Rival.io Runs DeepSeek V4 Flash on Eight NVIDIA L4 GPUs
Rival.io launched GraphX after running the 284 billion parameter DeepSeek V4 Flash model on eight NVIDIA L4 GPUs. The company says the configuration served 32 concurrent users at about 10 generated tokens per second for each user without additional quantization, according to its technical write-up.
The eight GPUs provided 192 GB of combined memory, with the model occupying about 83% of each card's memory. The deployment also supported the model's context window and KV cache.
GraphX manages model placement, memory and computation across GPUs. Rival.io says it also deployed the DeepSeek model on eight NVIDIA RTX PRO 6000 GPUs, and that GraphX supports compatible hardware from AMD, Intel and NVIDIA. All figures are the company's own. Rival.io claims GraphX can cut open-weight model hosting costs by up to 95% and that its RTX PRO 6000 setup runs at roughly half the cost per output token of an eight-B200 reference.
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