Update README.md
Browse files
README.md
CHANGED
|
@@ -1,10 +1,22 @@
|
|
| 1 |
---
|
| 2 |
title: README
|
| 3 |
-
emoji:
|
| 4 |
-
colorFrom:
|
| 5 |
-
colorTo:
|
| 6 |
sdk: static
|
| 7 |
pinned: false
|
|
|
|
| 8 |
---
|
| 9 |
|
| 10 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
title: README
|
| 3 |
+
emoji: 🚀
|
| 4 |
+
colorFrom: green
|
| 5 |
+
colorTo: indigo
|
| 6 |
sdk: static
|
| 7 |
pinned: false
|
| 8 |
+
short_description: Empower AI inference
|
| 9 |
---
|
| 10 |
|
| 11 |
+
<img width="35%" src="./kalray_logo.png"></a></br>
|
| 12 |
+
|
| 13 |
+
Kalray enables AI innovators to build novel AI applications, maximizing your compute processing with MPPA Coolidge 2 on TC4.
|
| 14 |
+
Kalray’s TURBOCARD4 Compute Acceleration Cards enable customers to accelerate AI workloads and complement CPUs and GPUs in
|
| 15 |
+
next-generation data centers. TURBOCARD4 (TC4) Compute Acceleration Cards offer a very complementary architecture to GPUs,
|
| 16 |
+
allowing for the processing of a large number of different operations in parallel in an asynchronous way. Kalray’s TC4 is
|
| 17 |
+
well-suited for pre-processing data that is later used by GPUs or in the context of complex intelligent systems running many
|
| 18 |
+
different algorithms in parallel. Details can be found here: [link](https://www.kalrayinc.com/products/dpu-processors/#turbocard4)
|
| 19 |
+
|
| 20 |
+
You should find on this page several of the models we support on our SDK, called Kalray Neural Networks (KaNN). Find out on our
|
| 21 |
+
github page the possibility to deploy and power your AI solutions over the Kalray's processor Coolidge 2.
|
| 22 |
+
https://github.com/kalray/kann-models-zoo
|