558 | MPI vs OpenCL → | |
| 5 | PBS ProfessionalAltair | 125 | 58% | 337 | MPI vs PBS Professional → | |
| 6 | ROCmAMD | 90 | 42% | 338 | soon | |
| 7 | 87 | 40% | 331 | soon | ||
| 8 | OpenMPOpenMP Architecture Review Board | 79 | 37% | 362 | soon | |
| 9 | QiskitIBM | 61 | 28% | 137 | soon | |
| 10 | AMD HIPAMD | 53 | 25% | 148 | soon | |
| 11 | Run:aiNVIDIA | 48 | 22% | 154 | soon | |
| 12 | CUTLASSNVIDIA | 44 | 20% | 153 | soon | |
| 13 | cuDNNNVIDIA | 42 | 20% | 132 | soon | |
| 14 | CirqGoogle | 36 | 17% | 246 | soon | |
| 15 | MLPerfMLCommons | 26 | 12% | 144 | soon | |
| 16 | NVIDIA PTXNVIDIA | 24 | 11% | 143 | soon | |
| 17 | AWS Elastic Fabric AdapterAmazon Web Services | 21 | 10% | 118 | soon | |
| 18 | xCAT | 18 | 8% | 36 | soon | |
| 19 | nvidia-smiNVIDIA | 16 | 7% | 27 | soon | |
| 20 | cuBLASNVIDIA | 15 | 7% | 69 | soon | |
| 21 | PallasGoogle | 15 | 7% | 29 | soon | |
| 22 | SYCLKhronos Group | 15 | 7% | 118 | soon | |
| 23 | UCXUCF Consortium | 14 | 7% | 117 | soon |
Filter on any of them, or on MPI users who also name an alternative, and open the person who owns the stack.
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23 hpc gpu computing are named by companies instead of MPI: CUDA by 1,133 companies, Slurm by 465, NVIDIA NCCL by 195, measured from their own job postings. (Breaknorm, 4 November 2026, https://breaknorm.co/tools/mpi/alternatives)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- RankingCompanies whose own postings name the tool as the team's system, from the Breaknorm technology catalogue T-1.0.1-prov. Editions are folded into their parent product.
- 90-day postingsOpen postings first seen or posted in the last 90 days that name the tool.
- Not includedRatings, prices, feature claims, sponsored positions.
MPI alternatives: questions
What is the most used alternative to MPI?
CUDA: 1,133 companies name it in their own job postings, against 215 for MPI.
How is this list ranked?
By the number of companies whose own postings name the tool as the team's system (Breaknorm technology catalogue T-1.0.1-prov), then by postings in the last 90 days. No ratings, no vendor input, no sponsored positions.
Does this say which is better?
No. It says who uses what, by company size, industry and country, so you can see which tools companies like yours choose. For features and prices, read the vendors.
Can I get the companies on any of these?
Yes: click the tool, see the first 20 companies, and sign up for the full list with verified e-mails. Counting is free.
Get these companies your way
The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
Every company on MPI
or on what replaces it
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