#HPC

[alexanderrogge]

Hewlett Packard Enterprise - One of two HPE Cray EX supercomputers to exceed an exaflop, Aurora is the second-fastest supercomputer in the world:

https://www.hpe.com/us/en/newsroom/press-release/2024/05/hewlett-packard-enterprise-delivers-second-exascale-supercomputer-aurora-to-us-department-of-energys-argonne-national-laboratory.html

HewlettPackard #HPE #Cray #Supercomputer #Aurora #Exascale #Quintillion #Argonne #HighPerformanceComputing #HPC #GenerativeAI #ArtificialIntelligence #AI #ComputerScience #Engineering

[sharon-ai]

Revolutionizing AI Workloads with AMD Instinct MI300X and SharonAI’s Cloud Computing Infrastructure

As the world rapidly embraces artificial intelligence, the demand for powerful GPU solutions has skyrocketed. In this evolving landscape, the AMD Instinct MI300X emerges as a revolutionary force, setting a new benchmark in AI Acceleration, performance, and memory capacity. When paired with SharonAI’s state-of-the-art Cloud Computing infrastructure, this powerhouse transforms how enterprises handle deep learning, HPC, and generative AI workloads.

At the heart of the MI300X’s excellence is its advanced CDNA 3 architecture. With an enormous 192 GB of HBM3 memory and up to 5.3 TB/s of memory bandwidth, it delivers the kind of GPUpower that modern AI and machine learning workloads demand. From training massive language models to running simulations at scale, the AMD Instinct MI300X ensures speed and efficiency without compromise. For organizations pushing the boundaries of infrastructure, this level of performance offers unprecedented flexibility and scale.

SharonAI, a leader in GPU cloud solutions, has integrated the AMD Instinct MI300X into its global infrastructure, offering clients access to one of the most powerful AIGPU solutions available. Whether you're a startup building new GenerativeAI models or an enterprise running critical HPC applications, SharonAI’s MI300X-powered virtual machines deliver high-throughput, low-latency computing environments optimized for today’s AI needs.

One of the standout advantages of the MI300X lies in its ability to hold massive models in memory without needing to split them across devices. This is particularly beneficial for Deep Learning applications that require processing large datasets and models with billions—or even trillions—of parameters. With MI300X on SharonAI’s cloud, developers and data scientists can now train and deploy these models faster, more efficiently, and more cost-effectively than ever before.

Another key strength of this collaboration is its open-source flexibility. Powered by AMD’s ROCm software stack, the MI300X supports popular AI frameworks like PyTorch, TensorFlow, and JAX. This makes integration seamless and ensures that teams can continue building without major workflow changes. For those who prioritize vendor-neutral infrastructure and future-ready systems, this combination of hardware and software offers the ideal solution.

SharonAI has further distinguished itself with a strong commitment to sustainability and scalability. Its high-performance data centers are designed to support dense GPU workloads while maintaining carbon efficiency—a major win for enterprises that value green technology alongside cutting-edge performance.In summary, the synergy between AMD Instinct MI300X and SharonAI provides a compelling solution for businesses looking to accelerate their AI journey. From groundbreaking GenerativeAI to mission-critical HPC, this combination delivers the GPUpower, scalability, and flexibility needed to thrive in the AI era. For any organization looking to enhance its ML infrastructure through powerful, cloud-based AIGPU solutions, SharonAI’s MI300X offerings represent the future of AI Acceleration and Cloud Computing.

[kamalkafir-blog]

High-Performance Computing (HPC) Systems Engineer

Job title: High-Performance Computing (HPC) Systems Engineer Company: Markon Job description: . Description: Markon is seeking a High-Performance Computing (HPC) Systems Engineer to support our NGA customer in Springfield, VA… and implement a secure, multi-level high-performance computing (HPC) platform. Define and document technical requirements… Expected salary: Location: Springfield, VA Job…

[colitco]

Blockmate Launches Bitcoin Mining Subsidiary With 200MW Capacity

TSX.V: MATE | OTCQB: MATEF | FSE: 8MH | Share Price: $0.12

Blockmate Ventures has launched Blockmate Mining, a wholly owned Bitcoin mining subsidiary, with a strategic site secured in Wyoming, USA. The new venture aims to become a major player in North America’s mining industry, backed by a scalable infrastructure and a bold “mine-and-hold” strategy.

May 2025 Mining Launch – Blockmate Highlights:

⚡ Phase 1 Deployment: 10MW mining capacity targeted within 6–12 months 📍 Strategic Location: Wyoming site adjacent to a major substation, expandable to 200MW ₿ Bitcoin Output Potential: Up to 200 BTC/month at full capacity (200MW) 💰 Ultra-Low Power Costs: Only USD 3.3c/kWh—one of the lowest in North America 🏦 Long-Term Yield Plan: 7–15% returns via BTC custody, staking & lending strategies

Why Blockmate Mining Matters:

High-Scalability Site: 200MW potential with robust energy and land infrastructure

Mine-and-Hold Model: Focused on BTC accumulation and long-term value creation

AI Integration Ready: Site offers future optionality to host AI & HPC workloads

Strategic Outlook:

⭐ Capital-Efficient Growth: Phase-wise rollout from 10MW to 50MW, then 200MW 🧠 Hybrid Infrastructure Vision: Exploring partnerships in AI & data center sectors 📈 NASDAQ Ambition: Plans to spin off Blockmate Mining as a separately listed entity

Leadership Perspective – Justin Rosenberg, CEO: “With our Wyoming site secured and investor interest strong, we’re building a scalable, capital-efficient mining operation that focuses on both BTC generation and value appreciation.”

Investor Snapshot & Outlook:

Blockmate (MATE) is emerging as a high-upside infrastructure play in the digital asset and AI revolutions. With ultra-low power costs, a scalable 200MW site, and a Bitcoin-yield model, the Company presents a compelling speculative opportunity. Backed by near-term catalysts—including a $15M funding round and phase-one deployment—investors are watching closely as Blockmate positions for aggressive growth and a potential NASDAQ listing.

🔗 Learn more: https://www.blockmate.com/s/Blockmate-Launches-Bitcoin-Mining-Subsidiary-With-200MW.pdf

Disclaimer: This is not investment advice, please do your own research for any investment decisions.

[goodoldbandit]

Powering the Future

Sanjay Kumar Mohindroo Sanjay Kumar Mohindroo. skm.stayingalive.in How High‑Performance Computing Ignites Innovation Across Disciplines. Explore how HPC and supercomputers drive breakthrough research in science, finance, and engineering, fueling innovation and transforming our world. High‑Performance Computing (HPC) and supercomputers are the engines that power modern scientific, financial,…

[crypto28ro]

Criptoarheologia: Vestigii Digitale în Blockchain

Studiul „Stratificării” Datelor Istorice și a Tranzacțiilor în Rețelele Descentralizate 1. Introducere Orice tehnologie emergentă se împletește cu o istorie care, la momentul ivirii sale, este puțin înțeleasă și greu de evaluat în timp real. Blockchain-ul, apărut în 2009 odată cu Bitcoin, reprezintă nu doar un protocol numeric cu aplicații financiare și de guvernanță, ci și un uriaș depozit de…

[icnweb]

한국이콜랩, 데이터센터 산업 지원 위해 신규 사업부 설립

첨단 액체 냉각 솔루션과 디지털 기술로 데이터센터 운영 효율성 강화 (image. 한국이콜랩) [아이씨엔 오승모 기자] ESG 솔루션 전문 기업 한국이콜랩(대표: 류양권)이 국내 데이터센터 기업을 지원하기 위해 전문 사업부를 신설한다고 밝혔다. 이번 사업부 설립은 글로벌 이콜랩의 디지털 기술을 국내 데이터센터 산업에 적용해 운영 효율성을 극대화하고, 지속가능한 ESG 경영을 지원하기 위한 목적이다. 글로벌 이콜랩은 지난 5년간 약 1조 원을 투자해 고도화된 디지털 기술을 개발해왔으며, 이를 통해 데이터 기반의 세밀한 모니터링이 가능한 맞춤형 솔루션을 제공할 예정이다. 한국이콜랩은 데이터센터 운영에 필수적인 액체 냉각 솔루션(Direct Liquid Cooling, DLC)을 제공해 AI 및 고성능…

[qhsetools2022]

Onsite - Systems Engineer (HPC) - Onsite - Houston, TX

Job title: Onsite – Systems Engineer (HPC) – Onsite – Houston, TX Company: Andeo Group Job description: , best practice procedures and QHSE requirements, as defined by job position…. Expected salary: Location: USA Job date: Tue, 11 Mar 2025 23:43:07 GMT Apply for the job now!

[hpcjourney]

Finally Feeling like a Storage Administrator

It has taken a few months, but I am starting to feel like a storage administrator–which is exciting. Obviously, still more to learn and that's a good thing. However, it is nice to finally be able to contribute!

[sharon-ai]

Accelerate AI with AMD Instinct MI300X With Sharon AI

Discover cutting-edge AI performance with the AMD Instinct MI300X, now integrated into Sharon AI’s high-performance cloud infrastructure. Built for extreme memory bandwidth and large-scale AI model training, the MI300X is ideal for advanced deep learning, HPC workloads, and generative AI. Empower your organization with scalable, energy-efficient GPU acceleration designed for tomorrow’s AI needs.

[sentivium]

1.4 ExaFLOPS! NVIDIA's INSANE New Data Center Superchip (GB200 NVL72)

Jensen Huang just revealed the NVIDIA GB200 NVL72, a monster data center superchip boasting 72 Blackwell GPUs and 1.4 exaFLOPS of compute power! We break down these mind-blowing specs and explore what they mean for the future of AI and high-performance computing.

[govindhtech]

AMD Alveo V80 Memory Compute Accelerators For HPC And AI

AMD Alveo V80 Compute Accelerator

Flexible Memory Acceleration Heavy Workloads Memory-Bound Compute with Hardware-Adaptable Acceleration.

Hardware-Adaptable Acceleration for Memory-Bound Compute

For tasks involving big data sets, the AMD Alveo V80 computing accelerator offers enormous processor parallelism and memory bandwidth. The card has the AMD Alveo portfolio’s maximum memory bandwidth, network speed, and logic density.

Benefits of AMD Alveo V80 Compute Accelerator

Hardware-Adaptable for Memory-Bound Workloads

HBM2e for big data sets and memory-intensive computation, along with FPGA fabric to adjust the hardware to the application.

2X Memory Bandwidth and Logic Density

The AMD Alveo V80 card is the most powerful compute accelerator in the Alveo range, with double the logic density and memory bandwidth compared to the previous generation.

Familiar FPGA Design Flow

For simplicity of setup, the Alveo V80 accelerator is paired with a design example specifically designed for Alveo hardware, which is made possible by the AMD Vivado Design Suite for conventional FPGA processes.

AMD Alveo V80 Compute Accelerator: An Overview

Hardware-Adaptable, Network-Attached Acceleration

The AMD Alveo V80 compute accelerator card is a quicker route to production than creating your own PCIe card as it is a production board in a PCIe form factor.

The card has four 200G networking ports, PCIe Gen4 and Gen5 interfaces, DDR4 DIMM slots for memory expansion, and Mini-Cool Edge I/O (MCIO) connections to grow across compute and storage nodes at PCIe Gen5 speeds. It is powered by an AMD Versal HBM device that delivers 820 GB/s.

Performance

Density & Bandwidth

1.8X Bandwidth of Memory

LUTs, or 2X Logic Density

4X Bandwidth of the Network

PCIe Bandwidth 2X

Accelerating Memory-Bound Applications

High-Performance Computing

The network-attached AMD Alveo V80 accelerator supports unique data formats and can handle hundreds of nodes. It may be used for a variety of HPC applications, such as molecular dynamics, genomic sequencing, and sensor processing.

Networking

The AMD Alveo V80 accelerator is perfect for firewall and packet monitoring since it has integrated cryptography engines and hardware that can be modified for specific packet processing. The card is also appropriate for GPU clustering in data center networks due to its custom data transfer.

Blockchain and FinTech

The AMD Alveo V80 card is perfect for algorithmic trading back-testing, option pricing, and Web3 blockchain cryptography, which are FinTech and blockchain workloads that require huge parallelism and include big data sets.

Storage Acceleration

The AMD Alveo V80 accelerator is perfect for compression in storage server nodes with SSD storage drives, enabling more efficient storage capacity per server.

Emulation of Hardware

The AMD Alveo V80 card offers network connectivity and hardware flexibility for hardware emulation of ASIC designs, allowing IP validation for communication protocols and bespoke IP before silicon tapeout.

Data Analytics & Database Acceleration

Energy efficiency, scalability, and quick time to insights are made possible by the AMD Alveo V80 card’s low-latency processing combined with HBM for huge data collections.

AMD Alveo Compute Accelerator Product

The AMD Versal HBM adaptive SoC-powered AMD Alveo V80 compute accelerator is designed to handle memory-intensive tasks in FinTech, data analytics, network security, storage acceleration, and high-performance computing (HPC).

Familiar FPGA Design Flows

The Alveo Versal Example Design (AVED), which is accessible on GitHub, fully enables the AMD Alveo V80 card for conventional hardware developers. Based on the AMD Vivado Design Suite, AVED streamlines hardware bring-up and accelerates development utilizing conventional FPGA and RTL procedures.

The Versal HBM device’s pre-built PCIe subsystem serves as an effective starting point for the example design, which is optimized for AMD Alveo hardware. It comes with host software for the Alveo Management Interface (AMI) for control and a stress test synthetic workload (XBTEST) for simple setup and testing on your preferred server.

Optimize memory-bound compute with a new accelerator for HPC and AI

The quantity and complexity of today’s workloads are skyrocketing due to huge data expansion and advancements in computer technologies. Advanced analytics and AI are increasing infrastructure needs. Manufacturing, healthcare, financial services, and life sciences companies may profit from artificial intelligence (AI) by gaining deeper insights from their data.

However, integrating the power of data and AI into the core of these businesses’ operations may encounter major obstacles. In order to get increased performance, flexibility, and adaptability, they must create a computing environment that surpasses the limits of conventional infrastructure. The secret to their success is high performance computing (HPC) technology.

In order to speed up the most data-intensive tasks, AMD has unveiled a new method. For tasks involving huge datasets, the AMD Alveo V80 computing accelerator offers enormous processor parallelism and memory bandwidth. Memory-bound applications that require hardware flexibility to accommodate unique data kinds and data mobility while scaling to handle high quantities at network line speeds are the target market for this flagship product. The card has the AMD Alveo portfolio’s maximum memory bandwidth, network speed, and logic density.

Read more on Govindhtech.com

[viperallc]

NVIDIA HGX H100 Delta-Next 8x 80GB SXM5 GPUs – 935-24287-0000-000

Meet the future of AI and high-performance computing: the NVIDIA HGX H100 Delta Next. With 8x 80GB SXM5 GPUs, this cutting-edge solution is designed to handle the most demanding workloads, from AI training to massive data processing. Discover how it can elevate your data center's capabilities.

Learn More: https://www.viperatech.com/product/nvidia-hgx-h100-delta-next-8x-80gb-sxm5-gpus-935-24287-0000-000/