NVIDIA A100 Ampere GPU Launched in PCIe Form Factor, 20 Times Faster Than Volta at 250W & 40 GB HBM2 Memory

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NVIDIA has added a third variant to its growing Ampere A100 GPU family, the A100 PCIe which is PCIe 4.0 compliant and comes in the standard full-length, full height form factor compared to the mezzanine board we got to see earlier.

NVIDIA's A100 Ampere GPU Gets PCIe 4.0 Ready Form Factor - Same GPU Configuration But at 250W, Up To 90% Performance of the Full 400W A100 GPU

Just like the Pascal P100 and Volta V100 before it, the Ampere A100 GPU was bound to get a PCIe variant sooner or later. Now NVIDIA has announced that its A100 PCIe GPU accelerator is available for a diverse set of use cases with system ranging from a single A100 PCIe GPU to servers utilizing two cards at the same time through the 12 NVLINK channels that deliver 600 GB/s of interconnect bandwidth.

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In terms of specifications, the A100 PCIe GPU accelerator doesn't change much in terms of core configuration. The GA100 GPU retains the specifications we got to see on the 400W variant with 6912 CUDA cores arranged in 108 SM units, 432 Tensor Cores and 40 GB of HBM2 memory that delivers the same memory bandwidth of 1.55 TB/s (rounded off to 1.6 TB/s). The main difference can be seen in the TDP which is rated at 250W for the PCIe variant whereas the standard variant comes with a 400W TDP.

Now we can guess that the card would feature lower clocks to compensate for the less TDP input but NVIDIA has provided the peak compute numbers and those remain unaffected for the PCIe variant. The FP64 performance is still rated at 9.7/19.5 TFLOPs, FP32 performance is rated at 19.5 /156/312 TFLOPs (Sparsity), FP16 performance is rated at 312/624 TFLOPs (Sparsity) & INT8 is rated at 624/1248 TOPs (Sparsity).

According to NVIDIA, the A100 PCIe accelerator can deliver 90% the performance of the A100 HGX card (400W) in top server applications. This is mainly due to the less time it takes for the card to achieve the said tasks however, in complex situations which required sustained GPU capabilities, the GPU can deliver anywhere from up to 90% to down to 50% the performance of the 400W GPU in the most extreme cases. NVIDIA told that the 50% drop will be very rare and only a few tasks can push the card to such extend.

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NVIDIA Ampere GA100 GPU Based Tesla A100 Specs:

NVIDIA Tesla Graphics CardTesla K40
(PCI-Express)
Tesla M40
(PCI-Express)
Tesla P100
(PCI-Express)
Tesla P100 (SXM2)Tesla V100 (SXM2)Tesla V100S (PCIe)NVIDIA A100 (SXM4)NVIDIA A100 (PCIe4)
GPUGK110 (Kepler)GM200 (Maxwell)GP100 (Pascal)GP100 (Pascal)GV100 (Volta)GV100 (Volta)GA100 (Ampere)GA100 (Ampere)
Process Node28nm28nm16nm16nm12nm12nm7nm7nm
Transistors7.1 Billion8 Billion15.3 Billion15.3 Billion21.1 Billion21.1 Billion54.2 Billion54.2 Billion
GPU Die Size551 mm2601 mm2610 mm2610 mm2815mm2815mm2826mm2826mm2
SMs152456568080108108
TPCs1524282840405454
FP32 CUDA Cores Per SM192128646464646464
FP64 CUDA Cores / SM644323232323232
FP32 CUDA Cores28803072358435845120512069126912
FP64 CUDA Cores96096179217922560256034563456
Tensor CoresN/AN/AN/AN/A640640432432
Texture Units240192224224320320432432
Boost Clock875 MHz1114 MHz1329MHz1480 MHz1530 MHz1601 MHz1410 MHz1410 MHz
TOPs (DNN/AI)N/AN/AN/AN/A125 TOPs130 TOPs1248 TOPs
2496 TOPs with Sparsity
1248 TOPs
2496 TOPs with Sparsity
FP16 ComputeN/AN/A18.7 TFLOPs21.2 TFLOPs30.4 TFLOPs32.8 TFLOPs312 TFLOPs
624 TFLOPs with Sparsity
312 TFLOPs
624 TFLOPs with Sparsity
FP32 Compute5.04 TFLOPs6.8 TFLOPs10.0 TFLOPs10.6 TFLOPs15.7 TFLOPs16.4 TFLOPs156 TFLOPs
(19.5 TFLOPs standard)
156 TFLOPs
(19.5 TFLOPs standard)
FP64 Compute1.68 TFLOPs0.2 TFLOPs4.7 TFLOPs5.30 TFLOPs7.80 TFLOPs8.2 TFLOPs19.5 TFLOPs
(9.7 TFLOPs standard)
19.5 TFLOPs
(9.7 TFLOPs standard)
Memory Interface384-bit GDDR5384-bit GDDR54096-bit HBM24096-bit HBM24096-bit HBM24096-bit HBM26144-bit HBM2e6144-bit HBM2e
Memory Size12 GB GDDR5 @ 288 GB/s24 GB GDDR5 @ 288 GB/s16 GB HBM2 @ 732 GB/s
12 GB HBM2 @ 549 GB/s
16 GB HBM2 @ 732 GB/s16 GB HBM2 @ 900 GB/s16 GB HBM2 @ 1134 GB/s40 GB HBM2 @ 1.6 TB/sUp To 80 GB HBM2 @ 1.6 TB/s
L2 Cache Size1536 KB3072 KB4096 KB4096 KB6144 KB6144 KB40960 KB40960 KB
TDP235W250W250W300W300W250W400W250W

There's a wide scale adoption being made possible already by NVIDIA and its server partners for the said PCIe based GPU accelerator which include:

  • ASUS will offer the ESC4000A-E10, which can be configured with four A100 PCIe GPUs in a single server.
  • Atos is offering its BullSequana X2415 system with four NVIDIA A100 Tensor Core GPUs.
  • Cisco plans to support NVIDIA A100 Tensor Core GPUs in its Cisco Unified Computing System servers and in its hyperconverged infrastructure system, Cisco HyperFlex.
  • Dell Technologies plans to support NVIDIA A100 Tensor Core GPUs across its PowerEdge servers and solutions that accelerate workloads from edge to core to cloud, just as it supports other NVIDIA GPU accelerators, software and technologies in a wide range of offerings.
  • Fujitsu is bringing A100 GPUs to its PRIMERGY line of servers.
  • GIGABYTE will offer G481-HA0, G492-Z50 and G492-Z51 servers that support up to 10 A100 PCIe GPUs, while the G292-Z40 server supports up to eight.
  • HPE will support A100 PCIe GPUs in the HPE ProLiant DL380 Gen10 Server, and for accelerated HPC and AI workloads, in the HPE Apollo 6500 Gen10 System.
  • Inspur is releasing eight NVIDIA A100-powered systems, including the NF5468M5, NF5468M6 and NF5468A5 using A100 PCIe GPUs, the NF5488M5-D, NF5488A5, NF5488M6 and NF5688M6 using eight-way NVLink, and the NF5888M6 with 16-way NVLink.
  • Lenovo will support A100 PCIe GPUs on select systems, including the Lenovo ThinkSystem SR670 AI-ready server. Lenovo will expand availability across its ThinkSystem and ThinkAgile portfolio in the fall.
  • One Stop Systems will offer its OSS 4UV Gen 4 PCIe expansion system with up to eight NVIDIA A100 PCIe GPUs to allow AI and HPC customers to scale out their Gen 4 servers.
  • Quanta/QCT will offer several QuantaGrid server systems, including D52BV-2U, D43KQ-2U and D52G-4U that support up to eight NVIDIA A100 PCIe GPUs.
  • Supermicro will offer its 4U A+ GPU system, supporting up to eight NVIDIA A100 PCIe GPUs and up to two additional high-performance PCI-E 4.0 expansion slots along with other 1U, 2U and 4U GPU servers.

NVIDIA hasn't announced any release date or pricing for the card yet but considering the A100 (400W) Tensor Core GPU is already being shipped since its launch, the A100 (250W) PCIe will be following its footsteps soon.

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