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GPU-Accelerated Storage
548

GPU-Accelerated Storage Fundamentals #1 — Why AI Needs a New Kind of Storage-- Extremely High Input-Output Per Second Storage

Modern AI workloads shift storage demands from bandwidth to high IOPS and concurrency. GPUs require continuous small, random data access (512B–8KB), making data delivery—not compute—the main bottleneck. Traditional CPU-centric storage cannot sustain the required parallelism, leading to underutilized GPUs. As a result, storage must evolve from capacity-focused (TB/TCO) to concurrency-driven (IOPS/TCO), becoming an active, high-performance data layer for AI systems.

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AI Storage
5553

AI Storage Fundamentals #1 — Why AI Needs a New Kind of Memory/Storage

AI now bottlenecks on storage, not compute. GPUs demand fast, parallel, low-latency data delivery.

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CXL
3044

Supercharging Your Server Efficiency? CXL Memory Sharing Might Be the Answer

Unlock stranded memory and redefine data center efficiency with H3’s CXL Memory Sharing—delivering scalable, high-performance, and composable infrastructure for next-gen AI and HPC workloads.

Read More
CXL
5992

How CXL Switch Interacts with Host CPUs — and the Configuration Required for Each CPU Type

CXL switch setup guide: BIOS and CLI configs for GNR & Turin, kernel parameter tuning, and DAX setup to enable reliable memory use.

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GPU
265241

Which GPU Is The Best? RTX 5090, RTX PRO 6000 Blackwell, or RTX 4090?

Compare RTX 5090, RTX PRO 6000 Blackwell, RTX 4090, and RTX 6000 Ada performance in deep learning, rendering, and gaming to figure out the best value GPU in different fields.

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CXL
3259

Breaking Through Memory Bottlenecks: 210 Million IOPS with Composable Memory Systems

Composable Memory Systems, powered by CXL, enable dynamic memory pooling to optimize resource utilization, reduce idle rates, and lower TCO in data centers. With up to 210M IOPS and 120GB/s bandwidth, it enhances AI, HPC, and cloud workloads by providing high-bandwidth, low-latency access. Seamlessly integrating with PCIe-based infrastructures, it ensures scalable, cost-efficient memory expansion without extensive hardware modifications.

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CXL
7093

Breakthrough in CXL 2.0 Memory Pooling/Sharing Technology: Four Servers Share 2TB of Memory, Achieving 210M IOPS and 120GB/s Bandwidth

H3 Platform has developed a CXL 2.0 Memory Pooling/Sharing system, enabling four servers to share 2TB of CXL memory. Performance tests showed 66M IOPS and 43GB/s bandwidth per server, scaling to 210M IOPS and 120GB/s across four servers. This breakthrough enhances HPC, big data, and in-memory databases. H3 Platform will continue advancing CXL memory pooling and sharing solutions for data center innovation.

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CXL
3346

Revolutionizing Data-Intensive Applications: Unleashing the Power of CXL Memory Chassis and FAMFS

This blog introduces H3 Platform's CXL 2.0 memory chassis and Micron's FAMFS, showcasing their revolutionary impact on data-intensive applications like RocksDB. It highlights the solution's enhanced memory capacity, performance stability, and compatibility, making it ideal for modern workloads in AI, machine learning, and databases.

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GPU-Accelerated & AI Storage

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GPU-Accelerated Storage
548

GPU-Accelerated Storage Fundamentals #1 — Why AI Needs a New Kind of Storage-- Extremely High Input-Output Per Second Storage

Modern AI workloads shift storage demands from bandwidth to high IOPS and concurrency. GPUs require continuous small, random data access (512B–8KB), making data delivery—not compute—the main bottleneck. Traditional CPU-centric storage cannot sustain the required parallelism, leading to underutilized GPUs. As a result, storage must evolve from capacity-focused (TB/TCO) to concurrency-driven (IOPS/TCO), becoming an active, high-performance data layer for AI systems.

Read More
AI Storage
5553

AI Storage Fundamentals #1 — Why AI Needs a New Kind of Memory/Storage

AI now bottlenecks on storage, not compute. GPUs demand fast, parallel, low-latency data delivery.

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NVMe SSD
2771

PCIe Gen 5 NVMe MR-IOV Solution for Storage Scalability

H3 is to launch a PCIe Gen 5 NVMe MR-IOV solution to improve resource utilization and performance in data centers.

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NVMe SSD
4902

Future Datacenter Storage - NVMe Over PCIe Fabric

PCIe, as a fabric, has several natural strength concerning NVMe applications. PCIe network eliminates transport abstraction between host and the NVMe SSD as NVMe protocol transfer data via PCIe Bus directly. Moreover, the high-bandwidth and low-latency that PCIe offers reduces bottleneck caused by networking.

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NVMe SSD
11967

NVMe MR-IOV – High-Performance Storage Solution for Virtual Environment Deployments.

Explore how Falcon NVMe MR-IOV solution secures SSD performance under multi-host virtualized environments.

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NVMe SSD
13249

Increase the Efficiency of Storage System with Multi-host SR-IOV solution

Discuss how NVMe SR-IOV and multi-host architecture and solution for the emerging storage performance and flexibility.

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Composable Infrastructure

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Composable Infrastructure
1054

Navigating Complexity: A Corporate Odyssey Towards Network Optimization

A corporate firm partnered with H3 to optimize network resources and improve resource allocation efficiency. H3's engineers prioritized customer communication, providing comprehensive responses through real-time tools. They developed feasible implementation plans, offering choices and ensuring alignment with customer needs. Experimenting in a virtual environment led to successful deployment in the customer's setting. Ongoing customer support and training were provided, resulting in achieved goals and customer satisfaction. A manufacturing corporation's success story exemplifies H3's tailored solution for dynamic resource allocation. This case highlights H3's ability to understand complex challenges and deliver effective, transformative outcomes in collaboration with clients.

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Composable Infrastructure
926

Efficiently Supporting AI Workloads: Harnessing the Potential of Composable Infrastructure

Artificial Intelligence (AI) is revolutionizing industries and bringing advancements in personalized experiences and intelligent technologies. However, traditional infrastructure struggles to meet the dynamic demands of AI workloads. Composable Infrastructure as a Service (CIAAS) addresses these challenges by offering flexible resource allocation and efficient utilization. It enables organizations to dynamically allocate compute resources, optimize performance, and reduce costs. With its elasticity, simplified management, and efficient utilization, Composable Infrastructure empowers organizations to leverage AI technologies effectively and unlock their full potential.

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Composable Infrastructure
1642

Multinational Software Corporation Utilizes FPGAs to Optimize Columnar Data Compression for Efficient Data Processing

A software corporation made a system to compress data for businesses. They used FPGAs and Linux to make the compression faster and easier to move between servers. They connected 24 FPGAs to accelerate data processing and plan to use this in production to save time.

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Composable Infrastructure
826

H3's Deep Knowledge in PCIe Switch and Composable Instrastructure

H3's PCIe switch expert, having years of experience and domain knowledge, successfully solved our customer's problems. The customer gave a big thanks to H3 for the comprehensive service.

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Composable Infrastructure
962

Research-Based Application of Composable GPU Solution to Multiple AI Training Usage

Along with the mega-trends of cloud computing proliferation, AI growth, and Network cloudification, a broader range of emerging workloads exerts pressure on data centers to turn to composable infrastructure.

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Composable Infrastructure
1047

Customer Story: NIC Card Composable Solution

The testing procedure in a testing environment has been well-optimized with H3's ODM NIC cards composable system.

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Composable Infrastructure
1202

Customer Story － FPGA Composable Solution

H3 helps an EAP vendor build FPGA composable system, effectively accelerating the data processing course.

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Composable Infrastructure
2032

Delivering you a Better Enterprise - PCIe Gen 5 Composable Solution

Learn more about the future-proof composable infrastructure with the three keywords: Speed, Scale, and Flexibility.

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Infrastructure Foundations

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CXL
3044

Supercharging Your Server Efficiency? CXL Memory Sharing Might Be the Answer

Unlock stranded memory and redefine data center efficiency with H3’s CXL Memory Sharing—delivering scalable, high-performance, and composable infrastructure for next-gen AI and HPC workloads.

Read More
CXL
5992

How CXL Switch Interacts with Host CPUs — and the Configuration Required for Each CPU Type

CXL switch setup guide: BIOS and CLI configs for GNR & Turin, kernel parameter tuning, and DAX setup to enable reliable memory use.

Read More
GPU
265241

Which GPU Is The Best? RTX 5090, RTX PRO 6000 Blackwell, or RTX 4090?

Compare RTX 5090, RTX PRO 6000 Blackwell, RTX 4090, and RTX 6000 Ada performance in deep learning, rendering, and gaming to figure out the best value GPU in different fields.

Read More
CXL
3259

Breaking Through Memory Bottlenecks: 210 Million IOPS with Composable Memory Systems

Composable Memory Systems, powered by CXL, enable dynamic memory pooling to optimize resource utilization, reduce idle rates, and lower TCO in data centers. With up to 210M IOPS and 120GB/s bandwidth, it enhances AI, HPC, and cloud workloads by providing high-bandwidth, low-latency access. Seamlessly integrating with PCIe-based infrastructures, it ensures scalable, cost-efficient memory expansion without extensive hardware modifications.

Read More
CXL
7093

Breakthrough in CXL 2.0 Memory Pooling/Sharing Technology: Four Servers Share 2TB of Memory, Achieving 210M IOPS and 120GB/s Bandwidth

H3 Platform has developed a CXL 2.0 Memory Pooling/Sharing system, enabling four servers to share 2TB of CXL memory. Performance tests showed 66M IOPS and 43GB/s bandwidth per server, scaling to 210M IOPS and 120GB/s across four servers. This breakthrough enhances HPC, big data, and in-memory databases. H3 Platform will continue advancing CXL memory pooling and sharing solutions for data center innovation.

Read More
CXL
3346

Revolutionizing Data-Intensive Applications: Unleashing the Power of CXL Memory Chassis and FAMFS

This blog introduces H3 Platform's CXL 2.0 memory chassis and Micron's FAMFS, showcasing their revolutionary impact on data-intensive applications like RocksDB. It highlights the solution's enhanced memory capacity, performance stability, and compatibility, making it ideal for modern workloads in AI, machine learning, and databases.

Read More
CXL
6340

Exploring the Future of AI with CXL Memory Sharing Architecture

In the rapidly evolving AI landscape, traditional computing architectures struggle to meet the memory and processing demands of modern applications. CXL (Compute Express Link) Memory Sharing Architecture offers a scalable, efficient solution by allowing dynamic resource allocation. This architecture disaggregates traditional servers into nodes dedicated to compute, memory, or GPU resources, which are then logically composed into a unified system as needed. An example is the AI Cloud, which uses CXL memory for AI GPU servers connected via PCIe 5.0 x16 to an H3 CXL Memory Box with E3.S 2T x8 modules. This setup enhances performance through memory pooling and high-bandwidth connections, ensures scalability with flexible resource allocation, reduces costs by optimizing resource utilization, and simplifies management with centralized control and dynamic reconfiguration. As AI advances, CXL Memory Sharing Architecture is crucial for organizations to stay innovative and efficient.

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CXL
1242

Highlights and Progress from Computex 2024: H3's Cutting-Edge Solutions in the Spotlight

H3 showcased innovative solutions like the CXL 2.0 Memory Sharing and PCIe Gen5 GPU at Computex 2024. Engaging a diverse audience, including cloud and AI users, they highlighted seamless integration tests with leading technologies. Looking forward, H3 is committed to advancing technology, fostering partnerships, and pushing the boundaries of computing capabilities.

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