NVIDIA GeForce RTX 5070 Ti SUPER vs NVIDIA Tesla V100 FHHL

Comparison of NVIDIA GeForce RTX 5070 Ti SUPER with 16 GB GDDR7 and 8,960 cores vs NVIDIA Tesla V100 FHHL with 16 GB HBM2 and 5,120 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

NVIDIA GeForce RTX 5070 Ti SUPER

NVIDIA GeForce RTX 5070 Ti SUPER

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

NVIDIA Tesla V100 FHHL

13.4

NVIDIA Tesla V100 FHHL

13.4

Contents:

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

Memory

Memory Size

16 GB 16 ГБ

Memory Type

GDDR7 HBM2

Memory Bandwidth

896.0 GB/s 827.4 GB/s

Memory Bus Width

256 бит 4,096 бит

ML Performance

FP16 (Half Precision)

43.94 TFLOPS 26.42 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

43.94 TFLOPS 13.21 TFLOPS

FP64 (Double Precision)

0.6866 TFLOPS 6.605 TFLOPS

CUDA Cores

8,960 5,120

RT Cores

70 No

Architecture & Compatibility

GPU Architecture

Blackwell 2.0 Volta

SM (Streaming Multiprocessor)

70 80

PCIe Version

PCIe 5.0 x16 PCIe 3.0 x16

ML Software Support

CUDA Version

🔥 12.0
7.0

Clocks & Performance

Base Clock

2,295 937

Boost Clock

2,452 1,290

Memory Clock

1,750 808

Power Consumption

TDP/TGP

350 W
🔥 -29% 250 W

Recommended PSU

750 W
🔥 -20% 600 W

Power Connector

1x 16-pin 1x 8-pin

Rendering

Texture Units (TMU)

280 320

ROP

70 No

L2 Cache

48 MB 6 MB

Additional

Slots

Dual-slot Single-slot

Release Date

March 11, 2026 March 27, 2018

Display Outputs

1x HDMI 2.1b
3x DisplayPort 2.1b
No outputs

Renting is cheaper than buying