### FlexPrime V20R ### FlexPrime V50R ### FlexPrime V80T ### FlexPrime R80T ### FlexGrid G2E2 ### FlexGrid MG4E2 ### FlexGrid HG8E2 ### FlexGrid MI8E2 #### Specifications - **Form Factor**: Small **CPU**: 1x AMD Ryzen 7000 Series **GPU**: Up to 1x Double-Wide GPU **MEMORY**: Up to 4x DDR5 - **Form Factor**: Mid Tower **CPU**: 1x AMD Ryzen 7000, 8000, 9000 Series **GPU**: Up to 2x Double-Wide GPU **MEMORY**: Up to 4x DDR5 - **Form Factor**: Full Tower **CPU**: 1x AMD Threadripper PRO 7000, Threadripper 7000 Series **GPU**: Up to 4x Double-Wide GPU **MEMORY**: Up to 4x DDR5 ECC/R - **Form Factor**: Full Tower / Rackmount Convertible **CPU**: 1x AMD Threadripper PRO 7000, Threadripper 7000 Series **GPU**: Up to 4x Double-Wide GPU **MEMORY**: Up to 4x DDR5 ECC/R - **GPU Count**: Up to 4x GPU **CPU/Form Factor**: Dual AMD EPYC Sockets **GPU Topology**: PCIe GPU Topology **Networking**: Configurable **Highlights**: Ideal for fine-tuning, LoRA, and smaller model training; Budget-friendly entry point - **GPU Count**: Up to 8x GPU (600W) **CPU/Form Factor**: Dual AMD EPYC Sockets **GPU Topology**: PCIe GPU Topology **Networking**: Configurable **Highlights**: High core count for data preprocessing; Balanced training & preprocessing - **GPU Count**: 8x NVIDIA B300 GPUs **CPU/Form Factor**: Dual AMD Sockets HGX **GPU Topology**: SXM6 NVLinked GPU-to-GPU Interconnect **Networking**: 8x ConnectX-8 InfiniBand NICs **Highlights**: Full-scale LLM & foundation model training - **GPU Count**: 8x AMD Instinct MI325X OAM GPUs **CPU/Form Factor**: Dual AMD EPYC Sockets **GPU Topology**: 8x AMD Instinct MI325 Accelerators **Networking**: Up to 8x Single Port 200GbE NICs **Highlights**: 2 TB HBM3E total memory — 256 GB per GPU # CORSAIR PRO Whether you're a researcher iterating on model architectures or an enterprise deploying inference at scale, Corsair Pro Systems offers GPU platforms purpose-built for every stage of the AI pipeline. ## EXPLORE BY WORKLOAD - #### AI & DEEP LEARNING Training, fine-tuning & inference — workstations through rack-scale GPU servers. ## THE CORSAIR DIFFERENCE - #### BUILT FOR YOUR WORKLOAD Every CORSAIR PRO system is configured, assembled, and validated to the job it's going to do — from component selection through thermal tuning. - #### CONFIGURED, NOT COMPROMISED CORSAIR PRO systems are spec'd around your workload — the CPU, GPU, memory, and storage you actually need. No locked SKUs, no "close enough" substitutions. - #### YOUR WORKLOAD, YOUR CONFIGURATION CORSAIR PRO builds to order around your specific requirements — the components you need, validated together before they ship. ### FLEXPRIME V80B Brings the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip architecture to a deskside tower form factor. Designed for demanding AI training, fine-tuning, inference, and simulation workflows that previously required rack-mounted hardware. 775 GB of coherent shared memory — combining 279 GB HBM3e GPU memory and 496 GB LPDDR5X system memory via NVLink C2C — enables large-model workloads without leaving your office. - #### GB300 GRACE BLACKWELL ULTRA SUPERCHIP NVIDIA GB300 combines a high-performance Grace CPU and Blackwell Ultra GPU through NVLink C2C interconnect, delivering compute density comparable to rack-scale systems in a single deskside chassis. - #### 800 Gb/s ConnectX-8 SuperNIC NVIDIA ConnectX-8 SuperNIC provides up to 800 Gb/s of network bandwidth for fast data ingestion and scalable multi-node AI workloads. - #### 775GB COHERENT SHARED MEMORY 279 GB HBM3e GPU memory and 496 GB LPDDR5X system memory unified through C2C interconnect. Large language models and simulation datasets fit entirely in memory without paging. ## WORKSTATIONS ## SERVERS