No datasheet is linked because NVIDIA has retired this product page. Checked in August 2026: the address either returns a 404 or redirects to a general data centre landing page that does not mention the product. The specifications here were recorded while the page existed.

NVIDIA V100 SXM2 16GB

Architecture: VoltaReleased: 2017Process: 12nmSpec confidence: Official
FP32
16
TFLOPS
Memory
16 GB
HBM2
Bandwidth
900 GB/s
memory
TDP
300 W
52.3 FP32 dense TFLOPS/kW of TDP

Performance

Peak theoretical throughput by precision type

PrecisionPeak
FP64
64-bit floating point
7.8TFLOPS
FP32
32-bit floating point
16TFLOPS
TF32
No verified data available
BF16
No verified data available
FP16
16-bit floating point
125TFLOPS
FP8
No verified data available
FP6
No verified data available
FP4
No verified data available
INT8
No verified data available

Every figure here is dense. The vendor documents no structured (2:4) sparsity mode for this part, so there is no second number to quote.

The V100 SXM2 16GB in the GPU landscape

Peak FP16 TFLOPS (dense) against TDP, single-GPU parts tracked by Flopper

06001,2001,8002,4003,0000 W250 W500 W750 W1000 W1250 W1500 WInstinct MI355XV100 SXM2 16GB

Higher and further left is better: more half-precision throughput for less power.

Specifications

Architecture

Volta

Form Factor

SXM

Launch Year

2017

Process Node

12nm

Memory

16 GB HBM2

Bandwidth

900 GB/s

TDP

300 W

Max power (Flopper estimate)

~345 W est. Flopper estimate: 300 W TDP x 1.15. The vendor publishes no maximum board power for this part.

Spec Confidence

Official

Full Specifications

Memory
Memory 16 GB
Memory Type HBM2
Bandwidth 900 GB/s
Interface Width No verified data available
Power & Thermal
TDP 300 W
Max power (Flopper estimate) ~345 W est.
Enterprise Features
Sparsity No
General
Form Factor SXM
Architecture Volta
Process Node 12nm
Launch Year 2017

Datasheet & Resources

Flopper Datasheet

NVIDIA V100 SXM2 16GB specifications, generated from our database. Printable.

NVIDIA Developer Documentation

Technical specs, programming guides

Browse

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
3 of 9
Normalization
All values in TFLOPS

Rent this GPU

$0.11 / GPU-hr

Lowest of 9 live listings across 5 providers· median $1.56

Median of each provider's cheapest on-demand listing, so a provider with many configurations counts once.

See all rental prices →

Price history and every provider on the pricing page. Some links are affiliate links.

Similar GPUs

NVIDIA V100S PCIe 32GB

PCIe · 2020
FP32: 16 TFLOPS
Compare vs V100S

NVIDIA V100 SXM2 32GB

SXM · 2018
FP32: 16 TFLOPS
Compare vs V100

NVIDIA V100 PCIe 16GB

PCIe · 2017
FP32: 14 TFLOPS
Compare vs V100

NVIDIA V100 PCIe 32GB

PCIe · 2018
FP32: 14 TFLOPS
Compare vs V100

NVIDIA Titan V 12GB

PCIe · 2017
FP32: 15 TFLOPS
Compare vs Titan V

Frequently Asked Questions

How many TFLOPS does the NVIDIA V100 have?

The NVIDIA V100 delivers 16 TFLOPS FP32 and 125 TFLOPS FP16 at peak. Flopper does not currently have a verified FP8 throughput figure for it.

What is the power consumption of the NVIDIA V100?

The NVIDIA V100 has a TDP (Thermal Design Power) rating of 300 watts.

How much memory does the NVIDIA V100 have?

The NVIDIA V100 is equipped with 16 GB of memory with 900 GB/s of memory bandwidth.

What architecture is the NVIDIA V100 based on?

The NVIDIA V100 is based on the Volta architecture, launched in 2017.

How much does the NVIDIA V100 cost to rent?

The NVIDIA V100 rents from $0.11 per GPU-hour across 5 cloud providers, the lowest of 9 live listings Flopper tracks. The pricing page lists every provider and the price history.

When did the NVIDIA V100 come out?

The NVIDIA V100 launched in 2017 on the Volta architecture.

Stay Updated on GPU Releases

Get notified when new GPUs are added or specifications are updated.

Loading verification...

No spam, unsubscribe anytime.

Back to GPUs

© 2026 Flopper.io - Compare the GPUs Powering AI