GRNET S.A. (ΕΔΥΤΕ)
As of 3 November 2026, GRNET S.A. (ΕΔΥΤΕ) has 4 open roles (1 new in 30 days), its it operations & business systems team is hiring most, and its postings name Slurm, Apptainer and Singularity as the tools the team works in.
As of 3 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- Afiny, , Greece
- Employees
- 51-200 employees (linkedin)
- Sells to
- academic and research institutions, education institutions, public sector bodies
- Certifications on site
- Site languages
- EL, EN
- Career system
- Workable
GRNET S.A. (ΕΔΥΤΕ) in one screen
Read from grnet.gr: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
GRNET S.A. (ΕΔΥΤΕ) is a technology service provider of the Greek Ministry of Digital Governance that offers network and computing services to academic, research, education, public and private sector bodies. Its offerings include network infrastructure, high-performance and grid computing, cloud computing as a public service, and digital content development infrastructure. It operates the national backbone network and datacenters across Greece.
Named on the site: academic and research institutions, education institutions, public sector bodies, wider public and private sector, education sector, public sector, private sector.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 598 scored.
What GRNET S.A. (ΕΔΥΤΕ) says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
Support users in writing/reviewing/debugging Slurm job scripts launching multi-GPU/multi-node jobs via torchrun, accelerate launch or deepspeed, and support Ray/DeepSpeed and vLLM inference workflows where appropriate.Design, publish and support recommended Apptainer/Singularity containers (including NGCbased images) for training, fine-tuning, inference and RAG.Design, publish and support recommended Apptainer/Singularity containers (including NGCbased images) for training, fine-tuning, inference and RAG.stacks for HPC and Cloud (PyTorch, DDP/FSDP, Hugging Face Transformers & Accelerate, PEFT/LoRA, Unsloth, DeepSpeed, Bitsandbytes, TensorFlow, RAPIDS, Ray, vLLM and related tooling), ensuring compatibility with NVIDIA drivers, CUDA and NCCL.stacks for HPC and Cloud (PyTorch, DDP/FSDP, Hugging Face Transformers & Accelerate, PEFT/LoRA, Unsloth, DeepSpeed, Bitsandbytes, TensorFlow, RAPIDS, Ray, vLLM and related tooling), ensuring compatibility with NVIDIA drivers, CUDA and NCCL.Support users in writing/reviewing/debugging Slurm job scripts launching multi-GPU/multi-node jobs via torchrun, accelerate launch or deepspeed, and support Ray/DeepSpeed and vLLM inference workflows where appropriate.hared AI/LLM and computer-vision stacks for HPC and Cloud (PyTorch, DDP/FSDP, Hugging Face Transformers & Accelerate, PEFT/LoRA, Unsloth, DeepSpeed, Bitsandbytes, TensorFlow, RAPIDS, Ray, vLLM and related tooling), ensuring compatibility wiMaintain and test shared AI/LLM and computer-vision stacks for HPC and Cloud (PyTorch, DDP/FSDP, Hugging Face Transformers & Accelerate, PEFT/LoRA, Unsloth, DeepSpeed, Bitsandbytes, TensorFlow, RAPIDS, Ray, vLLM and related tooling), ensuriDAEDALUS is based on HPE’s NVIDIA GH200 direct liquid-cooled architecture, designed for about 89 petaflops sustained (115 petaflops peak) for traditional HPC, AI and Big Data/HPDA workloads across CPU and GPU-accelerated partitions backedstacks for HPC and Cloud (PyTorch, DDP/FSDP, Hugging Face Transformers & Accelerate, PEFT/LoRA, Unsloth, DeepSpeed, Bitsandbytes, TensorFlow, RAPIDS, Ray, vLLM and related tooling), ensuring compatibility with NVIDIA drivers, CUDA and NCCL.Validate driver/CUDA/NCCL stacks and profile/tune workloads using PyTorch Profiler, NVIDIA Nsight (Systems/Compute), TensorBoard, MLflow and Weights & Biases (WandB).architecture, designed for about 89 petaflops sustained (115 petaflops peak) for traditional HPC, AI and Big Data/HPDA workloads across CPU and GPU-accelerated partitions backed by 1 PB of high-performance NVMe and 10 PB of usable storage.Maintain and test shared AI/LLM and computer-vision stacks for HPC and Cloud (PyTorch, DDP/FSDP, Hugging Face Transformers & Accelerate, PEFT/LoRA, Unsloth, DeepSpeed, Bitsandbytes, TensorFlow, RAPIDS, Ray, vLLM and related tooling), ensuriMaintain and test shared AI/LLM and computer-vision stacks for HPC and Cloud (PyTorch, DDP/FSDP, Hugging Face Transformers & Accelerate, PEFT/LoRA, Unsloth, DeepSpeed, Bitsandbytes, TensorFlow, RAPIDS, Ray, vLLM and related tooling), ensuriVendors whose code loads on grnet.gr or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
4 open roles, 1 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team.
| open · new 30 d | |
|---|---|
| IT operations & business systems | 2 · 0 |
| Product, program & project management | 1 · 1 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add GRNET S.A. (ΕΔΥΤΕ) to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Start free, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like GRNET S.A. (ΕΔΥΤΕ)
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 598 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
GRNET S.A. (ΕΔΥΤΕ) (Afiny, Greece, 51-200 employees) has 4 open roles, 1 new in 30 days, and names 14 tools in its postings. (Breaknorm, 3 November 2026, https://breaknorm.co/company/grnet.gr)
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 →
- ProfileBuilt from grnet.gr: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Workable career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
GRNET S.A. (ΕΔΥΤΕ): questions
Does GRNET S.A. (ΕΔΥΤΕ) use Slurm?
Yes, by the company's own words: 3 postings name it, first seen 2025-06-02, in the it operations & business systems team.
Is GRNET S.A. (ΕΔΥΤΕ) hiring?
4 open roles as of 3 November 2026, 1 opened in the last 30 days and 0 closed. The largest team hiring is it operations & business systems.
Where does this profile come from?
From grnet.gr itself: we crawled it on 2026-08-03, built the profile on 2026-08-16, and read its career site (Workable) hourly since. Headcount is from LinkedIn.
Who should I write to at GRNET S.A. (ΕΔΥΤΕ)?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 1 public role addresses from the site are there too.
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