Cloud Use Case

GPU Cloud for LLM Training & Fine-Tuning

Fine-tune Llama 3, Gemma 4, Mistral, Mixtral, and custom LLMs on NVIDIA H100 and H200 GPUs with fixed pricing, no egress fees, and full CUDA control.

$4/mo

Starting price

Global Data Centers

99.9%

Uptime SLA

24/7

Human Support

Why Train LLMs on OMC Cloud

LLM training requires massive GPU compute, fast NVMe storage for datasets, and predictable pricing. Cloud GPU costs on AWS and GCP are volatile — spot instances get interrupted mid-training, on-demand costs $30+/hr. OMC Cloud fixes that with fixed monthly GPU pricing.

Run PyTorch, DeepSpeed, Hugging Face Transformers, or any training framework on NVIDIA H100 (80GB HBM3) and H200 GPUs. Full root access means custom CUDA versions, custom kernels, and no vendor lock-in. Download your model weights with zero egress fees.

Key Benefits

NVIDIA H100 & H200

Latest-gen GPUs with 80GB HBM3. Fastest training throughput available.

Fixed Monthly Pricing

No spot interruptions, no bidding, no surprise bills. Budget with confidence.

Zero Egress Fees

Download trained models and checkpoints without per-GB charges.

Full CUDA Control

Custom CUDA, cuDNN, NCCL versions via root access. No vendor restrictions.

NVMe Dataset Storage

Fast data loading for large training datasets. No IOPS limits.

PyTorch & DeepSpeed Ready

Pre-configured environments or install from scratch. Your choice.

Multi-GPU Training

Scale across multiple GPUs on a single node for distributed training.

24/7 ML Support

Infrastructure experts who understand GPU workloads, not just generic support.

How It Works

Choose

Select data center, GPU/CPU, RAM, storage, and OS.

Deploy

Server ready in under 60 seconds via console or API.

Go Live

Install your stack, configure, launch with 24/7 support.

Cloud vs On-Premise vs Shared

Feature	OMC Cloud	On-Premise	Shared
Upfront Cost	None — from $4/mo	$5,000-50,000+	$5-20/mo
Performance	Dedicated NVMe	Dedicated but fixed	Shared
Scaling	Instant	Weeks	Limited
Control	Full root access	Full	Very limited
Uptime	99.9% SLA	Depends on you	95-99%
Backups	Automated, 14 points	DIY	Basic
Global Reach	24 data centers	Single location	Shared

Recommended Configurations

GPU instances for LLM training. All include NVMe storage, DDoS protection, and 24/7 support.

Fine-Tuning

$89/mo

per month

• NVIDIA L40S (48GB)
• 8 vCPU, 32 GB RAM
• 200 GB NVMe
• LoRA/QLoRA fine-tuning
• 7B-13B parameter models

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Training

$199/mo

per month

• NVIDIA H100 (80GB)
• 16 vCPU, 64 GB RAM
• 500 GB NVMe
• Full fine-tuning
• Up to 70B parameters

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Large Scale

Custom

per month

• Multiple H100/H200
• Custom CPU/RAM config
• TB-scale NVMe
• 100B+ parameter training
• Contact sales

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Technical Specifications

GPU: NVIDIA H100, H200, L40S, A16, RTX 6000 Ada

GPU Memory: Up to 80GB HBM3 per GPU

CPU: Up to 104 vCPU (Intel Xeon)

RAM: Up to 512 GB DDR5

Storage: NVMe SSD, no IOPS limits

Frameworks: PyTorch, TensorFlow, JAX, DeepSpeed, FSDP

Models: Llama 3, Gemma 4, Mistral, Mixtral, BLOOM, Falcon

Network: Up to 40 Gbps

Frequently Asked Questions

Can I fine-tune Llama 3 on OMC Cloud?+

Yes. OMC Cloud supports fine-tuning any open-weight LLM including Llama 3 (8B, 70B), Gemma 4, Mistral 7B, Mixtral 8x7B, and custom models. Use LoRA, QLoRA, or full fine-tuning depending on your GPU.

How much does LLM training cost?+

GPU instances start from $89/mo (L40S for LoRA fine-tuning). H100 instances for full training start at $199/mo. No spot interruptions, no egress fees — fixed monthly pricing.

What frameworks are supported?+

Any framework: PyTorch, TensorFlow, JAX, DeepSpeed, Hugging Face Transformers, Axolotl, LitGPT. Full root access means you install exactly what you need.

Can I download my trained model?+

Yes. Zero egress fees. Download model weights, checkpoints, and logs at any time without per-GB charges.

How fast is training compared to AWS?+

Same NVIDIA hardware (H100/H200) at fixed pricing vs AWS variable on-demand or interrupted spot. Training speed is equivalent — cost predictability is the differentiator.

Do you support multi-GPU training?+

Yes. Multi-GPU configurations available on single nodes for distributed training with NCCL. Contact sales for multi-node clusters.

Is there a free trial for GPU instances?+

Yes. 30-day free trial available. Test your training pipeline before committing.

What about inference after training?+

Deploy your trained model for inference on the same or smaller GPU. See our LLM Inference page for production deployment options.

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