Tesla T4
An NVIDIA data-center GPU inference card based on the Turing architecture. It features 16 GB of GDDR6 memory, a 70 W low-power passive cooling design, and supports INT8/INT4 inference acceleration. It is widely used for cloud-based and on-premises AI inference deployment.
Timeline (last 90 days)
Early versions of OjasX could already fit a 534M parameter model into the 9.5GB VRAM of a Tesla T4 for training, whereas standard PyTorch would crash at 16.4GB at that time.
A Reddit user built a local AI inference platform with a total of 64GB of VRAM using 4 Tesla T4 GPUs
The Tesla T4 is an NVIDIA data center inference card based on the Turing architecture, with a single-card TDP of 70W and a passive cooling design
The Tesla T4's memory bandwidth is only 300GB/s, compared to 1008GB/s for the RTX 4090
Tesla T4 cards typically sell for $200–$400 per card on the second-hand market
The Tesla T4's passive cooling relies on an external blower fan, with noise levels that can exceed 55dB, requiring soundproofing treatment in home environments
All Facts (4)
Early versions of OjasX could already fit a 534M parameter model into the 9.5GB VRAM of a Tesla T4 for training, whereas standard PyTorch would crash at 16.4GB at that time.
50%UnverifiedThe Tesla T4 is an NVIDIA data center inference card based on the Turing architecture, with a single-card TDP of 70W and a passive cooling design
50%UnverifiedThe Tesla T4's memory bandwidth is only 300GB/s, compared to 1008GB/s for the RTX 4090
50%UnverifiedThe Tesla T4's passive cooling relies on an external blower fan, with noise levels that can exceed 55dB, requiring soundproofing treatment in home environments
50%