AI. RENDERING. DATA. SOLVED.
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.
SOLUTIONS
EXPLORE BY WORKLOAD
AI & DEEP LEARNING
Training, fine-tuning & inference — workstations through rack-scale GPU servers.MORE COMING SOON!
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.
NEW RELEASE
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.
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.
PLATFORMS
TWO PATHS, ONE PIPELINE
Start with a workstation for development and prototyping, then scale to rack-mounted GPU servers for production training and inference — or go directly to server-class hardware.
