Abaco GVC1001 vs NVIDIA B300

Comparison Abaco GVC1001 with 16 GB LPDDR4X and 512 cores vs NVIDIA B300 with 144 GB HBM3e and 18,944 cores.

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Performance Rating

NVIDIA B300 outperforms Abaco GVC1001 by 3,374.88% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

Abaco GVC1001

2.1

Abaco GVC1001

2.1
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

NVIDIA B300

71.9

NVIDIA B300

71.9

Expert Comparison

Abaco GVC1001 лучше по энергоэффективности и более дешевый для небольших задач, особенно при ограниченном бюджете или энергетических ограничениях. NVIDIA B300 же значительно превосходит его по производительности, особенно в вычислениях с плавающей запятой, благодаря большему количеству ядер, обширной памяти и высокой пропускной способности. NVIDIA B300 идеально подходит для сложных вычислений, машинного обучения и графики.

Contents:

Memory ML Performance Compute Power Architecture & Compatibility ML Software Support Clocks & Performance Power Consumption Rendering Additional

Memory

Memory Size

16 GB
🔥 +800% 144 ГБ ×2 (288 ГБ)

Memory Type

LPDDR4X HBM3e

Memory Bandwidth

136.5 GB/s
🔥 4.10 TB/s ×2 (8.2 TB/s)

Memory Bus Width

256 бит 4,096 бит ×2 (8192 бит)

ML Performance

FP16 (Half Precision)

2.82 TFLOPS
🔥 1.2318 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

1.41 TFLOPS
🔥 +5,360% 76.99 TFLOPS

FP64 (Double Precision)

0.705 TFLOPS
🔥 +71% 1.2029 TFLOPS

CUDA Cores

512
🔥 +3,600% 18,944 ×2 (37888)

RT Cores

No No

Architecture & Compatibility

GPU Architecture

Volta Blackwell Ultra

SM (Streaming Multiprocessor)

8
🔥 +1,750% 148

PCIe Version

PCIe 4.0 x4 PCIe 5.0 x16

ML Software Support

CUDA Version

7.2
🔥 10.3

CUDA Toolkit (first supported)

v9 v12

CUDA Toolkit (deprecated)

v12

CUDA Toolkit (support removed)

v13

CUDA Toolkit status

Removed Supported

Clocks & Performance

Base Clock

854
🔥 +95% 1,665

Boost Clock

1,377
🔥 +48% 2,032

Memory Clock

2,133
🔥 2,000

Power Consumption

Recommended PSU

No 1800 W

Power Connector

No No

TDP/TGP

🔥 -98% 30 W
1400 W

Rendering

Texture Units (TMU)

32
🔥 +1,750% 592 ×2 (1184)

ROP

No No

L2 Cache

512 KB
🔥 50 MB

Additional

Slots

IGP
🔥 SXM Module

Release Date

Oct. 13, 2018 Sept. 11, 2025

Display Outputs

Portable Device Dependent
No outputs

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