gemma.cpp VS xpk

Compare gemma.cpp vs xpk and see what are their differences.

gemma.cpp

lightweight, standalone C++ inference engine for Google's Gemma models. (by google)

xpk

xpk (Accelerated Processing Kit, pronounced x-p-k,) is a software tool to help Cloud developers to orchestrate training jobs on accelerators such as TPUs and GPUs on GKE. (by google)
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
gemma.cpp xpk
8 1
5,582 57
8.4% -
9.3 9.0
about 20 hours ago 1 day ago
C++ Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

gemma.cpp

Posts with mentions or reviews of gemma.cpp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-31.

xpk

Posts with mentions or reviews of xpk. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-21.
  • Gemma: New Open Models
    12 projects | news.ycombinator.com | 21 Feb 2024
    There is a lot of work to make the actual infrastructure and lower level management of lots and lots of GPUs/TPUs open as well - my team focuses on making the infrastructure bit at least a bit more approachable on GKE and Kubernetes.

    https://github.com/GoogleCloudPlatform/ai-on-gke/tree/main

    and

    https://github.com/google/xpk (a bit more focused on HPC, but includes AI)

    and

    https://github.com/stas00/ml-engineering (not associated with GKE, but describes training with SLURM)

    The actual training is still a bit of a small pool of very experienced people, but it's getting better. And every day serving models gets that much faster - you can often simply draft on Triton and TensorRT-LLM or vLLM and see significant wins month to month.

What are some alternatives?

When comparing gemma.cpp and xpk you can also consider the following projects:

llamafile - Distribute and run LLMs with a single file.

ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.

mud-pi - A simple MUD server in Python, for teaching purposes, which could be run on a Raspberry Pi

gemma_pytorch - The official PyTorch implementation of Google's Gemma models

gemma - Open weights LLM from Google DeepMind.

htmx - </> htmx - high power tools for HTML

plantuml - Generate diagrams from textual description

prql - PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement

lnav - Log file navigator

ibis - the portable Python dataframe library

lotion - An open-source Notion UI built with Vue 3

FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...