Liqid

Let's SKO! This week, the Liqid sales, marketing, product, engineering, and leadership teams gathered to learn, share, align, and set the stage for our best year ever. A few key takeaways: ✅ A renewed focus on focus...focus on key verticals where we have repeatedly demonstrated the value of software-defined composable infrastructure (higher education, financial services, government, media & entertainment, and service providers offering GPU-as-a-Service) ✅ Strategies to accelerate growth in the AI Inference infrastructure market, GPU pooling and sharing, CXL memory, HPC, and VDI. ✅ The power of being present, teamwork, execution, and resilience. A massive thanks to our sales leaders, product experts, and special guest speakers for bringing their important perspectives and outside-in insights to the event. And, of course, to our sales team—the real drivers of our success—get ready to make 2025 our best year yet! #SalesKickoff #SKO2025 #Liqid #composableinfrastructure

Everyone knows the impact of DeepSeek was felt far and wide across financial markets. However, the DeepSeek effect and rapid advancements that new models will have on IT infrastructure are only beginning. What we once thought was a performance-only race has evolved to demand not only compute and memory but ultimately more flexibility. So that means: 1️⃣ GPUs alone won’t cut it – While GPUs have been the go-to for AI workloads, scaling efficiently now requires a more composable approach to infrastructure. Dynamically pooling, sharing, and reallocating GPUs, CPUs, and memory is becoming essential. 2️⃣ The memory wall and bottlenecks are real – LLMs are memory-hungry. Traditional infrastructure often struggles to provide the bandwidth needed to avoid slowdowns. High-speed interconnects and real-time composability will be key. 3️⃣ Sustainability continues to be a concern – As energy consumption soars, enterprises must rethink power efficiency. Smarter workload orchestration and infrastructure optimization can help curb escalating operational costs. 🛠️ Composable infrastructure uniquely allows IT teams to dynamically allocate resources based on workload needs—without overprovisioning. This means more efficiency, enhanced AI engagement, and reduced costs, all while delivering maximum performance when needed. The question isn’t if infrastructure needs to evolve—it’s how fast organizations can adapt. How is your team preparing for the next wave of models in the post-DeepSeek era and AI-driven workloads overall? If you want some guidance, check out the new Liqid blog linked in the first comment. www.liqid.com #composableinfrastructure #deepseek #AI #cdi

𝗡𝗩𝗜𝗗𝗜𝗔 𝗛𝗼𝗹𝗼𝘀𝗰𝗮𝗻: 𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗔𝗜 𝗶𝗻 𝗩𝗶𝗱𝗲𝗼 & 𝗕𝗲𝘆𝗼𝗻𝗱 Liqid is now listed on 𝗡𝘃𝗶𝗱𝗶𝗮.𝗰𝗼𝗺 as a key Holoscan infrastructure partner. Nvidia's Holoscan is redefining real-time AI for video, imaging, and edge computing. To power these demanding workloads, NVIDIA has listed Liqid as a key infrastructure partner, enabling dynamic 𝗚𝗣𝗨 𝗮𝗻𝗱 𝗗𝗣𝗨 𝗖𝗼𝗺𝗽𝗼𝘀𝗮𝗯𝗶𝗹𝗶𝘁𝘆 for next-gen AI applications. Why Liqid for Holoscan? And what does this mean for the future of AI-driven video and edge computing? Drop a comment or DM us if you’d like to take a deeper dive! #AI #NVIDIA #Holoscan #Liqid #EdgeComputing NVIDIA Holoscan for Media application: https://lnkd.in/gh9qsTrB

Day 1 of AI Everything is in the books. If you thought you knew AI, TRUST US, we have barely scratched the surface. Every speaker emphasized that we are at the starting line of what’s possible. Discussions ranged from…💡DeepSeek (obviously) to small language models,👩💻open source, 🔌power consumption concerns, 🎥movie magic, 🧌monsters, 👾aliens, 🤖robots, 🧟♂️zombies, 🕵️agents, 😇ethics, 👑data sovereignty, the good 😁, the slightly scary 🫣, and so much more. And more robots 🤖 thanks to Kate Darling and Mr. Spaghetti 🦕. Of course, we were encouraged to hear a significant focus on AI inferencing. Attendee consensus agrees that we’re shifting from building to engaging with models both at a personal level and in business. Liqid is ready for this transition and we had a number of meaningful conversations about how our software-defined composable infrastructure for GPUs and memory is poised to help make AI inferencing perform blazing fast, while alleviating some of those other challenges such as power consumption that comes with traditional infrastructure deployments. Leading one of the conversations about AI infrastructure was our CEO Edgar Masri who posed the question about the future of AI infrastructure to His Excellency Omar Sultan AlOlama, the UAE’s Minister of State for Artificial Intelligence, Digital Economy, and Remote Work Applications. Liqid’s Chairman Ashish (Ash) Puri highlighted more on the DeepSeek effect and inferencing against more efficient models in his conversation with Anna Gressel. We’re looking forward to days two and three. More to come…literally! #liqid #AIinferencing #AI #AIeverything

Liqid is looking forward to the AI Everything Global event in Abu Dhabi and Dubai. The AI Everything Global Summit is happening at The St. Regis Saadiyat Island Resort, Abu Dhabi, on 4 February, followed by the expo on 5‒6 February at Expo City Dubai. 🎤 Our CEO, Edgar Masri, will be joining Ashish (Ash) Puri from Lightrock and Rhett Power from Forbes on the 10X stage at the expo on Wednesday, 5 Feb at 11:00am 🎤 Ash will also be offering his perspective on the DeepSeek AI effect on the Summit stage on Tuesday, 4 Feb at 2:10pm 🤝 As an invited AI50 start up, Liqid will be showcasing our software-defined composable infrastructure solutions that deliver flexible, high-performance, and efficient datacenter and edge solutions for AI inferencing in the enterprise, financial services, higher education and research, telco providers, government, and media & entertainment. Please reach out for meetings at the event and visit Liqid at the expo in Hall 3: Stand P57 (H3-P57). #composableinfrastucture #AIEverythingGlobal #liqid

Everyone knows that a picture is worth a thousand words. But, pictures showing successful installs of composable NVIDIA GPUs in a Liqid chassis up and running inside a happy customer's datacenter are absolutely priceless. Thank you to James Holdsworth for your continued partnership and vision for what software-defined composable infrastructure can achieve in bringing compute closer to the data for higher performance and efficiency. And as you said recently, “we’re just getting started!” www.liqid.com #composableinfrastructure #liqid #gpu

Fantastic to see Liqid, a Lightrock portfolio company, listed on the NVIDIA website as a key infrastructure partner. The partnership supports Nvidia’s application called Holoscan for Media, which allows broadcast, streaming, and live sports companies to run live video pipelines on the same type of infrastructure as AI applications. Holoscan (https://lnkd.in/e2PY3pfv) utilizes substantial GPUs, which is where Liqid Composable Infrastructure steps in, dynamically swapping GPUs without impacting the servers’ capacity. Check out the link in the comments below. Scroll down to Partner Ecosystem, Building the Future of Live Media, and click on the Infrastructure Partners tab. #GPUs #ComposableInfrastructure #DataCenters #NVIDIA #Liqid #Holoscan #FutureOfCompute

Software-defined composable GPUs AND Memory…it’s like peanut butter on jelly on AI Inferencing gold! Matching DRAM with GPUs for successful AI inferencing is table stakes. Software-defined composable infrastructure is no-so-secret sauce for the best match. 💨 Faster data access means less waiting and avoiding slowdowns: GPUs are built to process tons of information at once. If there isn’t enough memory or there isn’t enough memory bandwidth, the GPU has to wait, which slows everything down, affecting how quickly AI can make decisions. 🗻 Handling Big Data: Like we said, AI models are all about large amounts of data. If the memory can't load and store a LLM fast enough or process RAG, delays happen and the system (and the business) slows, which is especially problematic when time is critical, like in real-time AI applications. 📈 Fueling Growth: As AI systems get more advanced, they need more memory to keep up. Matching the memory properly ensures that as things get bigger, the system can handle it without slowing down. 💡Saving Power: Efficient memory usage also helps save energy, which is especially important in large AI setups where power costs can add up. Liqid’s vision for software-defined composable infrastructure matches CXL-composed memory with GPUs, while maintaining performance and adding unique flexibility to ensure that AI systems work as effectively as possible - making real-time decisions and handling large amounts of data without delays, which is essential for maximizing AI success. www.liqid.com #composableinfrastructure #liqid #cxl #aiinferencing #peanutbutteronjellyongold

𝗚𝗣𝗨 𝗦𝗵𝗶𝗽𝗺𝗲𝗻𝘁𝘀 𝘁𝗼 𝗗𝗮𝘁𝗮 𝗖𝗲𝗻𝘁𝗲𝗿𝘀 𝗔𝗿𝗲 𝗦𝗼𝗮𝗿𝗶𝗻𝗴!!  With shipments nearly 𝗱𝗼𝘂𝗯𝗹𝗶𝗻𝗴 in just a few years, GPUs are a driving enabler for innovation in AI, HPC, and on-prem, private cloud services. However, this explosive growth introduces challenges like higher costs, infrastructure complexity, and increased power consumption and cooling demands, especially when GPUs are locked inside a traditional server enclosure. Q: How will your organization take leverage GPU performance, while achieving agility and managing cost? Software-defined composable infrastructure offers a game-changing solution by delivering GPU Pooling and Sharing to enable: 🚀 𝗛𝗶𝗴𝗵𝗲𝗿 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 – Dynamically matching resources to workload demands. 💸 𝗥𝗲𝗱𝘂𝗰𝗲𝗱 𝗖𝗼𝘀𝘁𝘀 – Eliminating overprovisioning and optimizing energy use. ⚡ 𝗜𝗻𝗰𝗿𝗲𝗮𝘀𝗲𝗱 𝗔𝗴𝗶𝗹𝗶𝘁𝘆 – Enabling seamless scaling and rapid adaptation to evolving needs. As GPU adoption accelerates, software-defined composable infrastructure ensures data centers remain efficient, agile, and ready for the future. Stay flexible. Stay efficient. 𝗦𝘁𝗮𝘆 𝗰𝗼𝗺𝗽𝗼𝘀𝗮𝗯𝗹𝗲.

Rip and Replace is old news!!  With NVIDIA and AMD releasing new flagship GPUs every year, replacing entire servers just to upgrade GPUs is impractical. The solution? Liqid Composable Infrastructure.  It lets you dynamically swap and upgrade GPUs without touching the rest of the server. No more wasted hardware or downtime — just seamless GPU upgrades to keep up with the latest innovations. Stay flexible. Stay efficient. 𝗦𝘁𝗮𝘆 𝗰𝗼𝗺𝗽𝗼𝘀𝗮𝗯𝗹𝗲. Learn more: www.liqid.com #GPUs #ComposableInfrastructure #DataCenter #NVIDIA #AMD #FutureOfCompute