Dedicated GPU infrastructure for language model fine-tuning
A dedicated 8x NVIDIA H200 server for a 70-billion-parameter fine-tuning run: HUBBLE GROUP prepared the environment, validated it with a load test and monitored it for four weeks.
- Client
- A European team building an AI product for enterprise search
- Period
- Q3 2026
- Placement
- Data center in Türkiye
Challenge
The client needed to fine-tune a 70-billion-parameter language model. Available cloud GPU capacity could not guarantee the required configuration for the whole experiment. The team needed a dedicated environment for four weeks, without buying hardware or configuring the server themselves.
Solution
HUBBLE GROUP provided a dedicated server with 8x NVIDIA H200, prepared the environment to the ML team's requirements and set up monitoring of the GPUs, the network and node health. The parties ran an agreed load test before handover.
The client was responsible for the data, the training code and model evaluation; HUBBLE GROUP for the infrastructure and technical support.
Result
The environment passed acceptance checks and was handed over two business days after the configuration was agreed and the required access was granted.
The main training run continued for 72 hours without restarts caused by infrastructure failures. Over four weeks of rental, monitoring and the support log recorded no unplanned unavailability of the server.
Basis of results
Record of environment acceptance, node monitoring and the technical support log for the rental period. Training speed was not compared with the previous infrastructure.
About confidentiality
The client's name is not disclosed at their request. Scope of work, configuration and results were agreed with the client for publication.
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