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NVIDIA TESLA A2 Tensor Core GPU 16GB Deep Learning AI Professional Computing Card
Product image of the identified NVIDIA offer. Product illustration; not a photograph of the individual stock unit. Image source ↗

NVIDIA · Desktop / server GPU card

NVIDIA A2 16GB

₹2,06,500 Per unit, incl. 18% GST Ready stock

Up to 10 units per item online.

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Priced item: NVIDIA TESLA A2 Tensor Core GPU 16GB Deep Learning AI Professional Computing Card

Seller SKU GW-NVIDIA-A2

Supplied unit: One graphics card in the exact advertised priced variant.

Free India shipping. Dispatch: Within 14 calendar days after cleared bank-transfer payment. This is a dispatch timeframe; delivery transit time and the estimated delivery date will be stated with your invoice before payment.

Delivery, warranty & returns
Payment
Bank transfer against invoice
Estimated transit
14 working days after dispatch within India
Warranty
New items. Manufacturer warranty as stated on the invoice. Review the manufacturer warranty details supplied with your invoice before payment.
Returns & exchanges
Returns or exchanges of unused and unopened items may be requested within 30 days of delivery. The customer pays return shipping. Contact sales@gpuworld.ai with your order reference for return or exchange instructions. Approved refunds are issued within 30 working days after receiving and approving the returned item.

Review the return and refund conditions above and the full order terms before ordering. Your invoice will show the estimated delivery date before payment.

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Product overview

NVIDIA TESLA A2 Tensor Core GPU 16GB Deep Learning AI Professional Computing Card. Graphics or compute card in the Ampere data center family. Supplied unit: One graphics card in the exact advertised priced variant. Model reference: NVIDIA A2. NVIDIA model-level reference specifications — reference memory / capacity: 16GB GDDR6; interface: PCIeGen4 x8; form factor: Low-profile half-length single-slot, passive. Confirm the exact OEM configuration and its host, power, cooling and interconnect requirements before ordering.

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Configuration overview

Review the GPU for a supported server deployment, matching the board edition, slot dimensions, auxiliary power and cooling design. Confirm operating-system, driver and application support for the exact GPU before ordering.

Specifications & compatibility

NVIDIA REFERENCE SPECIFICATIONS

Technical specifications

Specifications describe the identified NVIDIA model or reference configuration. Board-partner designs, OEM firmware, laptop power limits and complete-system configurations can differ.

GPU architecture
Ampere
GPU memory
16 GB GDDR6
Memory bandwidth
200 GB/s
FP32 peak
4.5 TFLOPS
TF32 Tensor peak
9 TFLOPS dense / 18 TFLOPS sparse
FP16 / BF16 Tensor peak
18 TFLOPS dense / 36 TFLOPS sparse
INT8 Tensor peak
36 TOPS dense / 72 TOPS sparse
INT4 Tensor peak
72 TOPS dense / 144 TOPS sparse
RT cores
10
Video engines
1 encoder, 2 decoders; includes AV1 decode
System interface
PCIe Gen4 x8
Form factor
Single-slot, low-profile PCIe
TDP configuration
40-60 W
Capacity / memory
16GB GDDR6
Interface
PCIeGen4 x8
Form factor
Low-profile half-length single-slot, passive

Confirm exact OEM board/part, host, power, cooling, condition and software support. No universal board MPN is inferred.

Legacy/reference model; supply condition and software support by quote

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NVIDIA model names identify GPUs and product editions; they do not establish one universal board-vendor part number. Laptop GPUs are supplied within complete laptops. SXM modules, HGX/DGX systems and integrated CPU–GPU platforms require their supported host and interconnect.

Memory type, rank, transfer rate and population rules must match the server and CPU. A storage capacity does not establish NVMe, SATA or SAS compatibility. SSD and mechanical HDD media, firmware, sector format, carriers and security variants need separate checks.

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  1. Complete manufacturer/OEM part number and label, including suffix.
  2. Quantity, acceptable condition and delivery city/country.
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  4. Application, required configuration and compatibility requirements.

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