New in Stock 80GB Tesla PCIe Custom-made GPU HBM2 2-Slot Workstation High Performance Graphics Card with Fan Cooling

Core Parameters	Core Architecture: Ampere (GA100 GPU cores) Production Process: 7nm Transistors: 54 Billion CUDA Cores: 6912 Core Frequency: 1410MHz
Video Memory	Capacity: 80GB Type: HBM2e Bit Width: 5120 bits Bandwidth: Approx. 2039GB/s
Compute Performance	FP32 (Single Precision): ~19.5TFLOPS FP64 (Double Precision): ~9.7TFLOPS TF32: ~156TFLOPS FP16/BF16: ~312TFLOPS (Up to 624TFLOPS in sparse mode) INT8: ~624TOPS
Interconnections	Interface: PCI Express 4.0 x16 (PCIe 3.0 compatible) NVLink: Supports NVLink Gen 3 (600GB/s bandwidth). Multi-SIM interconnection requires NVSwitch (SXM4 version support).
Power & Thermal	Max Power: 300W Heat Dissipation: Server-grade passive heat dissipation, optimized for chassis air ducts.
Advanced Features	MIG: Physically divisible into up to 7 independent instances (7GB memory each). Supported Tech: CUDA 11, cuDNN, TensorRT, PyTorch, TensorFlow, and vGPUs.

GA100 80GB Security

Cyber Resilient Architecture for Zero Trust IT: Security is integrated into every phase of the lifecycle. Silicon-based root of trust anchors end-to-end boot resilience while Multi-Factor Authentication (MFA) ensures trusted operations.

Autonomous Efficiency

Accelerate Operations: Deliver secure, efficient, and comprehensive solutions for servers. Simplify, automate, and centralize management with enterprise consoles and iDRAC integration.

Sustainability

Designed for the future with energy-efficient options. The portfolio focuses on reducing carbon footprints and lowering operational costs through recycled materials and responsible legacy system retirement.

Professional Output Capabilities

✔ Typically equipped with four DisplayPort 1.4 ports.

✔ Supports up to four 5K displays @60Hz or dual 8K displays @60Hz.

✔ Each port drives 4096x2160@120Hz with 30-bit color for ultra-high resolution.

Frequently Asked Questions

Q1: What are the primary compute specifications of the GA100 80GB?

The GA100 features 6912 CUDA cores built on the 7nm Ampere architecture, delivering approximately 19.5 TFLOPS of FP32 single-precision performance and up to 624 TOPS for INT8 tasks.

Q2: How does Multi-Instance GPU (MIG) technology benefit users?

MIG allows a single GPU to be partitioned into up to seven independent hardware instances. Each instance has its own isolated compute and memory (7GB each), ensuring multi-task isolation and maximized resource utilization.

Q3: What type of memory does this hardware utilize?

It is equipped with 80GB of high-speed HBM2e memory with a massive 5120-bit bus width, providing a bandwidth of roughly 2039GB/s for data-heavy workloads.

Q4: What are the thermal and power requirements for installation?

The maximum power consumption is 300W. It uses server-grade passive heat dissipation, which requires high-efficiency airflow within the server chassis or specialized heat sinks for stable operation.

Q5: Is this compatible with existing deep learning frameworks?

Yes, it is fully optimized for major frameworks like PyTorch and TensorFlow, utilizing acceleration libraries such as CUDA 11, cuDNN, and TensorRT.

Q6: What display configurations are supported?

It supports multiple high-resolution outputs, including up to four 5K displays at 60Hz or dual 8K displays at 60Hz via its DisplayPort 1.4 interfaces.

Product Detail

New in Stock 80GB Tesla PCIe Custom-made GPU HBM2 2-Slot Workstation High Performance Graphics Card with Fan Cooling