Unverified50% confidenceBenchmarkExact time
The inference acceleration achieved by VKORE is 3.8x for a single user and 4.1x in server throughput.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/15/2026
First Seen
Valid until: 1/13/2027
Sources
Related Entities
Related Claims
UnverifiedUnder VKORE acceleration, the single-request response latency of the same NPU is 3.8 times faster than the baseline NPU, and the server-level concurrent throughput is 4.1 times higher.75% similarUnverifiedvLLM通过PagedAttention技术使同等硬件下可并发服务用户数提升2-4倍，吞吐量提升最高24倍68% similarUnverifiedLoading a chunk is 2.8 to 4.3 times faster than recomputing it, and GPU energy consumption is reduced by 8.8 to 12.3 times.67% similarUnverifiedWhen concurrent requests reach 150, the overall system throughput of the new vLLM version can increase to 5.3 times the original.65% similarUnverifiedWhen a large portion of the model is offloaded to the CPU, any quantization bit-width that cannot be divided evenly by 2 incurs a speed penalty, making 3-bit actually slower than 4-bit.63% similar
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