AI demand changes every quarter. Neoclouds and cloud service providers need the ability to scale memory and GPU-as-a-Service (GPUaaS) offerings to deliver inference services and KV Cache offload as differentiated services that accelerate time-to-revenue. Liqid memory and GPU pooling creates an elastic service platform you can re-shape in seconds depending on customer demand and workload.
Request a Federal AI Infrastructure DemoTalk to a Federal Infrastructure SpecialistThe primary challenge Neoclouds and CSPs face: land AI workloads faster than the next provider, at a margin that survives hyperscaler price pressure.
Neoclouds and CSPs must also navigate changing workloads. Training has given way to fine-tuning, RAG, and inference, including KV cache, quantization, batching, andoffload.
CapEx is planned in multi-year cycles, but AI requirements change quarterly. Overprovisioning means stranded capital, but underprovisioning creates latency and performance challenges that limit the ability to compete.
Between a service idea and a priced, shippable offer, every step removes options. Fixed SKUs, limited space, and power caps shorten the funnel before margin-rich offers reach the market and customers.
A busy node still hides stranded GPUs, memory, and CPU inside the same chassis. Utilization looks healthy on paper while paid-for capacity sits idle, quietly eroding gross margin.
Inference at scale is memory-bound, not compute-bound. The KV cache for a single 70B modelin production can eat 80+ GB of HBM per concurrent stream, every GB spent on cache is a GB you can’t sell to another user.
GPU utilization is an allocation problem, not a scheduling problem. Accelerators are bolted to a chassis at purchase and stay there for a five-year refresh cycle, every GPU stranded in the wrong box is a GPU you can't sell to the next tenant.
LIQID enables enterprises to dynamically pool and scale memory across servers, eliminating bottlenecks while improving throughput, efficiency, and overall database performance.
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Technology Preview - Composable Memory via CXL.
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A software defined approach to server deployment and management
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See how Liqid can help your team pool GPU and memory resources, increase utilization, and deploy secure on-prem AI, HPC and, other data-intensive workloads with the infrastructure ecosystem you already trust.