JetStream

Throughput and memory optimized engine for LLM inference on XLA devices.

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Pricing

See website

Flat rate

Adoption

→Stable

License

Open Source

Data freshness

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Overview

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

Strength Radar

Optimized for hi…Initial support …Open-source unde…

Honest assessment

Strengths & Weaknesses

↑ Strengths

Optimized for high throughput and memory efficiency on XLA devices.

Initial support for TPUs with future plans for GPU support.

Open-source under Apache-2.0 license.

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

None

Starts at

See website

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Alternatives

TensorFlow Serving

Next step

Get Started with JetStream

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →