NVIDIA A10 Tensor Core GPU 24GB GDDR6
The NVIDIA A10 Tensor Core GPU is a professional data-center accelerator based on the NVIDIA Ampere architecture, designed for accelerated graphics, professional visualization, AI, rendering, video processing, virtual desktop infrastructure (VDI), and enterprise computing.
Featuring 24GB of GDDR6 memory, 600GB/s memory bandwidth, 72 RT Cores, third-generation Tensor Cores, PCIe Gen4 connectivity, and a highly efficient 150W single-slot FHFL design, the A10 delivers enterprise-class graphics and compute acceleration in a compact server form factor.
The A10 is particularly well suited for NVIDIA RTX Virtual Workstation (vWS), virtual desktops, remote collaboration, 3D visualization, rendering, AI-accelerated applications, and mainstream enterprise GPU computing.
Description
The NVIDIA A10 Tensor Core GPU is an enterprise-class accelerator designed to combine professional graphics capabilities with AI and GPU computing in mainstream data-center servers.
Built on the NVIDIA Ampere architecture, the A10 integrates third-generation Tensor Cores, second-generation RT Cores, and NVIDIA Streaming Multiprocessors to accelerate a wide variety of graphics, visualization, rendering, AI, and compute workloads. NVIDIA specifically positions the A10 for designers, engineers, artists, scientists, and enterprise users requiring remotely accessible GPU-accelerated applications.
The A10 includes 24GB of GDDR6 memory connected through a 384-bit memory interface, providing up to 600GB/s of memory bandwidth. This high-bandwidth memory subsystem is suitable for professional 3D visualization, engineering applications, rendering, data science, AI inference, and other GPU-memory-intensive workloads.
For general-purpose GPU computing, the A10 delivers up to 31.2 TFLOPS FP32 performance. Its Tensor Cores provide 62.5 TFLOPS TF32, 125 TFLOPS FP16/BFLOAT16, 250 TOPS INT8, and 500 TOPS INT4 performance, with NVIDIA’s higher published figures applying when supported structured sparsity is used.
The A10 also includes 72 RT Cores, providing hardware acceleration for ray tracing and professional visualization workloads. This makes the accelerator particularly suitable for realistic rendering, CAD/CAE visualization, digital content creation, and graphics-rich virtual workstations.
For multimedia workloads, the A10 provides one NVENC encoder and two NVDEC decoders, with support for AV1 decoding. This enables efficient video processing and remote visualization workloads, including streaming and graphics-rich virtual desktop environments.
The A10 connects to the host system through PCIe Gen4, providing up to 64GB/s of interface bandwidth. It is also backwards compatible with PCIe Gen3, allowing deployment in a broader range of compatible enterprise servers.
One of the A10’s major advantages is its single-slot, full-height, full-length (FHFL) PCIe form factor combined with a 150W maximum TDP. This compact design makes it suitable for dense enterprise server environments where GPU performance, power efficiency, and expansion-slot conservation are important.
The A10 also supports NVIDIA’s enterprise virtualization ecosystem, including NVIDIA Virtual PC (vPC), NVIDIA Virtual Applications (vApps), NVIDIA RTX Virtual Workstation (vWS), NVIDIA Virtual Compute Server (vCS), and NVIDIA AI Enterprise.
3. Complete Technical Specification
| Specification | NVIDIA A10 Tensor Core GPU |
|---|---|
| Product Family | NVIDIA A10 Tensor Core GPU |
| Architecture | NVIDIA Ampere |
| GPU Class | Professional Data-Center Accelerator |
| GPU Memory | 24GB GDDR6 |
| Memory Interface | 384-bit |
| Memory Bandwidth | Up to 600GB/s |
| FP32 Performance | 31.2 TFLOPS |
| TF32 Tensor Core | 62.5 TFLOPS |
| TF32 with Sparsity | Up to 125 TFLOPS |
| BFLOAT16 Tensor Core | 125 TFLOPS |
| BFLOAT16 with Sparsity | Up to 250 TFLOPS |
| FP16 Tensor Core | 125 TFLOPS |
| FP16 with Sparsity | Up to 250 TFLOPS |
| INT8 Tensor Core | 250 TOPS |
| INT8 with Sparsity | Up to 500 TOPS |
| INT4 Tensor Core | 500 TOPS |
| INT4 with Sparsity | Up to 1,000 TOPS |
| RT Cores | 72 |
| Tensor Core Generation | 3rd Generation |
| RT Core Generation | 2nd Generation |
| Video Encoding | 1 × NVENC |
| Video Decoding | 2 × NVDEC |
| AV1 Decode | Supported |
| Host Interface | PCI Express |
| PCIe Generation | PCIe Gen4 |
| PCIe Interface Bandwidth | Up to 64GB/s |
| PCIe Gen3 Compatibility | Yes |
| Form Factor | Single-slot |
| Physical Format | Full-Height, Full-Length (FHFL) |
| Maximum TDP | 150W |
| Power Connector | 8-pin |
| Cooling Design | Data-center/server cooling |
| ECC Memory | Supported |
| SR-IOV | Supported |
| MIG | Not supported |
| vGPU Support | Yes |
| NVIDIA Virtual PC | Supported |
| NVIDIA Virtual Applications | Supported |
| NVIDIA RTX Virtual Workstation | Supported |
| NVIDIA Virtual Compute Server | Supported |
| NVIDIA AI Enterprise | Supported |
| Target Platform | Enterprise / Data-Center Servers |
NVIDIA’s official product documentation specifies the A10’s 24GB GDDR6 memory, 600GB/s bandwidth, 31.2 TFLOPS FP32, 72 RT Cores, PCIe Gen4 64GB/s interface, single-slot FHFL form factor, and 150W TDP.
Note: NVIDIA’s higher Tensor Core figures marked “with sparsity” represent supported structured-sparsity workloads and should not be interpreted as universal application performance.
4. Applications
Professional Visualization
- 3D visualization
- CAD and CAE
- Engineering applications
- Architecture and design
- Product development
- Scientific visualization
- Digital content creation
- Professional graphics
Virtual Workstations & VDI
- NVIDIA RTX Virtual Workstation
- Virtual desktop infrastructure
- Remote engineering workstations
- Remote design environments
- Cloud workstations
- Graphics-rich enterprise desktops
- Remote collaboration
- Virtual applications
AI & Machine Learning
- AI inference
- Computer vision
- Image analysis
- AI-assisted professional applications
- Deep-learning inference
- Intelligent video processing
- Data science
Rendering & Media
- 3D rendering
- GPU rendering
- Video processing
- Video streaming
- Remote visualization
- Content creation
- Graphics acceleration
- AV1 video decoding
Enterprise Computing
- Data-center GPU acceleration
- Cloud GPU services
- GPU-enabled enterprise applications
- Virtualized GPU environments
- NVIDIA AI Enterprise deployments
- Research and development
NVIDIA describes the A10 as a GPU for graphics-rich VDI, AI, professional visualization, rendering, and enterprise compute workloads.
5. Compatibility
The NVIDIA A10 is designed for enterprise and data-center servers equipped with a compatible PCIe expansion slot.
Platform Requirements
- PCIe x16-compatible server slot
- PCIe Gen4 recommended
- PCIe Gen3 backward compatibility
- Single-slot clearance
- Full-height, full-length chassis support
- Server power system capable of supporting a 150W GPU
- 8-pin power connection
- Adequate server airflow
- Compatible NVIDIA GPU drivers
- Supported NVIDIA vGPU software where virtualization is required
The A10 is supported in NVIDIA-Certified Systems and can be deployed in on-premises data centers, cloud environments, and edge infrastructure.
Virtualization Compatibility
The A10 supports:
- NVIDIA Virtual PC (vPC)
- NVIDIA Virtual Applications (vApps)
- NVIDIA RTX Virtual Workstation (vWS)
- NVIDIA Virtual Compute Server (vCS)
- NVIDIA AI Enterprise
Important: The A10 is a server/data-center accelerator, not a consumer GeForce graphics card. Actual compatibility should be checked against the server manufacturer’s GPU support matrix, power configuration, BIOS, airflow design, and available PCIe slot.
6. Key Benefits
24GB GDDR6 Memory
Large 24GB GPU memory capacity supports professional visualization, rendering, AI, data science, and graphics-intensive workloads.
600GB/s Memory Bandwidth
The 384-bit GDDR6 memory subsystem provides up to 600GB/s of bandwidth for demanding GPU workloads.
72 RT Cores
Second-generation RT Cores accelerate real-time ray tracing and professional visualization applications.
Third-Generation Tensor Cores
Tensor Cores provide acceleration for modern AI workloads using TF32, FP16, BFLOAT16, INT8, and INT4 precision.
Compact Single-Slot Design
The single-slot FHFL form factor helps maximize GPU density in enterprise servers while conserving valuable PCIe expansion space.
150W Power Envelope
A maximum TDP of 150W provides a strong balance between performance and energy efficiency for mainstream enterprise GPU deployments.
Professional Virtualization
Support for NVIDIA vGPU technologies enables virtual desktops, virtual applications, remote workstations, and virtualized GPU compute environments.
Advanced Video Capability
One encoder and two decoders, including AV1 decoding support, make the A10 suitable for professional video and remote-desktop workloads.
Enterprise Deployment Flexibility
PCIe Gen4 connectivity, PCIe Gen3 compatibility, and support for NVIDIA-Certified Systems allow the A10 to be integrated into a wide range of enterprise platforms.
7. SEO Title
NVIDIA A10 Tensor Core GPU 24GB GDDR6 | PCIe Gen4 AI, VDI & Professional Visualization



