JetStream
Throughput and memory optimized engine for LLM inference on XLA devices.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is JetStream?
JetStream is a throughput and memory-optimized engine designed for Large Language Model (LLM) inference, specifically targeting XLA devices like TPUs. It aims to enhance performance by optimizing resource usage, making it ideal for high-throughput scenarios.
Key differentiator
“JetStream stands out as an open-source, high-throughput engine optimized for TPU devices, offering efficient memory usage and performance tuning.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
Documentation and examples are heavily focused on TPU usage, with no official GPU support yet.
Setup requires detailed configuration of XLA devices which can be challenging without deep knowledge of hardware and software stack.
The official documentation lacks comprehensive guides on optimizing performance beyond basic setups, leaving users to infer details from source code or community forums.
JetStream's optimizations are specifically tailored for XLA devices and may not yield the same performance benefits on other types of hardware without significant customization.
Fit analysis
Who is it for?
✓ Best for
Teams working on high-throughput applications that require efficient use of TPUs.
Projects focused on optimizing memory and throughput in LLM inference tasks.
✕ Not a fit for
Applications requiring real-time streaming capabilities (batch-only architecture).
Scenarios where GPU support is a must-have feature at present.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Works well with
Integrations
Next step
Get Started with JetStream
Step-by-step setup guide with code examples and common gotchas.