TurboQuant
Revolutionary KV cache compression achieving 6x memory reduction and 8x speedup for LLM inference with zero accuracy loss.
What is TurboQuant?
TurboQuant is a breakthrough LLM optimization technique that solves the KV cache memory bottleneck through innovative PolarQuant compression and QJL (Quantize-Just-in-time with Lossless-decompression) algorithm. Released March 2026, it achieves 6x memory reduction while maintaining 100% accuracy, enabling 8x faster inference and 70% cost reduction. Works with any transformer-based model and enables deployment on previously inadequate hardware.
Best for: Memory-constrained deployments · Long-context applications · Cost optimization
Developer Stack Fit
Quick read on where TurboQuant fits in a software team's AI stack. Validate final fit against your codebase, data policy, and deployment model.
- Stack layer
- LLM APIs
- Deployment model
- Open-source deployable
- Open-source status
- Yes or source-available
- API support
- API or integration-friendly
- MCP support
- No MCP signal found
- Security posture
- Review vendor privacy and data retention
- Best use case
- Memory-constrained deployments
Key Features
- 01
6x KV cache memory reduction
6x memory reduction
- 02
8x inference speedup
8x faster inference
- 03
Zero accuracy loss (proven)
Zero accuracy degradation
- 04
PolarQuant compression algorithm
A core development capability that teams use daily.
- 05
QJL just-in-time quantization
A core development capability that teams use daily.
- 06
Model-agnostic (any transformer)
A core development capability that teams use daily.
- 07
Easy Python integration
A core development capability that teams use daily.
- 08
vLLM and LangChain support
A core development capability that teams use daily.
- 09
Consumer GPU compatibility
A core development capability that teams use daily.
- 10
Enterprise-ready performance
A core development capability that teams use daily.
Pros & Cons
What stands out
- Massive efficiency gains
- No quality tradeoff
- Easy to implement
- Works with existing models
- Free and open source
Watch outs
- Adds slight overhead to token insertion
- Requires CUDA-capable GPU
- Still maturing ecosystem
- Optimal settings vary by model
Pricing Plans
TurboQuant Pricing
Choose the perfect plan for your needs. All plans include our core features with different usage limits and advanced capabilities.
Open Source
Need a Custom Solution?
Looking for enterprise features or custom pricing? Contact TurboQuant directly for tailored solutions.
Contact SalesMost teams land on the Open Source plan.
Alternatives
FAQ
What is TurboQuant and how does it work?
TurboQuant is a development tool that revolutionary kv cache compression achieving 6x memory reduction and 8x speedup for llm inference with zero accuracy loss.. It uses AI to help users improve productivity through analyzing input and generating relevant output.
Is TurboQuant free to use?
TurboQuant offers a completely free plan. You can get started without paying anything.
Is there a free plan or trial?
TurboQuant doesn't offer a traditional free trial, but provides a money-back guarantee on paid plans.
What can TurboQuant do?
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TurboQuant
Free