OpenLake
A distributed storage engine for GPU workloads, written in Rust on io_uring. OpenLake offloads LLM KV cache to host RAM and disk across your GPU fleet so prefill work is reused instead of recomputed, cutting inference cost and time to first token.
✅ Pros / Advantages
- • Genuinely reduces inference cost by reusing prefill
- • Drop-in vLLM integration with no code changes
- • Covers checkpoints, vectors, and training I/O too
- • Rust on io_uring for real performance
- • Apache-2.0
- • Active development
❌ Cons / Limitations
- • Only relevant if you self-host inference or training
- • Needs Rust 1.91+ to build and RDMA config for multi-host
- • Benchmarks are vendor-published
- • Young project with a large open-issue count relative to its age
💰 Pricing Plans
Free (Open Source) — managed cloud available
Pricing details are gathered from public sources and are subject to change. Please visit the official website for real-time rates.
Last updated: July 2026 · 9bests editorial review
✅ Who should use OpenLake
- • Genuinely reduces inference cost by reusing prefill
- • Drop-in vLLM integration with no code changes
- • Covers checkpoints, vectors, and training I/O too
- • Rust on io_uring for real performance
- • Apache-2.0
- • Active development
⚠️ Who should look elsewhere
- • Only relevant if you self-host inference or training
- • Needs Rust 1.91+ to build and RDMA config for multi-host
- • Benchmarks are vendor-published
- • Young project with a large open-issue count relative to its age
🎯 Common use cases
Token and spend tracking
Caching and routing LLM calls
Cost alerts and budgeting
⚖️ OpenLake vs SemanticGuard
| OpenLake | SemanticGuard | |
|---|---|---|
| Rating | 4.3/5 | 3.8/5 |
| Pricing | Free (Open Source) — managed cloud available | From $49/mo |
| Key strength | Genuinely reduces inference cost by reusing prefill | Measurable cost reduction (35-45%) |
See the full head-to-head in our OpenLake vs SemanticGuard comparison.
❓ Frequently asked questions
Is OpenLake free?
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OpenLake offers a free tier (Free (Open Source) — managed cloud available). Paid plans unlock higher limits and advanced features.
What is OpenLake best for?
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OpenLake is best for Genuinely reduces inference cost by reusing prefill and Drop-in vLLM integration with no code changes. A distributed storage engine for GPU workloads, written in Rust on io_uring. OpenLake offloads LLM KV cache to host RAM and disk across your GPU fleet so prefill work is reused instead of recomputed, cutting inference cost and time to first token.
How does OpenLake compare to SemanticGuard?
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OpenLake (4.3/5) and SemanticGuard (3.8/5) serve overlapping needs. OpenLake stands out for Genuinely reduces inference cost by reusing prefill, while SemanticGuard is stronger at Measurable cost reduction (35-45%). Choose based on your priority.
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