Update README.md
Browse files
README.md
CHANGED
@@ -11,12 +11,13 @@ short_description: Empower AI inference
|
|
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
|
15 |
-
|
16 |
-
|
17 |
-
|
18 |
-
different algorithms in parallel. Details can be found here: [link](https://www.kalrayinc.com/products/dpu-processors/#turbocard4)
|
19 |
|
20 |
-
|
21 |
-
|
|
|
|
|
22 |
https://github.com/kalray/kann-models-zoo
|
|
|
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 (TC4) Compute Acceleration Cards enable customers to accelerate AI workloads. Our compute Acceleration Cards
|
15 |
+
offer a very complementary architecture to GPUs, allowing for the processing of a large number of different operations in
|
16 |
+
parallel in an asynchronous way. TC4 is well-suited for pre-processing data that is later used by GPUs or in the context of
|
17 |
+
complex intelligent systems running many different algorithms in parallel.
|
|
|
18 |
|
19 |
+
Details can be found here: [link](https://www.kalrayinc.com/products/dpu-processors/#turbocard4)
|
20 |
+
|
21 |
+
You should find on this page several of the models that Kalray's SDK support, called Kalray Neural Networks (KaNN). Find out
|
22 |
+
on our github page the possibility to deploy and power your AI solutions over the Kalray's processor at
|
23 |
https://github.com/kalray/kann-models-zoo
|