P40
The NVIDIA Tesla P40 is a Pascal-architecture datacenter GPU released in September 2016, featuring 24 GB of GDDR5 memory and passive cooling. Originally launched at $5,699, it has become widely available on the used market and is commonly deployed for local inference tasks on quantized machine learning models.
Overview and Use Cases
The Tesla P40 is a datacenter-class graphics processing unit based on NVIDIA's Pascal architecture. Released in September 2016, it was designed for data center and professional computing applications. The GPU has gained secondary popularity in the used market for inference workloads, particularly for running quantized large language models on local hardware.
Key Capabilities
- Passive cooling design with no active fans
- Supports inference on quantized models up to approximately 13 billion parameters, achieving approximately 15 tokens per second
- Capable of running mixture-of-experts and quantized models up to approximately 8 billion parameters
- Limited performance on dense models with 70 billion or more parameters
- No Tensor Cores for accelerated matrix operations
Specifications
- Architecture: Pascal (GP102)
- Manufacturing Process: 16 nm
- Memory: 24 GB GDDR5
- GPU Clock Speeds:
- Base: 1303 MHz
- Boost: 1531 MHz
- Thermal Design Power: 250W
- Cooling Method: Passive (no forced cooling)
Market Availability
The Tesla P40 launched at $5,699 in September 2016. As of the present period, used units are widely available in the secondary market, typically ranging from $150 to $345 depending on condition and vendor. This price reduction from original list price has made the GPU accessible for hobbyist and small-scale inference deployment.
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