Alongside a slew of software-related announcements this morning from NVIDIA as part of their fall GTC, the company has also quietly announced a new server GPU product for the accelerator market: the NVIDIA A2. The new low-end member of the Ampere-based A-series accelerator family is designed for entry-level inference tasks, and thanks to its relatively small size and low power consumption, is also being aimed at edge computing scenarios as well.
Along with serving as the low-end entry point into NVIDIA’s GPU accelerator product stack, the A2 seems intended to largely replace what was the last remaining member of NVIDIA’s previous generation cards, the T4. Though a bit of a higher-end card, the T4 was designed for many of the same inference workloads, and came in the same HHHL single-slot form factor. So the release of the A2 finishes the Ampere-ficiation of NVIDIA accelerator lineup, giving NVIDIA’s server customers a fresh entry-level card.
NVIDIA ML Accelerator Specification Comparison
A100
A30
A2
FP32 CUDA Cores
6912
3584
1280
Tensor Cores
432
224
40
Boost Clock
1.41GHz
1.44GHz
1.77GHz
Memory Clock
3.2Gbps HBM2e
2.4Gbps HBM2
12.5Gbps GDDR6
Memory Bus Width
5120-bit
3072-bit
128-bit
Memory Bandwidth
2.0TB/sec
933GB/sec
200GB/sec
VRAM
80GB
24GB
16GB
Single Precision
19.5 TFLOPS
10.3 TFLOPS
4.5 TFLOPS
Double Precision
9.7 TFLOPS
5.2 TFLOPS
0.14 TFLOPS
INT8 Tensor
624 TOPS
330 TOPS
36 TOPS
FP16 Tensor
312 TFLOPS
165 TFLOPS
18 TFLOPS
TF32 Tensor
156 TFLOPS
82 TFLOPS
9 TFLOPS
Interconnect
NVLink 3
12 Links
PCIe 4.0 x16 +
NVLink 3 (4 Links)
PCIe 4.0 x8
GPU
GA100
GA100
GA107
Transistor Count
54.2B
54.2B
?
TDP
400W
165W
40W-60W
Manufacturing Process
TSMC 7N
TSMC 7N
Samsung 8nm
Form Factor
SXM4
SXM4
HHHL-SS PCIe
Architecture
Ampere
Ampere
Ampere
Going by NVIDIA’s official specifications, the A2 appears to be using a heavily cut-down version of their low-end GA107 GPU. With only 1280 CUDA cores (and 40 tensor cores), the A2 is only using about half of GA107’s capacity. But this is consistent with the size and power-optimized goal of the card. A2 only draws 60W out of the box, and can be configured to drop down even further, to 42W.
Compared to its compute cores, NVIDIA is keeping GA107’s full memory bus for the A2 card. The 128-bit memory bus is paired with 16GB of GDDR6, which is clocked at a slightly unusual 12.5Gbps. This works out to a flat 200GB/second of memory bandwidth, so it would seem someone really wanted to have a nice, round number there.
Otherwise, as previously mentioned, this is a PCIe card in a half height, half-length, single-slot (HHHL-SS) form factor. And like all of NVIDIA’s server cards, A2 is passively cooled, relying on airflow from the host chassis. Speaking of the host, GA107 only offers 8 PCIe lanes, so the card gets a PCIe 4.0 x8 connection back to its host CPU.
Wrapping things up, according to NVIDIA the A2 is available immediately. NVIDIA does not provide public pricing for its server cards, but the new accelerator should be available through NVIDIA’s regular OEM partners.