Shatter the boundaries of
high performance compute
Maximize your GPU performance with the infrastructure that your workloads deserve
Native Integration with
vLLM
SGLang
Spark
Flink
Ray
Use OpenLake where storage bottlenecks GPUs.
One platform, infinite possibilities, built for a plethora of use cases.
Save costs across the stack
Works across your entire data and AI stack, propagating cost savings up the stack with no code changes.
Faster inference. Saturate every GPU.
Higher throughput and GPU memory efficiency. Offload the KV cache to OpenLake and reuse it across requests instead of recomputing blocks.
OPENLAKE CONSOLE / SERVINGKV Cache Offload
PROD-US-EAST-1CACHED TOKENS31.8Macross 8 models
RESIDENT82%GPU + local NVMe
SERVING NODES128all connected
CACHE KEYMODELTOKENSSIZERESIDENCYLAST HIT
prefix/7f3a91Llama-3.1-70B18.2k42.8 GBGPU + NVMe12 ms
prefix/49bca0Llama-3.1-70B11.4k26.7 GBGPU + NVMe38 ms
session/a84e2dQwen2.5-72B8.1k19.1 GBNVMe1.2 s
prefix/c2180fMixtral-8x22B6.6k15.5 GBNVMe4.8 s
SELECTEDprefix/7f3a91
REUSED BY42 requests
WORKERSgpu-07 → gpu-18
Inspect, pin and reuse cache entries across workers.
RDMA · GPUDIRECT
Peer NIC to GPU VRAM.
Data moves straight into GPU VRAM with no memcpy in the kernel or on the NIC.
IO_URING · PINNED
One runtime per core.
A thread per core pinned architecture. Each request stays on one core to avoid cache line miss and context switches.
S3 · GPU DECOMPRESSION
Fast path, familiar API.
Keep S3 compatible workflows while moving compressed data closer to the CUDA kernels that consume it.
Start your Data + AI Journey
Deploy with OpenLake today to set up reliable, high-performance data infrastructure. Schedule a call for an ROI analysis.
Schedule a call
Get to know OpenLake
Expand all
What is OpenLake?
Is OpenLake S3 compatible? Will my existing tools work without changes?
Do I need RDMA, GPUDirect, or special NICs?
How does OpenLake keep data durable and secure?
Is OpenLake free and open source? What is the license?
How does OpenLake scale?