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Lenovo ThinkSystem SR680a V4

rack
8× B300
One NVIDIA HGX B300 SXM baseboard, which Lenovo pairs with fast interconnects between GPUs, CPUs and networking
FP64
10
TFLOPS
FP32
600
TFLOPS
Power
—
kW Total
Memory
—
GB Total

Lenovo's Blackwell Ultra machine, an 8U server developed in-house around eight NVIDIA HGX B300 SXM GPUs and two Intel Xeon 6700P processors reaching 86 cores at up to 350 W. Notably it is designed for air cooling, where most B300 machines in this catalogue are liquid cooled or need direct-to-chip plumbing, and it carries that with 21 hot-swap fans, six at the front for CPUs and memory and fifteen at the rear for drives and the GPU subsystem. Power is six or eight hot-swap supplies, either 3,200 W AC or 3,800 W high-voltage AC or DC, in N+1 or N+N redundancy. The chassis is 447 by 351 by 924 mm at up to 124.7 kg, the heaviest of Lenovo's 8U accelerator servers. Lenovo publishes no system power draw, no accelerator memory total and no system throughput figure; its per-GPU B300 table matches NVIDIA's own specification for the baseboard, which is linked here.

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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 SXM baseboard, which Lenovo pairs with fast interconnects between GPUs, CPUs and networking

System Specifications

Form Factor: rack
Total Power: —
Total Memory: —
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

Frequently asked questions

How much does the ThinkSystem SR680a V4 cost?

Lenovo sells the ThinkSystem SR680a V4 on quote through OEMs and resellers, and nobody rents a whole one by the hour. Renting its 8 B300 accelerators separately at the cheapest live rate Flopper tracks, $4.99 per GPU-hour across 10 providers, comes to about $39.92 an hour for the equivalent capacity. B300 rental prices →

How much power does the ThinkSystem SR680a V4 require?

Lenovo has not published a power figure for the ThinkSystem SR680a V4, and Flopper does not derive one from the accelerator count because the rest of the system draws power too.

How many GPUs are in the ThinkSystem SR680a V4?

8. The ThinkSystem SR680a V4 carries 8 NVIDIA B300 SXM 262GB accelerators in a rack form factor, and every throughput figure on this page is the total across them. B300 specifications →

Documentation & Resources

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Flopper Spec Sheet

Lenovo ThinkSystem SR680a V4 specifications, generated from our database. Printable.

Vendor product page

Lenovo ThinkSystem SR680a V4 documentation

View ↗

Lenovo ThinkSystem SR685a V3 Server Product Guide (LP1910)

Lenovo • Latest version

View Document ↗

Typical Use Cases

AI/ML Training
High-Performance Computing
Data Analytics

The Lenovo ThinkSystem SR680a V4 runs 8× B300 GPUs over One NVIDIA HGX B300 SXM baseboard, which Lenovo pairs with fast interconnects between GPUs, CPUs and networking, delivering 36,000 TFLOPS FP8 dense.

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