inaccel
InAccel is a product for you to build, ship and run FPGA accelerated applications
Funding Links: https://github.com/sponsors/inaccel
- Name: InAccel
- Location: United States of America
- Kind: organization
- Followers: 26
- Following: 0
- Total stars: 134
- Repositories count: 59
- Created at: 2023-02-17T16:30:08.521Z
- Updated at: 2025-05-20T01:42:01.560Z
- Last synced at: 2025-05-20T01:42:01.560Z
GitHub Sponsors Profile
What is InAccel Studio?
InAccel Studio is a hosted Jupyter notebook service that requires no setup to use, while providing access to computing resources including FPGAs. It allows anybody to write and execute FPGA accelerated code through the browser, and is especially well suited to machine learning, data analysis and education.
Is it really free to use?
Yes. InAccel Studio is free to use.
What are the limitations?
InAccel Studio resources are not guaranteed and not unlimited. This is necessary for InAccel to be able to provide FPGA resources for free.
In order to be able to offer computational resources for free, InAccel needs your support to maintain the flexibility to adjust FPGA availability on the fly.
- Current Sponsors: 0
- Past Sponsors: 0
- Total Sponsors: 0
- Minimum Sponsorship: $10.00
Featured Works
inaccel/coral-api
Enterprise-Grade Accelerator Orchestration
Language: C - Stars:inaccel/keras
Deep Learning for humans
Language: Python - Stars: 3inaccel/gzip-zlib
Support for gzip files - Compression compatible with gzip
Language: Python - Stars:inaccel/openssl
TLS/SSL and crypto library
Language: C - Stars:inaccel/scikit-learn
Machine Learning in Python
Language: Python - Stars: 1inaccel/tf-quant-finance
High-performance TensorFlow library for quantitative finance.
Language: Python - Stars: 5