NVIDIA Tesla P40 24GB Specs, Benchmarks & Pricing

The NVIDIA Tesla P40 is a passively cooled, dual-slot PCIe inference accelerator announced in September 2016. It is built on the Pascal GP102 GPU with 3,840 CUDA cores and 24 GB of GDDR5 on a 384-bit bus. It has no Tensor Cores, and its FP16 runs at 1/64 the FP32 rate, so it suits FP32 and INT8 (DP4A) work. Used cards are a common low-cost way to get 24 GB of VRAM for running LLMs at home.

  • Release Date: September 13, 2016
  • MSRP: $7,358 USD†
  • GPU Architecture: pascal
  • Hardware-Accelerated GEMM Operations:
    FP64 FP32 TF32 BF16 FP16 FP8 FP4 INT8 INT4
  • CUDA Compute Capability : 6.1

† Estimated MSRP of $7,358 USD. This is an OEM configurator price, not an NVIDIA MSRP, and it dates from about 9 months after the 2016-09-13 launch. The Next Platform ("Tesla GPU Accelerator Bang For The Buck, Kepler To Volta", 2018-03-05) says NVIDIA published no list or suggested street prices for Tesla cards, and that Dell's PowerEdge R730 configurator in June 2017 priced the Tesla P40 at $7,358 (P4 $2,402, P100 PCIe 16 GB $7,278, 12 GB $5,780). An earlier figure of $5,699 from aggregators had no traceable source and was dropped.

Considerations

  • Lower FP32 compute performance compared to other GPUs
  • Lower FP16 compute performance compared to other GPUs

Specifications for NVIDIA Tesla P40

SpecificationPerformance Ranking
FP32 TFLOPs
12th @ 12 TFLOPs
FP16 TFLOPs
1st @ 0.183 TFLOPs
Tensor Core CountData not available
Memory Capacity (GB)
72nd @ 24 GB (Mid Tier)(Mid)
Memory Bandwidth (GB/s)
24th @ 346 GB/s
Int8 TOPs
5th @ 47 TOPs
FP8 TFLOPsData not available
FP4 TFLOPsData not available

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Price History

NVIDIA Tesla P40 Price History

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Product Identifiers

Manufacturer Part Numbers (1)
GPU CHIP
GP102-895
Available from 1 Partners (1 products)
HP
HP NVIDIA Tesla P40 24GB GDDR5 Graphics Card
Q0V80A(part number)

References

Notes

  1. fp32TFLOPS of 12 is the single-precision figure in the NVIDIA Tesla P40 datasheet (CUDA cores, no TF32 path on Pascal). memoryCapacityGB 24, memoryBandwidthGBs 346, maxTDPWatts 250 and the 2016 date are from the same datasheet.
  2. fp16TFLOPS of 0.183 is FP16 vector throughput at 1/64 of FP32 (about 11.76 TFLOPS at boost clock / 64, as third-party databases give it). The datasheet does not list FP16; the 1/64 rate is a GP102 property and is not in the NVIDIA documents cited here, so treat it as unverified against NVIDIA. Unlike the P100, the P40 has no 2x FP16 path, so validate-specs.ts has a GP102-specific ratio range.
  3. int8TOPS of 47 is the datasheet INT8 figure. It is the DP4A ALU instruction (a CUDA-core path), the same convention as the V100, so INT8 stays out of supportedHardwareOperations. fp8TFLOPS and fp4TFLOPS are null because Pascal predates both.
  4. supportedHardwareOperations is an empty array: Pascal has no matrix or tensor-core path. DP4A is an ALU instruction, not a tensor path (see gpu-researcher.md).
  5. Estimated MSRP of $7,358 USD. This is an OEM configurator price, not an NVIDIA MSRP, and it dates from about 9 months after the 2016-09-13 launch. The Next Platform ("Tesla GPU Accelerator Bang For The Buck, Kepler To Volta", 2018-03-05) says NVIDIA published no list or suggested street prices for Tesla cards, and that Dell's PowerEdge R730 configurator in June 2017 priced the Tesla P40 at $7,358 (P4 $2,402, P100 PCIe 16 GB $7,278, 12 GB $5,780). An earlier figure of $5,699 from aggregators had no traceable source and was dropped.
  6. supportedCUDAComputeCapability 6.1 is the GP102 compute capability (the P100's GP100 is 6.0).
  7. Third-party part number Q0V80A is from the eBay product page (the listing names HP as the maker). It is the only source for that part number.
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