HPC & Scientific Computing
Accelerators for scientific simulation, computational physics, climate modeling, drug discovery, and genomics. These GPUs combine massive floating-point throughput with high memory bandwidth to tackle the world's most demanding computational workloads.
Key Capabilities
FP64 Performance
Double-precision floating-point performance for scientific accuracy in molecular dynamics, CFD, and computational chemistry.
Memory Bandwidth
Multi-TB/s HBM bandwidth handles the massive datasets required for climate simulation, seismic analysis, and genomic sequencing.
Exascale Clustering
High-speed interconnects and proven multi-node scaling power the world's fastest supercomputers for frontier scientific discovery.
Software Ecosystem
CUDA, ROCm, and HPC SDK support with optimized libraries for GROMACS, LAMMPS, VASP, WRF, and other scientific applications.
Compatible Accelerators
All accelerators eligible for GPU-backed financing through GPU Loans.
NVIDIA Rubin R100
Next-gen Rubin architecture with 288GB HBM4, 22 TB/s bandwidth, and 50 PFLOPS FP4.
View Specs →NVIDIA GB200 Grace Blackwell Superchip
Grace Blackwell Superchip with 384GB HBM3e and 40 PFLOPS FP4.
View Specs →NVIDIA Blackwell Ultra B300
Blackwell Ultra with 288GB HBM3e and 15 PFLOPS FP4 for exascale AI.
View Specs →NVIDIA Blackwell B200
Next-gen Blackwell architecture with 192GB HBM3e and 20 PFLOPS FP4.
View Specs →NVIDIA Hopper H200
Enhanced Hopper with 141GB HBM3e for memory-intensive AI workloads.
View Specs →System Vendors
Enterprise OEM partners offering server platforms for high-performance computing workloads.
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