
NVIDIA DGX Cloud
AvailableBest for Massive Foundation Model Training, Enterprise Generative AI, Pharmaceutical Research
GPUs: DGX H100, DGX A100
Compare 20 GPU cloud providers optimised for LLM Training. Get infrastructure recommendations, pricing benchmarks, and instant quotes.
Get Matched with Providers →Training large language models demands exceptional GPU memory bandwidth, high-speed inter-GPU interconnects (NVLink, InfiniBand), and massive parallelism. ComputeStacker identifies providers with proven LLM training infrastructure, including H100 NVLink clusters, 400G InfiniBand networking, and scalable NFS/object storage.
H100 SXM, A100 80 GB (NVLink cluster)
LLM training on H100 clusters typically costs $3–$8/GPU/hr. Training a 7B parameter model for a few thousand steps can be completed for $500–$2,000. Training from scratch at 70B+ scale may require $50,000–$500,000+ in compute spend.

Best for Massive Foundation Model Training, Enterprise Generative AI, Pharmaceutical Research
GPUs: DGX H100, DGX A100

Best for Enterprise Production, Model Deployment, Massive Scale
GPUs: H100 (p5), A100 (p4), T4, V100, Graviton Inferentia

Best for Enterprise LLM Training, HPC, AI Inference at Scale
GPUs: H100 SXM5 80GB, H100 NVL 94GB, A100 SXM4 80GB, L40S, A40, RTX A6000

Best for Enterprise AI Training, Massive GPU Clusters, RDMA Superclusters
GPUs: H100, A100, A10

Best for Finetuning Open Source Models, Serverless inference endpoints
GPUs: H100, A100, RTX A6000, L40S

Best for AI Innovation, TPU Training, MLOps (Vertex AI)
GPUs: H100, A100 80GB, L4, T4, Cloud TPU v5e/v5p

Best for Enterprises, OpenAI Integrations, Hybrid Cloud
GPUs: H100 (ND H100 v5), A100, V100, T4

Best for LLM Training, AI Research, Fine-Tuning
GPUs: H100 SXM5, H100 PCIe, A100 SXM4, A10, RTX 6000 Ada

Best for Funded AI Startups, Y Combinator Companies, LLM Foundation Models
GPUs: H100, A100

GPUs: H100, A100, RTX 4090, L40S

Best for Global AI Deployment, High-Performance Compute, Edge Inference
GPUs: H100, L40S, A100

Best for Autonomous Vehicle Research, NLP Training, AI Hardware Testing
GPUs: H100, A100, Graphcore IPU, Cerebras


Best for Environmentally conscious organizations, AI Training
GPUs: H100, A100 80GB, L40S

Best for Indian Enterprises, Cost-effective LLM Training, Data Localization
GPUs: H100, A100, L40S, RTX A6000

Best for AI Inference, Image Generation, Fine-Tuning, Budget ML
GPUs: H100 SXM5, H100 PCIe, A100 SXM4 80GB, RTX 4090, RTX 4080, A40, RTX 3090

Best for European Startups, Eco-friendly Compute, Cost-effective Training
GPUs: A100 80GB, V100, RTX A6000

Best for European Enterprise AI, Massive Scale LLM Training, HPC
GPUs: H100 SXM5, A100, L40S

Best for European data compliance, large bare metal deployments
GPUs: H100, A100, V100s, T4

Best for Sustainable, large-scale LLM training on European bare metal.
GPUs: H100, MI300X, A100
The recommended GPU for LLM Training is: H100 SXM, A100 80 GB (NVLink cluster). The best choice depends on your model size, budget, and latency requirements. ComputeStacker's comparison tool helps you match your workload to the right hardware.
LLM training on H100 clusters typically costs $3–$8/GPU/hr. Training a 7B parameter model for a few thousand steps can be completed for $500–$2,000. Training from scratch at 70B+ scale may require $50,000–$500,000+ in compute spend.
ComputeStacker currently lists 20 providers with infrastructure suitable for LLM Training workloads. Use the filters to narrow by GPU type, location, and budget.
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