Nvidia A16 vs Nvidia RTX 2000 Ada

The RTX 2000 Ada is newer and has 12% more bandwidth, with the same 16 GB of memory.

At a glance

Memory

Identical

A16: 16 GB

RTX 2000 Ada: 16 GB

Memory bandwidth

12% higher on RTX 2000 Ada

A16: 200 GB/s

RTX 2000 Ada: 224 GB/s

Cheapest on-demand

A16: --

RTX 2000 Ada: $0.12 /GPU/hr

Price comparison

Median price per GPU per hour by billing type, with the cheapest listing under it.

Billing	A16	RTX 2000 Ada	Difference
On-demand	Sold out	$0.24 /GPU/hr from $0.12
Reserved	No reserved listings	On request

Heads up: A provider's own page may quote a different figure, for example on tax, region or a promotion. A monthly-only plan shows a derived hourly rate. Medians are across providers, one vote each, so a large catalog does not outweigh a small one. Verify before provisioning. More on how we price.

Price history

A16 vs RTX 2000 Ada price history

Weekly median on-demand price per GPU per hour

Last 12 months

Aggregating historical prices...

Specs comparison

Spec	A16	RTX 2000 Ada	Difference
Memory
Capacity	16 GB GDDR6	16 GB GDDR6	Identical
Bandwidth	200 GB/s	224 GB/s	12% higher on RTX 2000 Ada
Bus width	128-bit	128-bit	Identical
Compute · dense
FP8	Not supported	96.0 TFLOPS	RTX 2000 Ada only
FP16 / BF16	17.9 TFLOPS	48.0 TFLOPS	2.7x higher on RTX 2000 Ada
INT8	35.9 TOPS
FP32	4.5 TFLOPS	12 TFLOPS	2.7x higher on RTX 2000 Ada
Platform
Interconnect	PCIe only	PCIe only
Released	Q2 2021	Q2 2024	3 years newer on RTX 2000 Ada
Precision
Supported formats	FP16BF16TF32FP32INT4INT8	FP8FP16BF16TF32FP32INT4INT8

Compute: Vendor peak figures, dense and per GPU. Not measured throughput.

Source: A16 datasheet and RTX 2000 Ada datasheet.

Where to rent them

Providers that rent these GPUs, with each one's cheapest rate. No provider we track offers both right now.

Provider	A16	RTX 2000 Ada
Vultr USA	$0.47 /GPU/hr On-demand	--
Sesterce France	$0.56 /GPU/hr On-demand	--
Theta EdgeCloud Distributed	--	$0.12 /GPU/hr On-demand
GPU.ai UAE	--	$0.24 /GPU/hr On-demand
Runpod USA	--	$0.24 /GPU/hr On-demand