H100 SXM at Record-Low $0.90/hr: 80GB GPU Power for LLM Training and Inference

The NVIDIA H100 SXM 80GB represents the pinnacle of AI acceleration technology. Novita AI now offers this premium GPU at an unprecedented $0.90/hr through spot pricing. This competitive rate makes the world’s most advanced AI accelerator accessible to businesses and developers seeking maximum performance.

The H100 delivers exceptional performance for large language model training, computer vision, and high-performance computing workloads. With 80GB of HBM3 memory and 4th-generation Tensor Cores, it provides up to 30x faster inference than previous generations. Novita AI’s intelligent spot pricing model maintains cost efficiency while delivering breakthrough performance.

Why Is H100 Ideal for ML Training and Inference?

A completely new GPU architecture

The H100 SXM 80GB is built on NVIDIA’s revolutionary Hopper architecture. It houses over 80 billion transistors in a 5nm process node, delivering unprecedented performance for AI and HPC workloads. The GPU features 16,896 CUDA cores, 528 4th-generation Tensor Cores, and 80GB of high-bandwidth HBM3 memory.

The memory system provides 3.35TB/s memory bandwidth for lightning-fast data access. The breakthrough Transformer Engine automatically switches between FP8 and FP16 precision. This enables up to 4x higher throughput while maintaining model accuracy for transformer-based architectures.

H100 GPU Performance Across Key AI Applications

Transformational AI Training: H100’s fourth-generation Tensor Cores and Transformer Engine with FP8 precision accelerate AI training up to 4X faster than previous generations for large models like GPT-3. Advanced interconnects including 900 GB/s NVLink and NDR InfiniBand enable efficient scaling from enterprise systems to massive GPU clusters, making exascale HPC and trillion-parameter AI accessible to all researchers.

Accelerated AI Inference Performance: H100 delivers market-leading AI inference performance with up to 30X acceleration and lowest latency through fourth-generation Tensor Cores that support all precisions from FP64 to the new FP8 format. This versatility enables the H100 to accelerate diverse neural network architectures across business applications while reducing memory usage and maintaining accuracy for large language models, making it a comprehensive solution for real-time deep learning inference challenges.

Exascale HPC Performance: The NVIDIA H100 data center platform delivers exascale HPC performance that exceeds Moore’s law, tripling double-precision computing to 60 teraflops FP64 while enabling AI-fused applications to achieve one petaflop throughput using TF32 precision with zero code changes. New DPX instructions provide 7X speedups over A100 and 40X over CPUs for dynamic programming algorithms like Smith-Waterman DNA sequencing, combining traditional HPC with breakthrough AI capabilities to accelerate scientific discovery across the world’s most important research challenges.

80GB Memory: Capacity Planning for Large Models

The 80GB HBM3 memory capacity determines which models can fit entirely in GPU memory.

Single GPU Deployments can handle models up to approximately 70-75 billion parameters using FP16 precision. This includes popular models like Llama 2 70B, Code Llama 70B, and similar architectures.

FP8 precision effectively doubles this capacity, enabling deployment of models approaching 140-150 billion parameters on a single H100.

Multi-GPU Scaling becomes necessary for larger models. Using tensor parallelism, two H100 SXM GPUs can handle models up to 150 billion parameters in FP16.

Four GPUs enable training and inference of models exceeding 300 billion parameters. The high-bandwidth NVLink interconnect ensures efficient communication between GPUs. This maintains near-linear scaling performance across multiple devices.

Memory-Intensive Applications beyond model parameters include large context windows for language models. Applications requiring context windows beyond 32K tokens particularly benefit from the H100’s substantial memory pool. High-resolution image processing and scientific datasets also leverage the extensive memory capacity.

H100 SXM vs PCIe: Performance and Pricing Differences

Specification	H100 SXM	H100 PCIe
CUDA Cores	16,896	14,592
Tensor Cores	528	456
GPU Memory	80GB HBM3	80GB HBM2e
Memory Bandwidth	3.35TB/s	2.0TB/s
TF32 Performance	989 TFLOPS	756 TFLOPS
FP16 Performance	1,979 TFLOPS	1,513 TFLOPS
FP8 Performance	3,958 TFLOPS	3,026 TFLOPS
Max TDP	700W	350W
Interconnect	NVLink 900GB/s	NVLink 600GB/s
Form Factor	SXM5 Module	PCIe Dual-Slot

The SXM5 variant commands premium pricing due to its superior architecture designed for maximum performance density. The SXM form factor integrates directly into specialized server motherboards, enabling optimal power delivery and cooling. This design delivers 67% higher memory bandwidth, 30% more Tensor Cores, and significantly faster multi-GPU communication compared to the PCIe version.

H100 vs A100: Which GPU Fits Your Workload?

Specification	NVIDIA A100	NVIDIA H100 SXM5
Form Factor	SXM4	SXM5
Streaming Multiprocessors (SMs)	108	132
TPCs	54	66
FP32 Cores per SM	64	128
Total FP32 Cores	6,912	16,896
FP64 Cores per SM (excl. Tensor)	32	64
Total FP64 Cores (excl. Tensor)	3,456	8,448
Tensor Cores	432	528
Memory Interface	5120-bit HBM2	5120-bit HBM3
Transistors	54.2 billion	80 billion
Memory Bandwidth	1,555 GB/s	3,000 GB/s
Max TDP	400 W	700 W

The H100 delivers 2.4x more processing cores, nearly double the memory speed (3,000 vs 1,555 GB/s), and 48% more transistors than the A100. However, it consumes 75% more power (700W vs 400W).

Compare Cost of H100 and A100 

Provider/GPU Model	Spot Pricing	On-Demand
Novita AI H100 SXM 80GB	$0.90/hr	$1.80/hr
RunPod H100 SXM 80GB	$1.75/hr	$2.69/hr
Novita AI A100 SXM 80GB	$0.80/hr	$1.60/hr
RunPod A100 SXM 80GB	$0.95/hr	$1.74/hr

Spot vs On-Demand: When to Choose Each

Choose Spot Pricing When: Your workloads can handle occasional interruptions, and you’re conducting development work. Spot pricing works excellently for training runs with checkpointing, research projects, and cost-sensitive applications. The 50% savings justify occasional restarts for most development and batch processing scenarios.

Choose On-Demand When: Running production inference services or conducting time-critical training with tight deadlines. On-demand instances provide consistent performance without interruption risk. This is essential for customer-facing applications and mission-critical workloads requiring guaranteed availability.

Hybrid Strategies: Many organizations optimize costs by using spot instances for development and non-critical workloads. They reserve on-demand capacity for production services. This approach maximizes cost savings while ensuring reliable service delivery where needed.

How to Find H100 SXM 80GB Spot Instances on Novita AI

Launching an H100 Spot Instance on Novita AI follows the same streamlined process proven successful with other GPU deployments.

Access Your Console

Log in to your Novita AI GPU Console. The dashboard displays real-time GPU availability, current Spot Instance capacity, and your recent deployments. This overview helps you make informed decisions about when and where to deploy your instances.

Switch to Spot Billing

In the right sidebar under Filter, change the Billing Method from “On-Demand” to “Spot” to see discounted prices. The interface immediately updates to show the H100 at $0.90/hr. This transparency ensures you know exactly what you’re paying before deployment.

How Do Novita AI Spot Instances Work?

Spot Instances utilize Novita AI’s spare GPU capacity, making this capacity available at lower prices because it can be reclaimed when demand for regular instances increases.

Key Characteristics

Variable availability: Spot Instances may be interrupted when Novita AI requires the capacity back. However, this doesn’t mean random termination—the platform follows a structured process with advance notifications.

Significant cost savings: Access the same GPU performance at up to 50% less than On-Demand prices. The hardware and performance are identical; only the availability guarantee differs.

Protection period: Each Spot Instance includes a 1-hour protection window after launch. During this time, your instance cannot be interrupted regardless of capacity demands.

Advance notifications: Receive interruption notifications 1 hour before reclamation, with an additional 5-minute warning. These notifications allow you to save work, checkpoint progress, and gracefully shut down applications.

Comparison with On-Demand Instances

Feature	Spot Instances	On-Demand Instances
Pricing	Up to 50% less	Standard rates
Availability	Subject to capacity	Always available
Interruption risk	May be reclaimed with notice	No interruptions
Protection period	1 hour after launch	Continuous
Use case	Flexible, fault-tolerant workloads	Critical, uninterruptible workloads

By choosing Spot Instances for appropriate workloads, you access the same powerful GPU resources while optimizing compute costs.

Learn more: Novita AI Spot Instances Guide

Smart Workloads for Spot Instance Deployment

Development and Experimentation workloads represent the ideal use case for spot pricing. Model prototyping, hyperparameter tuning, and research experiments can leverage the cost savings while accepting occasional interruptions. These workloads typically benefit from checkpointing strategies and can resume efficiently after interruptions.

Batch Processing and Training jobs work excellently with spot instances when designed with fault tolerance. Large-scale data processing, model training with regular checkpoints, and distributed computing tasks can achieve significant cost savings. Modern deep learning frameworks like PyTorch and TensorFlow include built-in checkpointing mechanisms that integrate seamlessly.

Time-Flexible Workloads without strict completion deadlines maximize spot pricing benefits. Overnight training runs, weekend batch processing, and non-critical inference tasks can utilize spot instances exclusively. This achieves maximum cost optimization while maintaining high performance standards.

Conclusion

The NVIDIA H100 SXM 80GB at $0.90/hr spot pricing on Novita AI represents the most cost-effective access to premium AI acceleration available today. With breakthrough performance improvements over A100 and comprehensive software stack integration, this offering enables businesses to tackle demanding AI workloads without budget constraints. The combination of 4th-generation Tensor Cores, 80GB HBM3 memory, and intelligent spot pricing makes advanced AI development accessible.

Whether training large language models, developing computer vision applications, or conducting scientific research, H100 SXM delivers the performance needed for next-generation AI projects. Start building with the world’s most advanced AI accelerator today—deploy your H100 SXM 80GB spot instance on Novita AI and experience unmatched performance at unbeatable prices.

Frequently Asked Questions

Novita AI is an AI cloud platform that offers developers an easy way to deploy AI models using our simple API, while also providing the affordable and reliable GPU cloud for building and scaling.