NVIDIA H100 80GB PCIe Tensor Core GPU
AED108,675.00 Original price was: AED108,675.00.AED102,500.00Current price is: AED102,500.00.
Description
The NVIDIA H100 80GB Tensor Core GPU represents a revolutionary advancement in enterprise computing, delivering an order-of-magnitude leap in performance for artificial intelligence, high-performance computing, and data center workloads. Built on the groundbreaking NVIDIA Hopper architecture with 80 billion transistors using TSMC’s advanced 4N process, the H100 provides unprecedented computational power that transforms how organizations approach large-scale AI deployment, scientific computing, and enterprise applications. This GPU doesn’t just improve performance—it fundamentally changes what’s possible in enterprise computing environments.
Why NVIDIA H100 80GB is a Game-Changer for Enterprise
NVIDIA H100 80GB addresses the most pressing challenges facing modern enterprises: the exponential growth in AI model complexity, the need for faster time-to-insight, and the demand for secure, scalable computing infrastructure. Unlike incremental improvements seen in previous generations, the H100 delivers transformational performance gains that enable entirely new categories of applications and business opportunities. Organizations deploying H100 systems can tackle problems previously considered computationally impossible while dramatically reducing the time and resources required for AI development and deployment.
Revolutionary Architecture and Core Technologies
Hopper Architecture Foundation
The Hopper architecture represents NVIDIA’s most significant architectural advancement, incorporating breakthrough innovations specifically designed for the transformer-based AI models that power modern applications. This architecture enables H100 80GB to deliver up to 30X performance improvements for large language model inference compared to previous generations, making real-time conversational AI and complex natural language processing applications practical for enterprise deployment.
Transformer Engine Innovation
The revolutionary Transformer Engine combines advanced software algorithms with fourth-generation Tensor Core hardware to automatically optimize transformer model performance. This intelligent system dynamically applies mixed FP8 and FP16 precision calculations, delivering up to 4X faster training performance for GPT-3 175B parameter models while maintaining model accuracy. The Transformer Engine eliminates the need for manual optimization, allowing data scientists to focus on model development rather than performance tuning.
Advanced Tensor Core Technology
The fourth-generation Tensor Cores in the H100 80GB provide native support for FP8 precision, enabling massive performance improvements while reducing memory requirements. These Tensor Cores deliver up to 3,958 teraFLOPS of FP8 performance with sparsity optimization, providing the computational power needed for training and deploying the largest AI models. The hardware-level sparsity support automatically accelerates compatible models without requiring code modifications.
Product Variants and Configurations
- H100 SXM Configuration: The SXM variant represents the ultimate performance configuration, featuring 80GB of HBM3 memory, 3.35TB/s memory bandwidth, and 900GB/s NVLink connectivity. This configuration is optimized for maximum performance in multi-GPU clusters and is ideal for organizations requiring the highest computational throughput for training large AI models or running complex simulations.
- H100 NVL Configuration: The NVL variant provides exceptional performance in a PCIe form factor, featuring 94GB of HBM3 memory and 3.9TB/s memory bandwidth. This configuration includes a five-year NVIDIA AI Enterprise subscription and is specifically optimized for large language model inference, delivering up to 5X performance improvement over A100 systems for Llama 2 70B models while maintaining compatibility with standard server infrastructure.
see other products: AI Gpu card
Comprehensive Technical Specifications Comparison
Performance Metrics | H100 SXM | H100 NVL | Enterprise Impact |
FP64 Performance | 34 teraFLOPS | 30 teraFLOPS | Scientific computing acceleration |
FP64 Tensor Core | 67 teraFLOPS | 60 teraFLOPS | HPC workload optimization |
FP32 Performance | 67 teraFLOPS | 60 teraFLOPS | Traditional compute workloads |
TF32 Tensor Core* | 989 teraFLOPS | 835 teraFLOPS | AI training acceleration |
BFLOAT16 Tensor Core* | 1,979 teraFLOPS | 1,671 teraFLOPS | Mixed-precision AI workloads |
FP16 Tensor Core* | 1,979 teraFLOPS | 1,671 teraFLOPS | High-performance AI inference |
FP8 Tensor Core* | 3,958 teraFLOPS | 3,341 teraFLOPS | Next-generation AI models |
INT8 Tensor Core* | 3,958 TOPS | 3,341 TOPS | Optimized inference deployment |
Memory and Bandwidth | H100 SXM | H100 NVL | Business Advantage |
GPU Memory Capacity | 80GB HBM3 | 94GB HBM3 | Large model support |
Memory Bandwidth | 3.35TB/s | 3.9TB/s | Eliminates memory bottlenecks |
Memory Technology | HBM3 | HBM3 | Latest generation efficiency |
ECC Support | Yes | Yes | Enterprise data integrity |
Connectivity and I/O | H100 SXM | H100 NVL | Integration Benefit |
NVLink Bandwidth | 900GB/s | 600GB/s | Multi-GPU scaling capability |
PCIe Interface | Gen5: 128GB/s | Gen5: 128GB/s | Host system connectivity |
Video Decoders | 7 NVDEC, 7 JPEG | 7 NVDEC, 7 JPEG | Media processing capability |
Multi-Instance GPU | Up to 7 @ 10GB each | Up to 7 @ 12GB each | Resource virtualization |
Power and Physical | H100 SXM | H100 NVL | Deployment Consideration |
Maximum TDP | Up to 700W (configurable) | 350-400W (configurable) | Power planning requirements |
Form Factor | SXM | PCIe dual-slot air-cooled | Server compatibility |
Cooling Requirements | Liquid cooling recommended | Air cooling sufficient | Infrastructure requirements |
Enterprise Features | H100 SXM | H100 NVL | Business Value |
Confidential Computing | Yes | Yes | Hardware-level security |
Secure Boot | Yes | Yes | Trusted computing foundation |
NVIDIA AI Enterprise | Add-on | Included (5-year) | Complete software stack |
Professional Support | Available | Included | Enterprise-grade assistance |
Performance values with asterisk () include sparsity optimization benefits.
Exceptional Performance Benchmarks:
AI Training Performance Revolution: The H100 80GB delivers transformational improvements in AI model training performance. For GPT-3 175B parameter models, the H100 provides up to 4X faster training compared to A100 systems, while H100 clusters with NVLink Switch System deliver up to 10X performance improvements. For even larger models like Mixture of Experts Switch XXL with 395B parameters, the performance advantage extends to 9X improvement, enabling organizations to train massive models in dramatically reduced timeframes.
Large Language Model Inference Breakthrough: The H100’s inference performance represents a quantum leap for conversational AI applications. For Megatron chatbot inference with 530 billion parameters, the H100 delivers up to 30X higher throughput compared to A100 systems while maintaining sub-2-second latency. This performance enables real-time deployment of sophisticated AI assistants, complex reasoning systems, and interactive AI applications that were previously impractical for production use.
High-Performance Computing Excellence: Beyond AI workloads, the H100 provides exceptional performance for traditional HPC applications. For 3D Fast Fourier Transform operations, the H100 delivers 7X performance improvement over A100 systems, while genome sequencing applications see 6X performance gains. The innovative DPX instructions provide up to 40X acceleration for dynamic programming algorithms compared to CPUs, enabling breakthrough performance in disease diagnosis, routing optimization, and graph analytics.
Advanced Enterprise Features
Second-Generation Multi-Instance GPU (MIG)
The enhanced MIG capability allows organizations to partition a single H100 into up to seven isolated instances, each with dedicated memory and compute resources. This technology enables secure multi-tenancy in cloud environments, optimal resource utilization for diverse workloads, and improved quality of service for multiple users or applications sharing the same physical GPU.
NVIDIA Confidential Computing
NVIDIA H100 80GB incorporates hardware-based confidential computing capabilities that protect data and applications during processing. This feature ensures that sensitive information remains encrypted and secure even during computation, meeting the stringent security requirements of regulated industries and enabling secure multi-party computation scenarios.
NVLink Switch System Integration
The NVLink Switch System enables unprecedented scaling capabilities, providing 900GB/s bidirectional bandwidth per GPU and supporting multi-GPU configurations across multiple servers. This technology delivers 9X higher bandwidth than InfiniBand HDR, enabling efficient scaling of AI training and inference workloads across large clusters.
Target Applications and Use Cases of H100 NVL
- Enterprise AI Development: The H100 excels in training custom AI models, fine-tuning large language models, and deploying production AI services. Organizations can leverage the GPU’s exceptional performance to develop proprietary AI solutions, implement retrieval-augmented generation systems, and create sophisticated AI-powered applications that provide competitive advantages.
- Scientific Research and HPC: For research institutions and organizations requiring intensive computational capabilities, the H100 80GB accelerates climate modeling, drug discovery, financial risk analysis, and engineering simulations. The combination of high-precision computing capabilities and massive memory bandwidth enables researchers to tackle previously intractable problems.
- Conversational AI and Natural Language Processing: The H100 NVL’s transformer-optimized architecture makes it ideal for deploying large language models, chatbots, content generation systems, and language translation services. Organizations can implement sophisticated conversational AI systems that provide human-like interactions and complex reasoning capabilities.
Deployment Options and System Integration
NVIDIA HGX H100 Platform: The HGX H100 provides a complete multi-GPU solution with 4 or 8 H100 SXM GPUs, optimized cooling, and high-speed interconnects. This platform is ideal for organizations requiring maximum performance for large-scale AI training and inference workloads.
NVIDIA DGX H100 System: The DGX H100 represents the ultimate AI development platform, featuring 8 H100 GPUs, optimized software stack, and enterprise support. This turnkey solution eliminates integration complexity and provides immediate access to cutting-edge AI capabilities.
Partner and NVIDIA-Certified Systems: Both H100 variants are available in systems from leading server manufacturers, providing flexibility in deployment options and integration with existing data center infrastructure. These certified systems ensure optimal performance, reliability, and support.
Software Ecosystem and AI Enterprise
- NVIDIA AI Enterprise Integration: The H100 NVL includes a comprehensive five-year NVIDIA AI Enterprise subscription, providing access to optimized AI frameworks, pretrained models, development tools, and enterprise support. This software stack streamlines AI development and deployment while ensuring enterprise-grade security, stability, and performance.
- NVIDIA NIM Microservices: The included NIM microservices accelerate enterprise generative AI deployment by providing easy-to-use, optimized inference services for popular AI models. These microservices eliminate deployment complexity and enable rapid integration of AI capabilities into existing enterprise applications.
Investment Justification and Business Impact
- Transformational ROI: The H100’s exceptional performance improvements translate directly into business value through reduced training times, faster time-to-market for AI applications, and the ability to tackle previously impossible computational challenges. Organizations typically see 3-5X improvement in AI development productivity and 50-70% reduction in training costs compared to previous-generation solutions.
- Future-Proofing Investment: The H100’s advanced architecture and comprehensive software ecosystem ensure compatibility with emerging AI frameworks, model architectures, and enterprise applications. This future-proofing capability protects infrastructure investments and provides a foundation for continued innovation.
- Competitive Advantage: Early adoption of H100 80GB technology enables organizations to deploy AI capabilities that competitors cannot match, creating sustainable competitive advantages in AI-powered products, services, and operational efficiency.
The NVIDIA H100 Tensor Core GPU represents the definitive choice for enterprises seeking to harness the full potential of artificial intelligence and high-performance computing, delivering unprecedented performance, comprehensive enterprise features, and transformational business impact.
Brand
Nvidia
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Additional information
FP64 |
34 teraFLOPS |
---|---|
FP64 Tensor Core |
67 teraFLOPS |
FP32 |
67 teraFLOPS |
TF32 Tensor Core* |
989 teraFLOPS |
BFLOAT16 Tensor Core* |
1,979 teraFLOPS |
FP16 Tensor Core* |
1,979 teraFLOPS |
FP8 Tensor Core* |
3,958 teraFLOPS |
INT8 Tensor Core* |
3,958 TOPS |
GPU Memory |
80GB HBM2e |
GPU Memory Bandwidth |
3.35TB/s |
Decoders |
7 NVDEC, 7 JPEG |
Max Thermal Design Power (TDP) |
Up to 700W (configurable) |
Multi-Instance GPUs (MIGs) |
Up to 7 MIGs @ 10GB each |
Form Factor |
SXM (direct motherboard mount for servers) |
Interconnect |
NVIDIA NVLink: 900GB/s PCIe Gen5: 128GB/s |
Server Options |
Compatible with NVIDIA HGX H100 and DGX H100 systems (4 or 8 GPUs) |
NVIDIA AI Enterprise |
Add-on (sold separately) |
Use Cases |
Deep Learning Training ,High Performance Computing (HPC) ,Large Language Models (LLM) |
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