We’re all used to swapping RAM in our desktops and laptops. What about a GPU, though? [dosdude1] teaches us that soldered-on RAM is merely a frontier to be conquered. Of course, there’s gotta ...

Nvidia's packaging for the RTX 5090 has leaked, confirming info that should be revealed at the company's CES keynote event.

text{Total Inference Memory} = \text{Model Size} + \text{KV Cache} + \text{Activations}$ Comparison of approximate GPU RAM needed to load versus load and train a 1-billion-parameter model at 32-bit ...

The GPU shares the memory (DDR) with the rest of the system. OpenGLES and EGL API are used to program the GPU. The QNX GPU driver is provided by QNX and we recommend reaching out to QNX for specifics.

We use QT in our project and find that the GPU is short of video memory. I see that the memory of PVR is about 160MB. How can I improve the memory of PVR? I tried to change the size of CMA, but it ...

Leaked images of the NVIDIA GeForce RTX 5090 PCB reveal a massive GB202 GPU, Samsung GDDR7 memory, and a powerful VRM setup.

Nvidia plans to release a successor to its powerful and popular H100 data center GPU ... sizes are rapidly expanding, demanding increased computational power, as well as faster and stronger memory ...

Leaked NVIDIA GeForce RTX 5090 PCB reveals massive GB202 GPU, GDDR7 memory, PCIe 5.0 support, and potential for a massive ...

The chip designer says the Instinct MI325X data center GPU will best Nvidia’s H200 in memory capacity ... double the size of what’s possible with the H200, according to the company.

Otherwise max_batch_size is set as 0. Reserve a portion of GPU memory for TensorFlow models. Default value 0.0 indicates that TensorFlow should dynamically allocate memory as needed. Value of 1.0 ...