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QCT QuantaGrid D75L-3U

rack
8× B300
One NVIDIA HGX B300 8-GPU baseboard with fifth-generation NVLink at 1.8 TB/s; eight onboard ConnectX-8 SuperNICs at up to 800Gb/s for east-west traffic, with up to three further NICs for north-south
FP64
10
TFLOPS
FP32
600
TFLOPS
Power
—
kW Total
Memory
2300
GB Total

QCT's density play: the same NVIDIA HGX B300 8-GPU baseboard as its 10U sibling, compressed into 3U by liquid cooling and designed for the NVIDIA MGX rack rather than a standalone chassis. It takes power from a 1400A busbar and rack power shelves instead of its own supplies, which is why no power figure appears here at all, and supports DC-SCM. Fifth-generation NVLink runs at 1.8 TB/s, and eight onboard ConnectX-8 SuperNICs handle east-west traffic at up to 800Gb/s. Hosting is two Intel Xeon 6700 P-core processors at up to 350 W. QCT states 2.3 TB of HBM3e per system, which is eight B300 modules at 288 GB apiece; note NVIDIA quotes 2.1 TB for the same baseboard, and this entry keeps QCT's figure since QCT is the one publishing it. No throughput figure is given for this model.

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FP64
10
TFLOPS
FP32
600
TFLOPS
TF32
9,000
TFLOPS
FP16
18,000
TFLOPS

System Details

GPU Configuration

GPU Count: 8 GPUs
Architecture: Blackwell Ultra
Interconnect: One NVIDIA HGX B300 8-GPU baseboard with fifth-generation NVLink at 1.8 TB/s; eight onboard ConnectX-8 SuperNICs at up to 800Gb/s for east-west traffic, with up to three further NICs for north-south

System Specifications

Form Factor: rack
Total Power: —
Total Memory: 2.3 TB
Memory Bandwidth: 64 TB/s

Precision Performance Breakdown

PrecisionSystem PerformancePer GPUEfficiency
10 TFLOPS 1.3 TFLOPS —
600 TFLOPS 75 TFLOPS —
9,000 TFLOPS 1,125 TFLOPS —
18,000 TFLOPS 2,250 TFLOPS —
18,000 TFLOPS 2,250 TFLOPS —
36,000 TFLOPS 4,500 TFLOPS —
108,000 TFLOPS 13,500 TFLOPS —
1,500 TOPS 188 TOPS —
FP6 36,000 TFLOPS 4,500 TFLOPS —

Where a vendor states a basis, the figure shown is the dense one, and any figure it publishes is listed separately. Vendors commonly headline the sparse number instead: for NVIDIA's 2:4 structured sparsity that is exactly twice the dense figure, though other vendors' sparse modes do not all follow that ratio.

Powered by NVIDIA B300

This system utilizes 8 × NVIDIA B300 SXM 262GB GPUs, each delivering exceptional performance for AI and HPC workloads.

Per GPU TDP

1400W

Per GPU Memory

263 GB

Process Node

4nm

Architecture

Blackwell Ultra

Documentation & Resources

Flopper Spec Sheet

QCT QuantaGrid D75L-3U specifications, generated from our database. Printable.

Vendor product page

QCT QuantaGrid D75L-3U documentation

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QCT QuantaGrid D75H-10U

QCT • Latest version

View Document ↗

Typical Use Cases

AI/ML Training
High-Performance Computing
Data Analytics

The QCT QuantaGrid D75L-3U runs 8× B300 GPUs over One NVIDIA HGX B300 8-GPU baseboard with fifth-generation NVLink at 1.8 TB/s; eight onboard ConnectX-8 SuperNICs at up to 800Gb/s for east-west traffic, with up to three further NICs for north-south, delivering 36,000 TFLOPS FP8 dense.

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