Liqid的动态

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: 1?? 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. 2?? 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. 3?? 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