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| Product Overview |
|---|
The Intel Data Center GPU Flex 170 16GB GDDR6 PCIe Gen4 x16 Accelerator Card enhances server capabilities by providing specialized GPU acceleration focused on AI and high-performance computing applications. It fits into data center setups that require efficient processing of large-scale workloads without sacrificing compatibility or scalability. |
| General Information | |
|---|---|
| Brand | Intel |
| Part Number | AICATSM1 |
| Technical Information | |
|---|---|
| Bus Interface | PCIe Gen4 x16 |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.2.175 , DirectCompute |
| Memory | |
|---|---|
| Memory Size | 16GB |
| Interface | GDDR6 |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | RoHS, CE, FCC |
| Product Description |
|---|
The Intel Data Center GPU Flex 170 is built for demanding computational workloads, especially in artificial intelligence and high-performance computing environments. It's often found in data centers where accelerated processing power is crucial for tasks like machine learning model training and inference. Tailored for IT professionals and data scientists, this accelerator card delivers efficient performance by leveraging its advanced memory and PCIe Gen4 interface. Its flexibility allows integration into various server setups requiring enhanced GPU capabilities. Key Features
This card is commonly deployed in high-demand environments like cloud service providers and research institutions, accelerating AI workloads and computational tasks. It plays a practical role in reducing processing times and improving throughput in complex data centers. |
| Use Cases |
|---|
The AICATSM1 Intel Data Center GPU Flex 170 is suited for a variety of demanding computational tasks in data center environments. How It's Used:
Its adaptability and high-performance features make it a valuable asset for organizations aiming to optimize computational efficiency and accelerate innovation. |