H100 GPU Server
Your LLMs Have Been Waiting For
Stop bottlenecking your models. Rent a dedicated Nvidia H100 server and run LLaMA 70B, fine-tune GPT-class models, and ship AI products at the speed your competition fears. Better value than on-demand GPU cloud pricing.
H100 GPU Server Plan and Pricing
Nvidia H100 80GB HBM2e PCIe Full Specs
The HBM2e memory and PCIe Gen5 interface offer unmatched compatibility for deep learning and HPC environments. Built on Hopper architecture with Transformer Engine for next-generation AI.
Why H100 80GB Is Ideal for LLMs
The Nvidia H100 80GB HBM2e stands out as the premier GPU for large language models, AI inference, and high-performance computing. Here's why it outperforms every alternative.
High Memory Capacity
The 80 GB HBM2e memory ensures seamless handling of large models such as LLaMA 70B, LLaMA 110B, GPT-3, and beyond — supporting both training and inference without memory bottlenecks.
Exceptional FP32 Performance
With 183 TFLOPS FP32 performance and 456 4th-gen Tensor Cores, the H100 achieves unparalleled speed and efficiency — nearly 9.4× faster than the A100 for AI training tasks.
FP8 Precision Support
Introduces 8-bit floating-point precision (FP8), enabling faster computations with reduced memory footprint — ideal for optimizing LLM inference latency and throughput in production.
Compatibility & Scalability
The PCIe Gen5 interface ensures compatibility with a wide range of server platforms. Scale from a single H100 rental to multi-GPU clusters with NVLink for massive distributed training.
What to Run on Your H100 Cloud Server
From LLM training to scientific simulations, the H100 GPU server excels at the most compute-intensive AI and HPC workloads.
LLM Training & Fine-Tuning
Train and fine-tune large language models with massive parameter counts. The 80 GB HBM2e handles 70B+ models in a single H100 — no complex tensor parallelism required.
AI Inference at Scale
Deploy production-grade AI inference with FP8 precision for maximum throughput and minimum latency. Serve thousands of requests per second with consistent response times.
Deep Learning Frameworks
Full compatibility with all major deep learning frameworks. Benefit from CUDA 12, cuDNN, and the Transformer Engine for accelerated attention mechanisms.
High-Performance Computing (HPC)
Scientific simulations, molecular dynamics, computational fluid dynamics, and quantum chemistry benefit from the H100's 67 TFLOPS FP64 double-precision computing power.
Data Analytics & Science
Accelerate large-scale data processing, feature engineering, and model training for machine learning pipelines with GPU-accelerated RAPIDS and cuDF libraries.
Generative AI & Image Models
Run stable diffusion, video generation, and multimodal AI models at unprecedented speed. The H100's massive VRAM and bandwidth handle complex generative pipelines with ease.
H100 vs. Other GPUs
See how the Nvidia H100 80GB outperforms A100, A40, and RTX 4090 across the metrics that matter most for AI and HPC workloads.
| Metric | Nvidia H100 | Nvidia A100 | Nvidia A40 | RTX 4090 |
|---|---|---|---|---|
| Memory | 80 GB HBM2e | 80 GB HBM2 | 48 GB GDDR6 | 24 GB GDDR6X |
| Bandwidth | 2 TB/s | 1.55 TB/s | 696 GB/s | 1 TB/s |
| FP32 TFLOPS | 183 TFLOPS | 19.5 TFLOPS | 37.4 TFLOPS | 82.6 TFLOPS |
| FP8 Precision | ✓ Supported | ✗ Not available | ✗ Not available | ✗ Not available |
| Precision Options | FP64, FP32, FP16, BF16, FP8 | FP64, FP32, FP16 | FP32, FP16, INT8 | FP32, FP16, INT8 |
| Best Use Case | LLM Training & Inference | Large-Scale AI Training | Mid-Size LLMs & HPC | Consumer AI & Gaming |
Explore Alternative GPU Servers
Evaluate these options if the H100 server price or specifications exceed your immediate project needs.
The NVIDIA GeForce RTX 4090 brings an enormous leap in consumer GPU performance with 82.6 TFLOPS FP32 and 24 GB GDDR6X memory — ideal for mid-scale AI projects and creative workloads.
24 GB GDDR6XThe NVIDIA A100 Tensor Core GPU delivers unprecedented acceleration for AI training, data analytics, and HPC applications. Previous generation to H100 with solid FP16 and FP64 performance.
80 GB HBM2An ideal GPU for accelerating AI, HPC, data science, and graphics at a more affordable price point. Well-suited for workloads that don't require H100's full computational capacity.
32 GB HBM2Nvidia H100 Hosting Questions
What is included in the H100 GPU server hosting?
- Nvidia H100 GPU (80 GB HBM2e) — dedicated, not shared
- 256 GB RAM + Dual 18-Core CPU for AI and HPC workloads
- SSD + NVMe + SATA storage for fast data processing
- 100 Mbps – 1 Gbps bandwidth for seamless connectivity
- Access to our U.S.-based data center with full root access
What is the H100 server price and billing structure?
Where is the H100 cloud data center located?
What are the main use cases for the H100 server?
- Training and inference of LLMs like GPT-4, LLaMA 70B, and Falcon
- Deep learning frameworks: TensorFlow, PyTorch, and JAX
- High-performance computing (HPC) simulations and analytics
- Generative AI, stable diffusion, and multimodal model serving
Can I install custom software on the H100 server?
Is the H100 server shared or dedicated?
How does the H100 compare to A100 or A40?
- 9.4× higher FP32 performance (183 TFLOPS vs. 19.5 TFLOPS for A100)
- 29% more memory bandwidth (2 TB/s vs. 1.55 TB/s for A100)
- Advanced FP8 precision — not available on A100 or A40
- Transformer Engine for accelerated attention in LLMs
Is the H100 server scalable for larger workloads?
Start Your H100 GPU Rental Today
Take your AI projects further with a high-performance NVIDIA H100 GPU server. Skip the hardware costs — rent H100 cloud server resources on demand and deploy instantly for large-scale LLM training and inference.