Support Matrix¶
These support matrices list the supported hardware and software requirements of Riva.
Riva Speech Skills 1.10.0 Beta¶
Server Hardware¶
The following table shows the supported hardware for Riva Speech Skills 1.10.0 Beta.
Hardware Compatibility |
|
---|---|
Operating System |
Riva server requires Linux x86_64. |
GPU Model |
Preferred Deployment Platforms: Note Riva is supported on any NVIDIA Volta™ or later GPU (NVIDIA Turing™ and NVIDIA Ampere GPU architecture) for development purposes. Care must be taken to not exceed the memory available when selecting models to deploy. 16+GB VRAM is recommended. |
Mic, Camera, and Headset |
Microphone:
Headphones:
|
GPU Memory |
|
Server Software¶
The following table shows the supported software for Riva Speech Skills 1.10.0 Beta.
Software Compatibility |
|
---|---|
Container |
|
MIG (Multi Instance GPU) |
Note For further information on Ampere and MIG, refer to Ampere Architecture In-Depth:. |
Docker |
Note For DGX users, refer to Preparing to use NVIDIA Containers. |
TAO Toolkit |
|
NeMo |
|
Helm |
|
NVIDIA Driver |
Note For earlier driver versions, refer to the NVIDIA Driver section in Deep Learning Frameworks Support Matrix. |
Skills Clients¶
Riva skills clients do not require a local GPU and have minimal hardware requirements. Refer to the gRPC API section for further details on creating client bindings in your programming language of choice. The Python API section describes the prebuilt Python bindings included in the Riva Quick Start package, which are also based on gRPC.
Riva Speech Skills 1.9.0 Beta¶
Server Hardware¶
The following table shows the supported hardware for Riva Speech Skills 1.9.0 Beta.
Hardware Compatibility |
|
---|---|
Operating System |
Riva server requires Linux x86_64. |
GPU Model |
Preferred Deployment Platforms: Note Riva is supported on any NVIDIA Volta™ or later GPU (NVIDIA Turing™ and NVIDIA Ampere GPU architecture) for development purposes. Care must be taken to not exceed the memory available when selecting models to deploy. 16+GB VRAM is recommended. |
Mic, Camera, and Headset |
Microphone:
Headphones:
|
GPU Memory |
|
Server Software¶
The following table shows the supported software for Riva Speech Skills 1.9.0 Beta.
Software Compatibility |
|
---|---|
Container |
|
MIG (Multi Instance GPU) |
Note For further information on Ampere and MIG, refer to Ampere Architecture In-Depth:. |
Docker |
Note For DGX users, refer to Preparing to use NVIDIA Containers. |
TAO Toolkit |
|
NeMo |
|
Helm |
|
NVIDIA Driver |
Note For earlier driver versions, refer to the NVIDIA Driver section in Deep Learning Frameworks Support Matrix. |
Skills Clients¶
Riva skills clients do not require a local GPU and have minimal hardware requirements. Refer to the gRPC API section for further details on creating client bindings in your programming language of choice. The Python API section describes the prebuilt Python bindings included in the Riva Quickstart package, which are also based on gRPC.
Riva Speech Skills 1.8.0 Beta¶
Server Hardware¶
The following table shows the supported hardware for Riva Speech Skills 1.8.0 Beta.
Hardware Compatibility |
|
---|---|
Operating System |
Riva server requires Linux x86_64. |
GPU Model |
Preferred Deployment Platforms: Note Riva is supported on any Volta or later NVIDIA GPU (Volta, Turing, and NVIDIA Ampere GPU architecture) for development purposes. Care must be taken to not exceed the memory available when selecting models to deploy. 16+GB VRAM is recommended. |
Mic, Camera, and Headset |
Microphone:
Headphones:
|
GPU Memory |
|
Server Software¶
The following table shows the supported software for Riva Speech Skills 1.8.0 Beta.
Software Compatibility |
|
---|---|
Container |
|
MIG (Multi Instance GPU) |
Note For further information on Ampere and MIG, refer to Ampere Architecture In-Depth:. |
Docker |
Note For DGX users, refer to Preparing to use NVIDIA Containers. |
NVIDIA TAO Toolkit |
|
NVIDIA NeMo |
|
Helm |
|
NVIDIA Driver |
Note For earlier driver versions, refer to the NVIDIA Driver section in Deep Learning Frameworks Support Matrix. |
Skills Clients¶
Riva skills clients do not require a local GPU and have minimal hardware requirements. Refer to the gRPC API section for further details on creating client bindings in your programming language of choice. The Python API section describes the prebuilt Python bindings included in the Riva Quickstart package, which are also based on gRPC.
Riva Speech Skills 1.7.0 Beta¶
Server Hardware¶
The following table shows the supported hardware for Riva Speech Skills 1.7.0 Beta.
Hardware Compatibility |
|
---|---|
Operating System |
Riva server requires Linux x86_64. |
GPU Model |
Preferred Deployment Platforms: Note Riva is supported on any Volta or later NVIDIA GPU (Volta, Turing, and NVIDIA Ampere GPU architecture) for development purposes. Care must be taken to not exceed the memory available when selecting models to deploy. 16+GB VRAM is recommended. |
Mic, Camera, and Headset |
Microphone:
Headphones:
|
GPU Memory |
|
Server Software¶
The following table shows the supported software for Riva Speech Skills 1.7.0 Beta.
Software Compatibility |
|
---|---|
Container |
|
MiG (Multi Instance GPU) |
Note For further information on Ampere and MiG, see Ampere Architecture In-Depth:. |
Docker |
Note For DGX users, see Preparing to use NVIDIA Containers. |
TAO |
|
Nemo |
|
Helm |
|
NVIDIA Driver |
Note For earlier driver versions, refer to the NVIDIA Driver section in Deep Learning Frameworks Support Matrix. |
Skills Clients¶
Riva skills clients do not require a local GPU and have minimal hardware requirements. See the gRPC API section for further details on creating client bindings in your programming language of choice. The Python API section describes the prebuilt Python bindings included in the Riva Quickstart package, which are also based on gRPC.
Riva Speech Skills 1.6.0 Beta¶
Server Hardware¶
The following table shows the supported hardware for Riva Speech Skills 1.6.0 Beta.
Hardware Compatibility |
|
---|---|
Operating System |
Riva server requires Linux x86_64. |
GPU Model |
Preferred Deployment Platforms: Note Riva is supported on any Volta or later NVIDIA GPU (Volta, Turing, and NVIDIA Ampere GPU architecture) for development purposes. Care must be taken to not exceed the memory available when selecting models to deploy. 16+GB VRAM is recommended. |
Mic, Camera, and Headset |
Microphone:
Headphones:
|
GPU Memory |
|
Server Software¶
The following table shows the supported software for Riva Speech Skills 1.6.0 Beta.
Software Compatibility |
|
---|---|
Container |
|
Docker |
Note For DGX users, see Preparing to use NVIDIA Containers. |
Helm |
|
NVIDIA Driver |
Note For earlier driver versions, refer to the NVIDIA Driver section in Deep Learning Frameworks Support Matrix. |
Skills Clients¶
Riva skills clients do not require a local GPU and have minimal hardware requirements. See the gRPC API section for further details on creating client bindings in your programming language of choice. The Python API section describes the prebuilt Python bindings included in the Riva Quickstart package, which are also based on gRPC.
Riva Speech Skills 1.5.0 Beta¶
Server Hardware¶
The following table shows the supported hardware for Riva Speech Skills 1.5.0 Beta.
Hardware Compatibility |
|
---|---|
Operating System |
Riva server requires Linux x86_64. |
GPU Model |
Preferred Deployment Platforms: Note Riva is supported on any Volta or later NVIDIA GPU (Volta, Turing, and NVIDIA Ampere GPU architecture) for development purposes. Care must be taken to not exceed the memory available when selecting models to deploy. 16+GB VRAM is recommended. |
Mic, Camera, and Headset |
Microphone:
Headphones:
|
GPU Memory |
|
Server Software¶
The following table shows the supported software for Riva Speech Skills 1.5.0 Beta.
Software Compatibility |
|
---|---|
Container |
|
Docker |
Note For DGX users, see Preparing to use NVIDIA Containers. |
Helm |
|
NVIDIA Driver |
Note For earlier driver versions, refer to the NVIDIA Driver section in Deep Learning Frameworks Support Matrix. |
Skills Clients¶
Riva skills clients do not require a local GPU and have minimal hardware requirements. See the gRPC API section for further details on creating client bindings in your programming language of choice. The Python API section describes the prebuilt Python bindings included in the Riva Quickstart package, which are also based on gRPC.
Riva Speech Skills 1.4.0 Beta¶
Server Hardware¶
The following table shows the supported hardware for Riva Speech Skills 1.4.0 Beta.
Hardware Compatibility |
|
---|---|
Operating System |
Riva server requires Linux x86_64. |
GPU Model |
Preferred Deployment Platforms: Note Riva is supported on any Volta or later NVIDIA GPU (Volta, Turing, and NVIDIA Ampere GPU architecture) for development purposes. Care must be taken to not exceed the memory available when selecting models to deploy. 16+GB VRAM is recommended. |
Mic, Camera, and Headset |
Microphone:
Headphones:
|
GPU Memory |
|
Server Software¶
The following table shows the supported software for Riva Speech Skills 1.4.0 Beta.
Software Compatibility |
|
---|---|
Container |
|
Docker |
Note For DGX users, see Preparing to use NVIDIA Containers. |
Helm |
|
NVIDIA Driver |
Note For earlier driver versions, refer to the NVIDIA Driver section in Deep Learning Frameworks Support Matrix. |
Skills Clients¶
Riva skills clients do not require a local GPU and have minimal hardware requirements. See the gRPC API section for further details on creating client bindings in your programming language of choice. The Python API section describes the prebuilt Python bindings included in the Riva Quickstart package, which are also based on gRPC.
Jarvis Speech Skills 1.3.0 Beta
Hardware¶
The following table shows the supported hardware for Jarvis Speech Skills 1.3.0 Beta.
Hardware Compatibility |
|
---|---|
Operating System |
Jarvis server requires Linux x86_64. |
GPU Model |
Preferred Deployment Platforms: Note Jarvis is supported on any Volta or later NVIDIA GPU (Volta, Turing, and NVIDIA Ampere GPU architecture) for development purposes. Care must be taken to not exceed the memory available when selecting models to deploy. 16+GB VRAM is recommended. |
Mic, Camera, and Headset |
Microphone:
Headphones:
|
GPU Memory |
|
Software¶
The following table shows the supported software for Jarvis Speech Skills 1.3.0 Beta.
Software Compatibility |
|
---|---|
Container |
|
Docker |
Note For DGX users, see Preparing to use NVIDIA Containers. |
Helm |
|
NVIDIA Driver |
Note For earlier driver versions, refer to the NVIDIA Driver section in Deep Learning Frameworks Support Matrix. |
Jarvis Speech Skills 1.2.x Beta
Hardware¶
The following table shows the supported hardware for Jarvis Speech Skills 1.2.0 Beta.
Hardware Compatibility |
|
---|---|
Operating System |
Jarvis server requires Linux x86_64. |
GPU Model |
Preferred Deployment Platforms: Note Jarvis is supported on any Volta or later NVIDIA GPU (Volta, Turing, and NVIDIA Ampere GPU architecture) for development purposes. Care must be taken to not exceed the memory available when selecting models to deploy. |
Mic, Camera, and Headset |
Microphone:
Headphones:
|
GPU Memory |
|
Software¶
The following table shows the supported software for Jarvis Speech Skills 1.2.0 Beta.
Software Compatibility |
|
---|---|
Container |
|
Docker |
Note For DGX users, see Preparing to use NVIDIA Containers. |
Helm |
|
NVIDIA Driver |
Note For earlier driver versions, refer to the NVIDIA Driver section in Deep Learning Frameworks Support Matrix. |
Jarvis Speech Skills 1.1.0 Beta
Hardware¶
The following table shows the supported hardware for Jarvis Speech Skills 1.1.0 Beta.
Hardware Compatibility |
|
---|---|
Operating System |
Jarvis server requires Linux x86_64. |
GPU Model |
Preferred Deployment Platforms: Note Jarvis is supported on any Volta or later NVIDIA GPU (Volta, Turing, and NVIDIA Ampere GPU architecture) for development purposes. Care must be taken to not exceed the memory available when selecting models to deploy. |
Mic, Camera, and Headset |
Microphone:
Headphones:
|
GPU Memory |
|
Software¶
The following table shows the supported software for Jarvis Speech Skills 1.1.0 Beta.
Software Compatibility |
|
---|---|
CUDA |
|
Docker |
Note For DGX users, see Preparing to use NVIDIA Containers. |
Helm |
|
NVIDIA Driver |
Note For earlier driver versions, refer to the NVIDIA Driver section in Deep Learning Frameworks Support Matrix. |
Jarvis Speech Skills 1.0.x Beta
Hardware¶
The following table shows the supported hardware for Jarvis Speech Skills 1.0.0 Beta.
Hardware Compatibility |
|
---|---|
Operating System |
Jarvis server requires Linux x86_64. |
GPU Model |
Preferred Deployment Platforms: Note Jarvis is supported on any Volta or later NVIDIA GPU (Volta, Turing, and NVIDIA Ampere GPU architecture) for development purposes. Care must be taken to not exceed the memory available when selecting models to deploy. |
Mic, Camera, and Headset |
Microphone:
Headphones:
|
GPU Memory |
|
Software¶
The following table shows the supported software for Jarvis Speech Skills 1.0.0 Beta.
Software Compatibility |
|
---|---|
CUDA |
|
Docker |
Note For DGX users, see Preparing to use NVIDIA Containers. |
Helm |
|
NVIDIA Driver |
Note For earlier driver versions, refer to the NVIDIA Driver section in Deep Learning Frameworks Support Matrix. |