Are you curious about which factories produce the best H800 GPUs? Understanding the top players in this market is crucial for making informed choices. By knowing the best options, you can ensure optimal performance and value. Dive in with us as we explore the leading H800 GPU factories!
NVIDIA A100 vs. H100 vs. H800: Performance Comparison
Product Details: NVIDIA A100, H100, and H800 are high-performance GPUs designed for AI and HPC workloads, each catering to different needs and scenarios.
Technical Parameters:
– A100: CUDA Cores: 6,912, Tensor Cores: 432, Memory: 40GB/80GB HBM2e, Memory Band…
– H100: CUDA Cores: 14,592, Tensor Cores: 456, Memory: 80GB HBM3, Memory Bandwidth…
– H800: CUDA Cores: 14,592, Tensor Cores: 456, Memory: 80GB HBM3, Memory Bandwidth…
Application Scenarios:
– A100: Best for budget-conscious organizations running diverse workloads and smal…
– H100: Ideal for training and serving large language models and cutting-edge AI a…
– H800: Suitable for regions with export restrictions, offering nearly identical p…
Pros:
– A100: Cost-effective for smaller models and diverse workloads.
– H100: Up to 9x faster AI training and 30x faster inference compared to A100.
– H800: Complies with export restrictions while maintaining high performance.
Cons:
– A100: Limited performance for large-scale AI workloads compared to H100.
– H100: Higher power consumption and cost.
– H800: Reduced NVLink bandwidth may impact performance in multi-GPU configuration…
NVIDIA H800 PCIe 80 GB Specs | TechPowerUp GPU Database
Product Details: NVIDIA H800 PCIe 80 GB, launched on March 21st, 2023, designed for professional applications.
Technical Parameters:
– Graphics Processor: GH100
– Memory Size: 80 GB HBM2e, Memory Bus: 5120 bit, Bandwidth: 2.04 TB/s
Application Scenarios:
– Machine learning applications
– High-performance computing tasks
Pros:
– High memory capacity of 80 GB
– Powerful processing capabilities with 14592 cores
Cons:
– Does not support DirectX, limiting gaming capabilities
– No display connectivity
ThinkSystem NVIDIA H800 PCIe Gen5 GPUs (withdrawn product) – Lenovo Press
H800 PCIe 80 GB: specs and benchmarks – Technical City
Product Details: NVIDIA H800 PCIe 80 GB, a Hopper architecture desktop card released on March 21, 2023, designed primarily for workstation use.
Technical Parameters:
– Architecture: Hopper (2022−2024)
– GPU Code Name: GH100
– CUDA Cores: 14592
– Core Clock Speed: 1095 MHz
– Boost Clock Speed: 1755 MHz
– Memory Type: HBM2e
– Memory Capacity: 80 GB
– Memory Bandwidth: 2039 GB/s
– Power Consumption: 350 Watt
– Form Factor: Dual-slot, PCIe 5.0 x16
Application Scenarios:
– High-performance computing tasks
– AI and machine learning workloads
– 3D rendering and design applications
Pros:
– High memory bandwidth for demanding applications
– Designed for workstation use with robust performance
Cons:
– No video outputs available
– High power consumption
Nvidia H800 PCIe 80GB – GadgetVersus
Product Details: Nvidia H800 PCIe 80GB Graphics Card
Technical Parameters:
– GPU Name: GH100
– Architecture: Hopper
– Memory Size: 80 GB HBM2e
– Memory Bandwidth: 2,039.0 GB/s
– TDP: 350 W
– Release Date: Q1 2023
Application Scenarios:
– High-performance computing tasks
– Deep learning and AI applications
Pros:
– High memory capacity and bandwidth
– Advanced architecture for improved performance
Cons:
– High power consumption (TDP: 350 W)
– Potentially high cost due to advanced technology
NVIDIA H800 PCIe 80 GB – cputronic.com
Product Details: NVIDIA H800 PCIe 80 GB GPU with 80GB HBM2e memory, base clock speed of 1095MHz, boost clock speed of 1755MHz, and TDP of 350W.
Technical Parameters:
– 18432 shading units
– 51.22 TFLOPS theoretical performance
Application Scenarios:
– 3D rendering
– video editing
Pros:
– Massive memory capacity of 80GB
– Exceptional processing power for demanding workloads
Cons:
– High TDP of 350W
– May be overkill for casual users
NVIDIA H800 PCIe 80 GB AI GPU: Detailed Specifications and Benchmark Tests
NVIDIA H800 – Advantech
Product Details: NVIDIA H800 80GB PCIe DSFH w/ATX BKT (Part Number: SKY-TESL-H800-80P)
Technical Parameters:
– NVIDIA Hopper GPU architecture
– 14592 NVIDIA® CUDA® Cores
– 456 NVIDIA® Tensor Cores
– 80GB HBM2e memory with ECC
– Up to 2TB/s memory bandwidth
– Max. power consumption: 350W
– Graphics bus: PCI-E 5.0 x16
– Thermal solution: Passive
Application Scenarios:
– AI edge solutions across key industries
– Compute-optimized GPU applications
Pros:
– High memory bandwidth
– Large memory capacity
Cons:
– High power consumption
– Requires advanced cooling solutions
SKY-TESL-H100-80P H100 SKY-TESL-H800-80P H800 – Advantech
Product Details: NVIDIA Tesla H100 and H800 PCIe cards are compute-optimized GPUs built on the NVIDIA Hopper architecture, designed for high-performance computing in data centers.
Technical Parameters:
– GPU Architecture: Hopper
– Memory: 80GB HBM2e with ECC, 2TB/s memory bandwidth, 14592 CUDA Cores, 456 Tenso…
Application Scenarios:
– AI deep learning training and inference
– Data analytics and high-performance computing (HPC) applications
Pros:
– High-performance computing solution with cutting-edge features
– Support for multi-instance GPU (MIG) for maximum utilization of resources
Cons:
– Max power consumption of 350W may require adequate power supply
– Passive thermal solution may limit performance in high-temperature environments
NVIDIA H800 Enterprise 80GB — Vipera – Tomorrow’s Technology Today
Product Details: NVIDIA H800 Enterprise 80GB
Technical Parameters:
– GPU Name: GH100
– Architecture: Hopper
– Process Size: 4 nm
– Transistors: 80,000 million
– Die Size: 814mm²
– Bus Interface: PCIe 5.0 x16
– Base Clock: 1095MHz
– Boost Clock: 1755MHz
– Memory Size: 80GB
– Memory Type: HBM3
– Memory Bus: 5120bit
– Bandwidth: 1920 GB/s
– TDP: 700W
– Suggested PSU: 1100W
Application Scenarios:
– AI chatbots
– Recommendation engines
– Vision AI
Pros:
– Up to 9X faster training for mixture-of-experts models
– Supports high-performance computing and AI workflows
Cons:
– High cost at $33,800.00
– No returns or cancellations allowed
Related Video
Comparison Table
| Company | Product Details | Pros | Cons | Website |
|---|---|---|---|---|
| NVIDIA A100 vs. H100 vs. H800: Performance Comparison | NVIDIA A100, H100, and H800 are high-performance GPUs designed for AI and HPC workloads, each catering to different needs and scenarios. | – A100: Cost-effective for smaller models and diverse workloads. – H100: Up to 9x faster AI training and 30x faster inference compared to A100. – H800… | – A100: Limited performance for large-scale AI workloads compared to H100. – H100: Higher power consumption and cost. – H800: Reduced NVLink bandwidth… | slviki.org |
| NVIDIA H800 PCIe 80 GB Specs | TechPowerUp GPU Database | NVIDIA H800 PCIe 80 GB, launched on March 21st, 2023, designed for professional applications. | – High memory capacity of 80 GB – Powerful processing capabilities with 14592 cores | – Does not support DirectX, limiting gaming capabilities – No display connectivity |
| ThinkSystem NVIDIA H800 PCIe Gen5 GPUs (withdrawn product) – Lenovo Press | lenovopress.lenovo.com | |||
| H800 PCIe 80 GB: specs and benchmarks – Technical City | NVIDIA H800 PCIe 80 GB, a Hopper architecture desktop card released on March 21, 2023, designed primarily for workstation use. | – High memory bandwidth for demanding applications – Designed for workstation use with robust performance | – No video outputs available – High power consumption | technical.city |
| Nvidia H800 PCIe 80GB – GadgetVersus | Nvidia H800 PCIe 80GB Graphics Card | – High memory capacity and bandwidth – Advanced architecture for improved performance | – High power consumption (TDP: 350 W) – Potentially high cost due to advanced technology | gadgetversus.com |
| NVIDIA H800 PCIe 80 GB – cputronic.com | NVIDIA H800 PCIe 80 GB GPU with 80GB HBM2e memory, base clock speed of 1095MHz, boost clock speed of 1755MHz, and TDP of 350W. | – Massive memory capacity of 80GB – Exceptional processing power for demanding workloads | – High TDP of 350W – May be overkill for casual users | cputronic.com |
| NVIDIA H800 PCIe 80 GB AI GPU: Detailed Specifications and Benchmark Tests | www.topcpu.net | |||
| NVIDIA H800 – Advantech | NVIDIA H800 80GB PCIe DSFH w/ATX BKT (Part Number: SKY-TESL-H800-80P) | – High memory bandwidth – Large memory capacity | – High power consumption – Requires advanced cooling solutions | www.advantech.com |
| SKY-TESL-H100-80P H100 SKY-TESL-H800-80P H800 – Advantech | NVIDIA Tesla H100 and H800 PCIe cards are compute-optimized GPUs built on the NVIDIA Hopper architecture, designed for high-performance computing in d… | – High-performance computing solution with cutting-edge features – Support for multi-instance GPU (MIG) for maximum utilization of resources | – Max power consumption of 350W may require adequate power supply – Passive thermal solution may limit performance in high-temperature environments | advdownload.advantech.com |
| NVIDIA H800 Enterprise 80GB — Vipera – Tomorrow’s Technology Today | NVIDIA H800 Enterprise 80GB | – Up to 9X faster training for mixture-of-experts models – Supports high-performance computing and AI workflows | – High cost at $33,800.00 – No returns or cancellations allowed | viperatech.com |
Frequently Asked Questions (FAQs)
What is an H800 GPU factory?
An H800 GPU factory is a specialized manufacturing facility focused on producing H800 graphics processing units. These factories are equipped with advanced technology and processes to ensure high-quality production, catering to the growing demand for powerful GPUs in gaming, AI, and data processing.
Where are H800 GPU factories located?
H800 GPU factories are primarily located in regions with a strong tech infrastructure, such as China, Taiwan, and parts of the United States. These locations benefit from access to skilled labor, supply chains, and research facilities that support GPU manufacturing.
What are the main uses of H800 GPUs?
H800 GPUs are commonly used in high-performance computing, gaming, artificial intelligence, and machine learning applications. They excel at processing large amounts of data quickly, making them ideal for tasks that require extensive graphical computations and parallel processing.
How do H800 GPUs compare to other GPUs?
H800 GPUs typically offer enhanced performance, efficiency, and features compared to older models or lower-tier GPUs. They are designed for demanding applications, providing better frame rates in gaming and faster processing times in AI and data analytics tasks.
What should I consider when buying H800 GPUs?
When buying H800 GPUs, consider your specific needs, such as gaming performance, computational power, and budget. Additionally, check compatibility with your existing hardware, cooling solutions, and power supply requirements to ensure optimal performance.
