Break Through the Memory Wall. Unleash Next-Level AI Inference.
Accelerate your AI applications and scale efficiently with Penguin Solutions’ big memory server appliances.
Deploy Abundant Memory to Unlock AI Performance
AI system performance for inference is fundamentally constrained by memory.
As the complexity of AI models increases and organizations deploy enterprise-scale inference, clusters face the "memory wall"—current limitations in memory capacity and bandwidth, which constrain GPU performance and drastically increase latency.
Penguin Solutions leverages 30 years of experience in advanced memory to solve this problem with breakthrough CXL-based memory servers that enable large pools of shared system memory. This disaggregation frees GPUs from current memory limitations to give each node what it needs, when it needs it, and provides new flexibility and efficiency to cluster architectures.
By deploying abundant, high-performance memory, you can maximize existing GPU investments and efficiently scale new AI infrastructure for enterprise-scale, production inference.
Create Pooled Memory for Shared System Use
Disaggregated memory is accessible to all nodes, enabling efficient resource utilization and supporting memory-intensive AI workloads.
Meet Latency SLAs for Inference
Delivers consistent, low-latency performance to support demanding real-time AI inference requirements.
Optimize Cluster Performance
Maximize throughput and scalability with balanced memory architecture and reduced compute bottlenecks.
Penguin Solutions MemoryAI™ KV Cache Server: Redefining AI Inference Speed and Scalability
Penguin Solutions’ patent-pending MemoryAI KV cache server (Altus® XE4318GT-KVC) is the industry’s first production-ready KV cache server leveraging CXL memory to deliver a high-capacity memory appliance purpose-built to address the memory wall and support high-performance inference at scale.
The MemoryAI KV cache server works by storing and reusing computed key/value (KV) pairs, offloading the KV cache from GPU memory. This solution eliminates memory constraints, reduces time-to-first-token (TTFT), and addresses re-compute challenges, enabling superior performance for demanding AI inference workloads.
Designed to expand local RAM accessible to GPUs, it alleviates memory bottlenecks and allows organizations to fully leverage existing GPU investments or design clusters optimized for high-throughput inference.
As models, context windows, and concurrency demands grow, the KV cache server is essential for enterprises looking to meet stringent latency and performance expectations in AI-driven environments.
Break Through Memory Barriers
Offload the KV cache to a dedicated, high-capacity CXL-based server, eliminating AI inference memory bottlenecks.
Accelerated AI Processing
Significantly reduce latency and boost throughput with intelligent KV cache reuse.
Scale Without Limits
Deploy with up to 11 TB of total memory, including an impressive 8 TB of advanced DDR5 CXL memory.
Unlock GPU Efficiency
Prevent compute idle time.
Talk to the CXL Experts at Penguin Solutions
Reach out today and learn more how we help you reach your AI & HPC infrastructure project goals. Our team designs, builds, deploys, and manages high-performance, high-availability enterprise solutions, empowering customers to achieve their breakthrough innovations.