Cheapest cloud for LLM fine-tuning in 2026?

AIC Cloud at $0.31/hour for A100 80GB and $1.99/hour for H100 80GB is cheapest globally with INR billing via UPI. RunPod Secure Cloud at $0.79/hr A100 is cheapest USD-billed marketplace.

Can I fine-tune Llama 70B on single A100?

With LoRA / QLoRA: yes, single A100 80GB handles Llama 3 70B LoRA fine-tuning (batch 1-2, uses ~75-78 GB VRAM with QLoRA). Full FT needs 4× A100 minimum. For most use cases, LoRA on single A100 is sufficient.

How long does Llama 3 8B fine-tuning take?

LoRA fine-tuning on single A100 80GB: 12-24 hours for typical dataset (10K-100K examples). On AIC Cloud A100 at $0.31/hour: ~₹400-700 total cost. Full FT takes 48-72 hours with 4× A100 costing ~₹5,400-8,000.

Difference between LoRA, QLoRA, full fine-tuning?

Full FT updates all weights — highest quality, most VRAM (~16× model size). LoRA: trains low-rank adapters only (~1-10% params) — 4-10× cheaper VRAM. QLoRA: LoRA + 4-bit quantization — 16-32× cheaper VRAM, fits 70B on single A100. For most practical use, QLoRA is the sweet spot.

Which framework for LLM fine-tuning?

Axolotl (YAML config-based) and Unsloth (2× faster baseline) are strongest for LoRA in 2026. Hugging Face Transformers + PEFT is standard low-level approach. For full FT at scale, DeepSpeed or PyTorch FSDP.

Can I deploy fine-tuned model immediately?

Yes — after fine-tuning, merge LoRA adapter back to base model (or keep separate), serve via vLLM or Ollama on same GPU instance. For production inference, dedicated serving GPU more cost-effective than training GPU.

Top 5 Cheap LLM Fine-Tuning Cloud Providers 2026

The 5 cheapest cloud providers for LLM fine-tuning in 2026 are AIC Cloud (A100 80GB at $0.31/hr with INR billing), RunPod (A100 $0.79/hr, H100 $1.99/hr), Lambda Labs (A100 $1.10/hr, H100 $2.49/hr), CoreWeave (A100 $2.21/hr enterprise), and Hyperstack (A100 $1.50/hr UK-based). For Indian AI/ML developers, AIC Cloud delivers the cheapest A100 + H100 fine-tuning with INR/UPI billing.

LLM fine-tuning (LoRA, QLoRA, full fine-tuning) requires substantial GPU compute — typically A100 80GB or H100 80GB running for hours to days.

Quick comparison — top 5 cheap LLM fine-tuning

#	Provider	A100 80GB/hr	H100 80GB/hr	India Pay
1	AIC Cloud	$0.31/hr	$1.99/hr	✅ UPI
2	RunPod	$0.79/hr	$1.99-2.49/hr	❌ USD
3	Lambda Labs	$1.10/hr	$2.49/hr	❌ USD
4	CoreWeave	$2.21/hr	$4.76/hr	❌ USD
5	Hyperstack	$1.50/hr	$2.99/hr	❌ USD

1. AIC Cloud — $0.31/hr A100 (Cheapest with INR)

A100 80GB at $0.31/hour and H100 80GB at $1.99/hour — among cheapest globally for LLM fine-tuning. INR billing via UPI. Pre-installed CUDA + PyTorch + Hugging Face Transformers + vLLM.

2. RunPod — $0.79/hr A100 (Popular Marketplace)

A100 80GB at $0.79/hr (Secure Cloud) and H100 at $1.99-2.49/hr. Largest GPU marketplace.

3. Lambda Labs — $1.10/hr A100 (Premium ML Cloud)

Premium AI-focused cloud favored by ML researchers. Significant 1-3 year reservation discounts.

4. CoreWeave — $2.21/hr A100 (Enterprise Scale)

Enterprise-scale GPU cloud. Premium pricing reflects enterprise infrastructure.

5. Hyperstack — $1.50/hr A100 (UK-Based)

UK datacenter, hourly billing, dedicated GPU instances.

Fine-Tuning Cost Examples

LoRA fine-tune Llama 3 8B (24 hours A100):

•AIC Cloud: $7.44 (~₹670)
•RunPod: $19 (~₹1,720)
•Lambda Labs: $26.40 (~₹2,400)

Full fine-tune Llama 3 8B (48hrs × 4× A100):

•AIC Cloud: $60 (~₹5,400)
•RunPod: $152 (~₹13,700)
•Lambda Labs: $211 (~₹19,000)

LoRA fine-tune Llama 3 70B (72hrs × 4× H100):

•AIC Cloud: $573 (~₹51,600)
•RunPod: $717 (~₹64,500)
•CoreWeave: $1,371 (~₹123,400)

AIC Cloud is 2-15× cheaper than premium alternatives.

Deploy A100 for fine-tuning at $0.31/hr →

Tags:LLM Fine-TuningGPU CloudAITop 5

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