NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip 252GB
Overview
This is the NVIDIA GB300 Grace Blackwell Ultra Superchip as configured in the DGX Station, NVIDIA's desktop machine, rather than the datacenter part of the same name. Compute is identical to a full Blackwell Ultra datacenter GPU: 15 PFLOPS of dense NVFP4, 5 PFLOPS of dense FP8, and every figure divides cleanly out of the GB300 NVL72 rack totals. What NVIDIA cuts for the desktop is memory. The Station carries 252 GB of HBM3e at 7.1 TB/s where a rack GPU carries 288 GB at 8 TB/s, alongside 496 GB of LPDDR5X for 748 GB of coherent memory in total. The two pools are not interchangeable in practice, because they differ by roughly eighteen times in bandwidth, so a model that fits in HBM behaves very differently from one that spills. Note the INT8 figure, which sits far below FP8 rather than matching it. That is deliberate on Blackwell Ultra, whose INT8 datapath was reallocated to NVFP4, and it is not a typo to be corrected upward. This row covers a single Blackwell Ultra GPU. The NVIDIA GB200 Grace Blackwell Superchip row covers two B200s, so its figures are pair totals and sit at roughly double the ones here for reasons of packaging rather than silicon.
Performance
Peak theoretical throughput by precision type
| Precision | Dense | 2:4 Sparse |
|---|---|---|
FP64 64-bit floating point | 1.3TFLOPS | Structured sparsity is a tensor-core feature; this vector precision has no sparse form |
FP32 32-bit floating point | 80TFLOPS | Structured sparsity is a tensor-core feature; this vector precision has no sparse form |
TF32 TensorFloat-32 | 1,250TFLOPS | 2,500TFLOPS |
BF16 Brain Float 16 | 2,500TFLOPS | 5,000TFLOPS |
FP16 16-bit floating point | 2,500TFLOPS | 5,000TFLOPS |
FP8 8-bit floating point | 5,000TFLOPS | 10,000TFLOPS |
FP6 | 5,000TFLOPS | 10,000TFLOPS |
FP4 4-bit floating point | 15,000TFLOPS | 20,000TFLOPS |
INT8 8-bit integer | 165TOPS | 330TOPS |
Specifications
Architecture
Blackwell Ultra
Form Factor
Superchip
Launch Year
2025
Process Node
4nm
Memory
252 GB HBM3e
Bandwidth
7,100 GB/s
TDP
No verified data available
Max power
No verified data available
Interconnect
900 GB/s NVLink-C2C
bidirectional, per GPU
Spec Confidence
Official
Full Specifications
| Memory | |
|---|---|
| Memory | 252 GB |
| Memory Type | HBM3e |
| Bandwidth | 7.1 TB/s |
| Interface Width | No verified data available |
| Interconnect & I/O | |
| GPU-to-GPU | NVLink-C2C |
| Interconnect Bandwidth | 900 GB/s bidirectional, per GPU |
| Power & Thermal | |
| TDP | No verified data available |
| Max power | No verified data available |
| Enterprise Features | |
| Sparsity | Yes |
| Physical & Media | |
| NVENC Engines | 1 |
| General | |
| Form Factor | Superchip |
| Architecture | Blackwell Ultra |
| Process Node | 4nm |
| Launch Year | 2025 |
Datasheet & Resources
Flopper Datasheet
NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip 252GB specifications, generated from our database. Printable.
Vendor product page
NVIDIA documentation for the GB300 Grace Blackwell Ultra Desktop Superchip 252GB
NVIDIA Developer Documentation
Technical specs, programming guides
Data Provenance
Every figure traced to a source
Primary Source
- Document
- —
- Publisher
- NVIDIA
- Published
- No verified data available
Data Quality
- Spec confidence
- Official
- Clock basis
- Boost
- Core precisions with figures
- 9 of 9
- Normalization
- All values in TFLOPS
Compare cloud providers offering on-demand GPU instances for AI training, inference, and HPC workloads.
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Desktops Built on This Chip
AI desktops and workstations powered by the NVIDIA GB300
| Desktop | Memory | AI Performance | |
|---|---|---|---|
ASUS ExpertCenter Pro ET900N G3 ASUS · 2025 | 748 GB | 20,000 TOPS | View Desktop |
MSI XpertStation WS300 MSI · 2025 | 748 GB | 20,000 TOPS | View Desktop |
NVIDIA DGX Station GB300 NVIDIA · 2025 | 748 GB | 20,000 TOPS | View Desktop |
Supermicro Super AI Station ARS-511GD Supermicro · 2025 | 748 GB | 20,000 TOPS | View Desktop |
Dell Pro Max with GB300 Dell · 2025 | 784 GB | 20,000 TOPS | View Desktop |
Frequently Asked Questions
How many TFLOPS does the NVIDIA GB300 have?
The NVIDIA GB300 delivers 80 TFLOPS FP32, 2,500 TFLOPS FP16 and 5,000 TFLOPS FP8 at peak.
What is the power consumption of the NVIDIA GB300?
Flopper does not currently have a verified TDP (Thermal Design Power) figure for the NVIDIA GB300.
How much memory does the NVIDIA GB300 have?
The NVIDIA GB300 is equipped with 252 GB of memory with 7,100 GB/s of memory bandwidth.
What architecture is the NVIDIA GB300 based on?
The NVIDIA GB300 is based on the Blackwell Ultra architecture, launched in 2025.
How much does the NVIDIA GB300 cost to rent?
Flopper is not tracking any live rental listings for the NVIDIA GB300. The provider directory lists the clouds that rent comparable accelerators on demand.
When did the NVIDIA GB300 come out?
The NVIDIA GB300 launched in 2025 on the Blackwell Ultra architecture.
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