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# Source Code LLC: Data Center and Edge Computing Solutions, HPC, AI, IoT

## Sitemaps
[XML Sitemap](https://sourcecode.com/sitemap_index.xml): Includes all crawlable and indexable pages.

## Posts
- [Smart Backup Is Smart Business](https://sourcecode.com/smart-backup-is-smart-business/): Smart backup is smart business because backup is no longer just about storing copies of data. It is about building a data protection strategy that supports resilience, practical recovery, and sustainable growth.
- [Why Co-Design is the Future of Intelligent Infrastructure ](https://sourcecode.com/why-co-design-is-the-future-of-intelligent-infrastructure/): There’s a growing challenge in how we build high-performance computing infrastructure. As specialized chips, accelerators, fabrics, and storage solutions flood the market, one question has become central: 
- [The Rise of Application-Defined Infrastructure: Why Workloads Should Drive System Design](https://sourcecode.com/the-rise-of-application-defined-infrastructure-why-workloads-should-drive-system-design/): In today’s digital world, applications are no longer just software tools that support the business. They are the business. They deliver customer experiences, enable discovery and insight, and drive innovation. Applications define how an organization competes and succeeds, which means infrastructure can no longer be static or one-size-fits-all. It must adapt to the unique and evolving needs of the applications it serves.  
- [Green & Efficient HPC: Liquid Cooling Isn’t Just for Giants Anymore](https://sourcecode.com/green-efficient-hpc-liquid-cooling-isnt-just-for-giants-anymore/): Liquid cooling has been part of high-performance computing from the beginning. Mainframes and systems more geared towards HPC, like the CDC-6600, ran hot and fast and needed liquid cooling, and Cray systems pushed those limits even further. The Cray-2 system, for example, used full immersion cooling, complete with a striking “waterfalls” implementation, to manage its thermal load. Seymour Cray, whose 100th birthday would have been this year, has been famously quoted about the need for “plumbing” in supercomputers.
- [Why Storage is Often the Bottleneck in Big Data—And How to Fix It](https://sourcecode.com/why-storage-is-often-the-bottleneck-in-big-data-and-how-to-fix-it/): Most big data teams know the feeling: you’ve scaled out compute, added more nodes, maybe even containerized your workflows. But performance still lags—especially when it comes to real-time analytics, streaming pipelines, or training models at scale. Why?
- [Why Public Cloud Isn’t Always the Best Fit for CFD](https://sourcecode.com/why-public-cloud-isnt-always-the-best-fit-for-cfd/): Understanding the Limits of the Cloud When Simulation Speed, Cost, and Control Matter Most.
- [SourceCode Expands AI Factory Offerings with Atlas AI Ignite at GTC 2025](https://sourcecode.com/sourcecode-expands-ai-factory-offerings-with-atlas-ai-ignite-at-gtc-2025/): NORWOOD, MA – March 12, 2025 – In anticipation of NVIDIA GTC 2025 next week where the industry will explore ‘What’s Next in AI,’ SourceCode, a leader in hardware co-design from device to datacenter, today announced Atlas AI Ignite, a scalable, entry-level solution that enables organizations to rapidly deploy and scale AI factories optimized for their applications. This new offering is an expansion of the previously announced Atlas AI Cluster, creating a full spectrum of AI solutions from entry-level single-rack deployments to exascale-class computing.
- [Why Customized Storage Is Essential for AI](https://sourcecode.com/why-customized-storage-is-essential-for-ai/): Data storage isn’t a one-size-fits-all game. Whether you're managing massive datasets, optimizing AI/ML performance, or scaling infrastructure for future growth, your storage needs are as unique as your workloads. A custom storage solution ensures your system is purpose-built for today’s demands and ready to evolve with your business.
- [Real-Time Performance Insights with Gryf: A Game Changer for Sports Analytics](https://sourcecode.com/real-time-performance-insights-with-gryf-a-game-changer-for-sports-analytics/): Imagine tracking an athlete’s sprint speed and fatigue levels mid-match, allowing tactical substitutions before an injury occurs. Gryf makes this possible, giving teams a competitive advantage and ensuring player safety.
- [The Future of Injury Prevention and Training Optimization with Gryf](https://sourcecode.com/the-future-of-injury-prevention-and-training-optimization-with-gryf/): Athlete health and performance are at the core of every successful sports team. Despite the implementation of advanced training programs, sports injuries continue to rise across various organizations. For instance, a 2024 report highlighted that injuries cost top European soccer leagues a combined 732 million euros during the 2023-24 season, reflecting a 4% rise from the previous year and a 37% increase since 2020-21. These statistics underscore the persistent challenge of injury prevention in sports.
- [How AI Factories are Creating “InfraTech,” a New Chapter in IT Infrastructure](https://sourcecode.com/how-ai-factories-are-creating-infratech-a-new-chapter-in-it-infrastructure/): In high-performance computing (HPC), three critical infrastructure technologies— AI factories, liquid cooling, and modular datacenters—are reshaping how organizations design and scale their IT systems. As digital transformation accelerates, AI takes a central role in business strategy, and high-density processing becomes the norm, these technologies have emerged as essential pre-requisites and are forming the new “InfraTech” area.
- [Boston Ltd., Castrol, and Submer Team Up to Deliver Advanced Liquid Cooling to Reduce Costs for AI Factories](https://sourcecode.com/boston-ltd-castrol-and-submer-team-up-to-deliver-advanced-liquid-cooling-to-reduce-costs-for-ai-factories/): Addressing the growing need to reduce deployment costs for AI factories with GPU-dense systems, Boston Ltd., a pioneer of hardware co-design from device to datacenter, today announced a global collaboration with Castrol, an expert in thermal management fluids, and Submer, a market leader in immersion cooling. The alliance provides integrated "infra-tech" solutions that enhance sustainability while driving cost savings in power consumption and datacenter cooling.
- [New Integrated Solution Simplifies AI Factory Buildout](https://sourcecode.com/new-integrated-solution-simplifies-ai-factory-buildout/): At the SC24 conference held here, SourceCode, a pioneer of hardware co-design from device to datacenter, today announced the Atlas AI Cluster, an integrated solution featuring technology from Eviden and VDURA to bring up AI factories with optimal cost and performance. Partnering with Eviden, a global leader in exascale-class supercomputing, and VDURA, whose recently-launched Data Platform software is purpose-built for AI storage needs, ensures customers receive the best-in-class solution for AI deployment.
- [Co-Design in HPC: Navigating a New Era Marked by Post Moore’s Law, Edge-to-Exascale Workflows, and AI](https://sourcecode.com/co-design-in-hpc-navigating-a-new-era-marked-by-post-moores-law-edge-to-exascale-workflows-and-ai/): Three significant drivers are reshaping how organizations approach their computing infrastructure and bringing HPC towards the center of IT strategies: (1) the proliferation of technology choices, (2) the need for a computing "fabric" that spans from device to datacenter, and (3) the emergence of artificial intelligence (AI) as a new ecosystem.
- [GigaIO and SourceCode Launch First Ever Suitcase-sized AI Supercomputer](https://sourcecode.com/gigaio-and-sourcecode-launch-first-ever-suitcase-sized-ai-supercomputer/): Co-designed for portability and scalability, Gryf is airline cabin baggage-compliant and purpose-built for go-anywhere insights at the edge.
- [The Power of Co-Design Manufacturing: Achieving Quality and Efficiency with SourceCode](https://sourcecode.com/the-power-of-co-design-manufacturing-achieving-quality-and-efficiency-with-sourcecode/): In a recent interview with Parag Shah, CTO of Comark, the edge devices and embedded-AI division of SourceCode, we dove into the world of co-design manufacturing and explored the benefits of this collaborative approach to design and production.
- [Hardware Co-Design: Tapping into a Quiet Revolution](https://sourcecode.com/hardware-co-design-tapping-into-a-quiet-revolution/): Hardware co-design refers to a collaborative process where a vendor and its partners join forces with a customer to design and develop an integrated best of breed solution that precisely meets the customer’s business requirements and can evolve seamlessly into the future. This grand partnership identifies the wide range of technologies and expertise that is needed across the whole solution stack, leverages the expertise and resources of all participants, and brings alignment to all the pieces. 
- [Eviden and SourceCode: Pioneering Exascale Computing for the Enterprise ](https://sourcecode.com/eviden-and-sourcecode-pioneering-exascale-computing-for-the-enterprise/): Partnership Brings HPC, AI, and Quantum Solutions to North American Market 
- [Demystifying GPU Cooling Solutions: Best Practices for AI Infrastructure ](https://sourcecode.com/demystifying-gpu-cooling-solutions-best-practices-for-ai-infrastructure/): High-performance GPUs generate substantial heat during intense AI workloads, and effective cooling solutions are essential to prevent thermal throttling and maintain peak efficiency. In fact, thermal management in the datacenter is rapidly becoming a major area of study and innovation. In this blog, we will explore GPU cooling solutions and highlight some best practices to keep your high-density infrastructure running at its best. 
- [Key Factors to Consider When Selecting a GPU Solution for Artificial Intelligence](https://sourcecode.com/key-factors-to-consider-when-selecting-a-gpu-solution-for-artificial-intelligence/): With numerous options available, the importance of selecting the right GPU solution is crucial to maximizing the potential of your AI applications. Here are some essential aspects to keep in mind during your decision-making process. 
- [L40S GPU for AI and Graphics Performance](https://sourcecode.com/l40s-gpu-for-ai-and-graphics-performance/): When it comes to choosing the right GPU for AI and graphics performance, NVIDIA offers a range of GPUs, including the L40S and A100, both of which can deliver impressive performance. However, there are distinct differences between the two that can make the L40S a better choice for certain applications.

## Pages
- [LStore](https://sourcecode.com/lstore/): LStore, or Logistical Storage, is a customizable storage architecture for organizations managing large datasets, high-throughput workflows, and long-term data growth. It aligns performance and capacity to how your data is used, rather than forcing a one-size-fits-all model.
- [NVIDIA GB200 NVL72](https://sourcecode.com/nvidia-gb200-nvl72/): The GB200 NVL72 is a trailblazing exa-scale AI infrastructure platform. With 72 Blackwell GPUs interconnected via NVIDIA’s high-speed NVLink fabric and cooled by an advanced direct-to-chip liquid system, it is engineered for breakthrough performance in large-scale model training and deployment, real-time AI inference, enterprise analytics, scientific modeling, and media generation.
- [Exascale Computing](https://sourcecode.com/exascale-computing/): Exascale workloads demand dense compute, high interconnect bandwidth, and predictable performance at scale. SourceCode delivers an exascale-class platform built around the NVIDIA GB200 NVL72, providing tightly integrated GPU compute, low-latency NVLink connectivity, and a thermally efficient enclosure designed for sustained, full-load operation. This system gives organizations a clear path to training multi-trillion-parameter models, running large-scale simulations, and consolidating heterogeneous AI and HPC workloads into a single, high-density unit that scales across racks and clusters.
- [Thank You](https://sourcecode.com/thank-you/): Thank You! Your form has been submitted successfully. Go Back to Home
- [Modular Datacenters](https://sourcecode.com/liquid-cooling/modular-datacenters/): In the world of high-performance computing, effective thermal management is crucial. By collaborating with industry-leading liquid cooling experts, SourceCode brings you leading-edge solutions for server racks and clusters to ensure your systems operate at peak potential.
- [Rear-Door/In-Row Heat Exchangers](https://sourcecode.com/liquid-cooling/rear-door-in-row-heat-exchangers/): In the world of high-performance computing, effective thermal management is crucial. By collaborating with industry-leading liquid cooling experts, SourceCode brings you leading-edge solutions for server racks and clusters to ensure your systems operate at peak potential.
- [Immersion Cooling](https://sourcecode.com/liquid-cooling/immersion-cooling/): In the world of high-performance computing, effective thermal management is crucial. By collaborating with industry-leading liquid cooling experts, SourceCode brings you leading-edge solutions for server racks and clusters to ensure your systems operate at peak potential.
- [Direct Liquid Cooling (DLC)](https://sourcecode.com/liquid-cooling/direct-liquid-cooling-dlc/): In the world of high-performance computing, effective thermal management is crucial. By collaborating with industry-leading liquid cooling experts, SourceCode brings you leading-edge solutions for server racks and clusters to ensure your systems operate at peak potential.
- [Gryf with Ipsotek VISuite](https://sourcecode.com/products/edge/gryf/ipsotek-2/): AI at the Edge: Smarter Surveillance, Deeper Insights, Faster Decisions
- [AI Ignite Cluster](https://sourcecode.com/ai-ignite-cluster/): Co-designed by SourceCode and Powered by Dell and VDURA, Atlas AI Ignite Delivers an Integrated, Best-in-Class Solution for Rapid AI Development
- [AI Factory Cluster](https://sourcecode.com/ai-factory-cluster/): Integrated Solution is Co-designed by SourceCode and Features Best-in-Class Technology from Gigabyte and VDURA for Simplified AI Factory Deployment
- [Services](https://sourcecode.com/services/): SourceCode has established itself as a standout provider of hardware services, offering an unparalleled combination of customer care excellence, engineering prowess, and business savvy. Our growing portfolio of services is designed to cover individual systems, long-term care for custom edge devices, and ongoing services for integrated solutions. In addition, customized services are available to meet individual requirements.
- [Janus Multi-Format Storage Cluster](https://sourcecode.com/janus-multi-format-storage-cluster/): Whether you're starting with a small-scale proof-of-concept cluster or planning to scale up to multiple terabytes, Janus delivers the flexibility and performance needed for growth. Ceph software-defined storage drives the Janus Multi-Format Storage Cluster, offering unified block, object, and file storage on a single platform. This design supports a wide range of data storage needs, from high-growth block storage to object stores and data lakes.
- [Titania Edge CDI Cluster](https://sourcecode.com/products/edge/titania-edge-cdi-cluster/): As computing advances and more data can be gathered at the edge, more organizations are looking to accelerated computing to extract greater value and even functionality from at the edge.
- [What to Expect](https://sourcecode.com/what-to-expect/): Designing and deploying clusters or other complex installations can be challenging. At SourceCode, we specialize in these projects and bring extensive experience to the table. As a vendor-agnostic partner, our focus is on understanding your requirements and finding the best solutions to meet your specific needs.
- [Atlas AI Ignite: Scale-as-you-Go AI Factory](https://sourcecode.com/atlas-ai-ignite/): Co-designed by SourceCode and Powered by Dell and VDURA, Atlas AI Ignite Delivers an Integrated, Best-in-Class Solution for Rapid AI Development
- [Storage Software Solutions](https://sourcecode.com/storage-software-solutions/): Explore our diverse range of high-performance storage solutions tailored to meet the most demanding workloads and specialized requirements. Whether you're looking for speed, scalability, or simplified data management, we work with industry leading storage software partners to choose the solution that best fits your needs.
- [OSNexus](https://sourcecode.com/osnexus/): QuantaStor is an SDS platform that transforms standard hardware into a scalable storage solution supporting file, block, and object protocols. Installable on any 64-bit server, it integrates with other QuantaStor servers to form a grid scalable up to 100 petabytes. With extensive flexibility and configuration options, QuantaStor optimizes workload performance and enhances fault tolerance for diverse storage needs.
- [Rack Scale Systems](https://sourcecode.com/rack-scale-systems/): SourceCode co-designs and delivers customized, rack-scale solutions engineered to tackle the most complex server design challenges. Driven by a commitment to speed and reliability, we ensure every project is built with exceptional quality, delivered on time, and deployed globally.
- [Workstations](https://sourcecode.com/workstations/): Choose from a diverse range of powerful workstations, designed to support any application—from high-performance computing and AI development to complex simulations and creative design.
- [Storage](https://sourcecode.com/storage/): Browse our comprehensive lineup of configurable storage architectures designed to meet the unique demands of your business and workloads. From scalable NAS and SAN systems to robust object storage, our versatile storage solutions are tailored for data management, efficiency, and growth.
- [Servers](https://sourcecode.com/servers/): Explore our comprehensive range of reliable, pre-configured servers—including GPU, HPC, enterprise, and more—that can also be tailored for specialized needs. Whether you're looking to scale up your current infrastructure or build a system from scratch, our customizable servers are designed with flexibility and performance in mind.
- [Ceph](https://sourcecode.com/ceph/): Ceph leverages commodity hardware to free storage clusters from the usual limitations of scalability and performance. It ensures high performance and nearly limitless scalability by dynamically replicating and rebalancing data throughout the cluster. With the unique ability to unify block, object, and file storage on a single platform, Ceph offers an adaptable, comprehensive solution for diverse data storage requirements.
- [Why SourceCode?​](https://sourcecode.com/company/why-sourcecode/): As experts in co-design, engineering, co-manufacturing, and supply chain management, we create tailored solutions for the world’s top enterprises. 
- [Exascale Computing with Eviden and SourceCode](https://sourcecode.com/eviden/): SourceCode now offers Eviden’s full portfolio of advanced computing systems along with a tailored, high-touch deployment strategy that optimizes every aspect of your infrastructure. The SourceCode-Eviden partnership delivers these innovations to North American governments, businesses, and academic institutions.
- [Liquid Cooling](https://sourcecode.com/liquid-cooling/): Managing heat is a critical challenge given the increasing power density of high-performance computing (HPC) and artificial intelligence (AI) systems. Traditional air cooling has notable limitations in modern, densely packed datacenters, consuming significant power and lacking the efficiency of liquid cooling. By leveraging the superior thermal conductivity of liquids, liquid cooling dissipates heat far more effectively, ensuring optimal performance and energy efficiency.
- [Hammerspace Storage Solutions](https://sourcecode.com/hammerspace-storage-solutions/): Hammerspace is designed for organizations of all sizes that need to efficiently manage large volumes of unstructured data. Its Global Data Platform consolidates data into a single parallel global file system and delivers high-performance access to unstructured data from any location, any cloud, and any storage.
- [Networking Solutions](https://sourcecode.com/networking-solutions/): In today's hyper-connected world, reliable networking is essential for effective communication, data sharing, and overall operational efficiency.
- [VAST Data Platform Solutions](https://sourcecode.com/vast-data-platform-solutions/): The VAST Data Platform is a comprehensive software infrastructure for capturing, cataloging, refining, enriching, and preserving data, while enabling real-time deep data analysis and deep learning on unstructured data from anywhere, at any scale.
- [Weka Storage Solutions](https://sourcecode.com/weka-storage-solutions/): WEKA offers unparalleled speed and flexibility for demanding applications such as AI, GPU acceleration, and High Performance Computing (HPC). It can handle tens of millions or even billions of files of all data types and data sizes and can be deployed anywhere–hyperscale cloud, GPU cloud, on-prem, at the edge.
- [Lustre RA High Performance Storage Solution](https://sourcecode.com/lustre-ra-high-performance-storage-solution/): Lustre is an open source, high-performance parallel file system widely used in HPC environments to manage large-scale storage and I/O operations efficiently. It is primarily designed as a high-speed storage solution to ensure quick file access, preventing file access from becoming a bottleneck in HPC compute jobs.
- [Home Updated](https://sourcecode.com/): Hands-on Experience Co-Designing Digital Infrastructure for Leading Edge Applications
- [Blog](https://sourcecode.com/blog/)
- [EEO/ADA Statements](https://sourcecode.com/eeo-and-ada-statements/): For more information on the processing of personal data by SourceCode please refer to the SourceCode Privacy Statement. You can always withdraw or modify your consent to receive marketing and sales communication from SourceCode . This can be done by using the opt-out and preference mechanism at the bottom of our email marketing communication.
- [Careers](https://sourcecode.com/careers/): At SourceCode, we’re a catalyst for innovation and a trusted partner in our customers’ success. We offer a dynamic and collaborative work environment that thrives on tackling challenges and embracing leading-edge technologies. When you join our team, you’ll gain access to diverse career opportunities, meaningful work, and a competitive benefits package designed to support your personal and professional growth.
- [Trade Agreements Act](https://sourcecode.com/trade-agreements-act/): TAA refers to the Trade Agreements Act (19 U.S.C. & 2501-2581).
- [Supplier Terms & Conditions](https://sourcecode.com/company/suppliers/): Our suppliers are a critical component of the business value stream in satisfying the end customer. It is our goal to engage suppliers that provide value by providing top quality product and services, on time and to a competitive market price. Supplier Terms and Conditions
- [SourceCode™ Expands Global AI Presence with Acquisition of Boston Limited](https://sourcecode.com/sourcecode-expands-global/): SourceCode a Cerberus Company also Announces New Board Appointments for the New Era of Co-Designed AI-Enabled Infrastructure
- [Company](https://sourcecode.com/company/)
- [Industries](https://sourcecode.com/industries/)
- [Products](https://sourcecode.com/products/)
- [Edge Computing](https://sourcecode.com/edge-computing/): Source Code has become a leading provider of highly reliable mobile and embedded computer and display solutions for mission-critical applications around the world. The expert team of engineers have decades of experience designing and building devices that manage to achieve the low energy consumption, high speed, reliability, adaptability, and environmental resilience necessary to this type of computing.
- [Trademarks](https://sourcecode.com/trademarks/): Source Code and the Source Code logo are trademarks of Source Code LLC or its subsidiaries.
- [Terms of Use](https://sourcecode.com/terms-of-use/): Please read these Terms of Use ("Terms") carefully before using this site. By accessing and using the Source Code LLC ("Source Code") Web Sites and Materials, you acknowledge and agree to abide by the following Terms of Use. If you do not agree to these Terms, do not use the Source Code Web Sites or download any Materials.
- [Cookie Policy](https://sourcecode.com/cookie-policy/): Our Website uses cookies to distinguish you from other users of our Website and to provide you with access to content. This helps us provide you with a good experience when you browse our Website and also allows us to improve our site.
- [Privacy Policy](https://sourcecode.com/privacy-policy/): Effective Date: April 26, 2024
- [Home](https://sourcecode.com/home/): Source Code helps clients worldwide address today's most complex business and computing problems and prepare for the future through its unique, edge-to-datacenter-to-cloud infrastructure expertise. The company focuses on delivering customized computing solutions for high-performance computing (HPC), artificial intelligence (AI), big data storage, and the Internet of Things (IoT), among other technical use cases, and offers solutions for both datacenter and edge environments...
- [Argos Ruggedized Edge System](https://sourcecode.com/products/edge/argos-ruggedized-edge-system/): The SourceCode™ Argos System's GPU-accelerated design addresses all the requirements of AI inference workloads at the edge. Unlike traditional servers, Argos is engineered to operate in the field, on limited power, in a broad temperature range, while resisting dust and moisture.

## Events
- [GEOINT Symposium 2025](https://sourcecode.com/event/geoint-symposium-2025/): Explore the intersection of technology and security as we address the challenges and opportunities in today’s complex geopolitical landscape. From land to sea, and from cyberspace to outer space, GEOINT’s impact is felt across every dimension and domain. Engage with industry experts, government leaders, and innovators to discover how geospatial intelligence is shaping a safer world for tomorrow.
- [NVIDIA GTC 2024](https://sourcecode.com/event/nvidia-gtc-2024/): NVIDIA GTC is the developer conference for the era of AI. It’s where developers, researchers, creators, IT decision makers, and business leaders come together to learn how to shape our world with the power of AI, computer graphics, data science, and more.
- [Supercomputing 24](https://sourcecode.com/event/supercomputing-24/): Supercomputing is the international conference for high performance computing, networking, storage, and analysis. Being part of the SC Conference enhances your career – whether you are presenting new research, showcasing innovative work or practices, helping teach the next generation, or competing for peak performance. The SC selection process is highly competitive and being selected is extremely rewarding. Our world is changing rapidly. Complex challenges are suddenly arising alongside an urgent demand for answers. Leveraging HPC, skilled minds employ innovative technologies to respond to the call — driven by data, simulating possibilities, and unlocking new solutions. By harnessing the power of HPC, the Supercomputing community is unleashing a deeper understanding of our world at an unprecedented pace.

## Categories
- [Blog](https://sourcecode.com/category/blog/)