NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip 252GB vs NVIDIA B30A
Side-by-side specifications, performance, and rental pricing for datacenter AI workloads.
GB300: Blackwell Ultra, 2025 B30A: Blackwell Ultra, 2025
NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip 252GB
Full specs →Architecture
Blackwell Ultra
Year
2025
VRAM
252 GB
NVIDIA B30A
Full specs →Architecture
Blackwell Ultra
Year
2025
Specifications
GB300 B30A
Architecture
Blackwell UltraBlackwell Ultra
Launch Year
20252025
Form Factor
Superchip—
VRAM
252 GB—
Memory Bandwidth
7.1 TB/s—
TDP
——
Process Node
4nm—
Spec GB300 B30A
Architecture Blackwell UltraBlackwell Ultra
Launch Year 20252025
Form Factor Superchip—
VRAM 252 GB—
Memory Bandwidth 7.1 TB/s—
TDP ——
Process Node 4nm—
Performance (TFLOPS)
GB300 B30A
FP64
1.3 TFlops —
FP32
80.0 TFlops —
FP16
2500.0 TFlops
5000.0
TFLOPS sparse
—BF16
2500.0 TFlops
5000.0
TFLOPS sparse
—FP8
5000.0 TFlops
10000.0
TFLOPS sparse
—INT8
165.0 TFlops
330.0
TOPS sparse
—Precision GB300 B30A
FP64 1.3 TFlops —
FP32 80.0 TFlops —
FP16 2500.0 TFlops
5000.0
TFLOPS sparse
—BF16 2500.0 TFlops
5000.0
TFLOPS sparse
—FP8 5000.0 TFlops
10000.0
TFLOPS sparse
—INT8 165.0 TFlops
330.0
TOPS sparse
—FLOPS by Precision
What actually differs
Both GPUs launched in 2025: the GB300 on Blackwell Ultra and the B30A on Blackwell Ultra.
For LLM training and inference, weight the FP8 and FP16 rows and memory capacity most heavily. For scientific and HPC workloads, the FP64 row is the one to read.
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