NVIDIA H100 Server Rental
The H100 is the card most teams settle on for serious training. Eighty gigabytes of HBM3, a Transformer Engine that runs FP8 natively, and NVLink between cards in a node — that combination is why it became the industry default for large language models rather than a marketing claim. We rent H100 nodes from a single card for fine-tuning up to eight-card configurations for training from scratch, hosted in a Kazakhstan data centre with the CUDA stack already in place.
What we deliver
80 GB HBM3 per card
Enough memory to fine-tune models in the 7–13B range on one card without sharding, and to train larger ones across a node without constantly fighting out-of-memory errors.
FP8 Transformer Engine
Eight-bit precision roughly doubles throughput on transformer workloads compared with FP16, with accuracy loss small enough that most teams never notice it in the final model.
NVLink inside the node
Cards exchange gradients over NVLink rather than the PCIe bus, so scaling from one GPU to eight actually multiplies speed instead of stalling on synchronisation.
Ready to train on day one
CUDA, cuDNN, PyTorch and your serving stack installed and tested before handover, plus monitoring so a throttling card does not quietly waste a week of training.
How much does nvidia h100 server rental cost
Indicative prices. We send a precise quote within 24 hours of your brief.
Why Applications.kz
19 years, 300+ projects
We started in 2007 and have shipped over 300 products since — from MVPs to banking-grade platforms. The edge cases your project will hit, we have already solved.
Fixed price, fixed scope
A clear scope and a firm budget before we write a line of code. No hourly drift, no surprise change orders, no padded estimates.
Up to 10-year warranty
We back our code with a warranty of up to 10 years and full source-code handover. No lock-in, no abandonment after launch.
Technologies
Frequently asked questions
How many H100s do we need?
For fine-tuning a 7–13B model, one or two. For training from scratch or working with 70B and above, an eight-card node, sometimes several. We size it against your architecture and dataset before you commit.
H100 or H200?
Take H200 when memory is the limit — it carries 141 GB against 80. If you fit comfortably in 80 GB, H100 gives better value per hour.
Can we start with one card and grow?
Yes, and it is the usual path. We plan the migration in advance so moving to a multi-card node does not mean rewriting your training pipeline.
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Start your nvidia h100 server rental
Free consultation and a fixed quote within 24 hours. +7 (707) 928-13-15