Brand: Gigabyte | Category: GPUs
SKU: G-GP-AG60G2-00-10G | Part #: GP-AG60G2-00-10G | MPN: GP-AG60G2-00-10G
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Professional AI training and inference workloads demand the architectural precision of NVIDIA Ada Lovelace, and the Gigabyte GP-AG60G2 NVIDIA RTX 6000 Ada Generation Professional GPU delivers exactly that foundation. Built on the AD102 architecture, this card packs 18,176 CUDA cores alongside 142 third-generation RT cores and 142 fourth-generation Tensor cores—a configuration purpose-built for compute-intensive applications that require both raw throughput and specialized acceleration. With 48 GB of GDDR6 ECC memory paired to a 384-bit memory bus, the card sustains 960 GB/s bandwidth, enabling seamless data movement even under sustained workload pressure. The GPU connects via PCIe 4.0 x16 and draws 300 W total board power through a single 16-pin PCIe 5.0 connector, making it suitable for systems with a 650 W minimum recommended power supply.
Data science teams, AI infrastructure engineers, and enterprise IT procurement departments select the Gigabyte GP-AG60G2-00-10G when they must guarantee performance consistency across deep learning frameworks, professional rendering pipelines, and HPC simulations. ECC memory protection eliminates silent data corruption—a critical safeguard in production environments where precision cannot be compromised. The card's active triple-fan cooling solution and dual-slot, full-height form factor integrate into standard enterprise server chassis, while four DisplayPort 1.4a outputs and native 8K (7680 × 4320) display support serve visualization-heavy workflows. DirectX 12 Ultimate, OpenGL 4.6, OpenCL, Vulkan, and CUDA API support ensure broad software compatibility across industry-standard tools and custom applications.
Organizations deploying RTX 6000 Ada clusters demand reliable supply chains and certified stock. Contact Omnixon Global, your B2B enterprise IT hardware partner in Dubai, to request a quotation for the Gigabyte GP-AG60G2-00-10G and configure volume pricing, delivery logistics, and technical support tailored to your infrastructure roadmap.
| Brand | Gigabyte |
| Category | GPUs |
| SKU | G-GP-AG60G2-00-10G |
| Part Number | GP-AG60G2-00-10G |
| Condition | New |
| Capacity | 48GB |
| Manufacturer Part Number | GP-AG60G2-00-10G |
| GPU Architecture | NVIDIA Ada Lovelace (AD102) |
| CUDA Cores | 18176 |
| RT Cores | 142 (3rd Generation) |
| Tensor Cores | 142 (4th Generation) |
| GPU Memory | 48 GB GDDR6 ECC |
| Memory Bus Width | 384-bit |
| Memory Bandwidth | 960 GB/s |
| Interface | PCIe 4.0 x16 |
| Display Outputs | 4x DisplayPort 1.4a |
| Max Display Resolution | 7680 x 4320 (8K) |
| Form Factor | Dual Slot, Full Height Full Length (FHFL) |
| TDP (Total Board Power) | 300 W |
| Power Connector | 1x 16-pin (PCIe 5.0 connector) |
| Recommended System Power | 650 W |
| Cooling Solution | Active (triple-fan) |
| API Support | DirectX 12 Ultimate, OpenGL 4.6, OpenCL, Vulkan, CUDA |
| NVLINK Support | No |
| ECC Memory | Yes |
| Operating System Support | Windows 10/11 64-bit, Linux 64-bit |
The Gigabyte GP-AG60G2 NVIDIA RTX 6000 Ada Generation Professional GPU accelerates AI/ML training, inference, scientific HPC, and virtualization (vGPU) workloads. Typical deployments include LLM training clusters, computer-vision pipelines, financial risk modeling, and rendering farms.
Key specifications for the Gigabyte GP-AG60G2 NVIDIA RTX 6000 Ada Generation Professional GPU: capacity 48GB; 3 years support; new condition; support 3 years standard (manufacturer); gpu support NVIDIA RTX 6000 Ada; ai optimized Yes. Manufacturer part number GP-AG60G2-00-10G. For the full datasheet with electrical, environmental, and compliance details, contact our pre-sales engineering team.
The Gigabyte GP-AG60G2 NVIDIA RTX 6000 Ada Generation Professional GPU requires a PCIe Gen4 or Gen5 x16 slot, server power adequate for the card's TDP, and CUDA/ROCm driver support in your hypervisor or bare-metal OS. Sales engineering will confirm chassis fit (1U/2U/4U), PCIe lane count, and PSU headroom before quoting.