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NVIDIA 900-2G610-0000-000 Tesla P40 24GB GDDR5 PCIE 3.0 X16 Passive Cooling
NVIDIA

NVIDIA 900-2G610-0000-000 Tesla P40 24GB GDDR5 PCIE 3.0 X16 Passive Cooling

Bottom line: The NVIDIA 900-2G610-0000-000 Tesla P40 24GB GDDR5 PCIE 3.0 X16 Passive is a specs-and-price decision rather than a crowd-consensus one in the ai accelerators category. Check the specification table below against one or two close alternatives — on price and spec fit, not on star ratings.

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Mike Perry — Hardware researcher since 2014, focused on GPU performance across gaming, rendering, and local-LLM inference. Synthesises community benchmarks, manufacturer specs, and public forum data into actionable buying guides.

Pros & Cons

Pros

  • ✓ Series Tesla P40, Model 900-2G610-0000-000

Cons

  • ✗ Confirm socket / form-factor / power-rating compatibility against your build before ordering
  • ✗ Used and vintage listings vary by seller and condition — check the listing photos, description and return terms before buying

Manufacturer description

In the new era of AI and intelligent machines, deep learning is shaping our world like no other computing model in history. GPUs powered by the revolutionary NVIDIA Pascal architecture provide the computational engine for the new era of artificial intelligence, enabling amazing user experiences by accelerating deep learning applications at scale. The NVIDIA Tesla P40 is purpose-built to deliver maximum throughput for deep learning deployment. With 47 TOPS (Tera-Operations Per Second) of inference performance and INT8 operations per GPU, a single server with 8 Tesla P40s delivers the…

SpecPicks Verdict

SpecPicks scored NVIDIA 900-2G610-0000-000 Tesla P40 24GB GDDR5 PCIE 3.0 X16 Passive… using a rating × review-volume × price-fit model applied to published specs and reviews across the ai accelerators category. NVIDIA's ai accelerators lineup sits within the broader category mid-tier; price and specs are the deciding factors over brand loyalty here. Judge it on the specification table and the price rather than on sentiment: check the figures that decide your use case, then put it side-by-side with two or three close alternatives in the Compare tool before clicking through.

Common buyer scenarios for ai accelerators of this kind: matching it to an existing build, replacing a failing part, or upgrading from a previous-generation equivalent. Check the spec table below against your current setup — particularly socket / form-factor / power-rating fields — and confirm compatibility on the retailer's listing before purchase. Prices and stock are set by the retailer and may have moved since this page was last updated.

Key Features

  • Series Tesla P40, Model 900-2G610-0000-000
  • GPU Architecture NVIDIA Pascal, Single-Precision Performance12 TeraFLOPS
  • Integer Operations (INT8)47 TOPS (Tera-Operations per Second), GPU Memory24 GB
  • Memorty Bandwidth346 GB/s, System InterfacePCI Express 3.0 x16
  • Max Power250W, Enhanced Programmability with Page Migration EngineYes, ECC ProtectionYes, Server-Optimized for Data Center DeploymentYes, Hardware-Accelerated Video Engine1x Decode Engine, 2x Encode Engine

Full Specifications

UPC073288112536
ASINB073SLRQLN
BrandNVIDIA
Model NameTesla P40
ManufacturerNvidia Tesla
Model NumberTesla P40
Video ProcessorNVIDIA
Antenna LocationProfessional
Graphics Card Ram24 GB
Graphics Ram Size24 GB
Graphics Ram TypeGDDR5
Compatible DevicesDesktop
Memory Clock Speed1244 MHz
Graphics CoprocessorNVIDIA Tesla P40
Graphics DescriptionNVIDIA Tesla P40
Video Output InterfaceDisplayPort or HDMI
Graphics Card InterfacePCI-Express x16
Display Resolution Maximum4K UHD" or "3840x2160
Graphics Processor ManufacturerNVIDIA

Ready to buy?

NVIDIA 900-2G610-0000-000 Tesla P40 24GB GDDR5 PCIE 3.0 X16 Passive Cooling is tracked through eBay listings. Prices and condition vary by seller and move in real time, so we link the live listing rather than quote a cached price. It also has an Amazon listing — check it for current price and availability. SpecPicks earns a small commission on qualifying purchases — thank you for supporting independent review work.

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