JetStream

What it is

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.

JetStream stands out as an open-source, high-throughput engine optimized for TPU devices, offering efficient memory usage and performance tuning.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited device support currently only for TPUs

   Documentation and examples are heavily focused on TPU usage, with no official GPU support yet.

2. 02

   Complex setup process for non-expert users

   Setup requires detailed configuration of XLA devices which can be challenging without deep knowledge of hardware and software stack.

3. 03

   Poor documentation for advanced use cases

   The official documentation lacks comprehensive guides on optimizing performance beyond basic setups, leaving users to infer details from source code or community forums.

4. 04

   Performance degradation with non-XLA compatible hardware

   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.

What it does well

• 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.

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.