Similar to This
Previous
How flash storage can cut GPU waste from KV-cache recomputation: LLM inference can waste up to 60% of GPU compute recomputing context. WEKA explains how KV-cache ...
venturebeat.com/ai/up-to-60-of-gpu-compute-goes-to-recomputing-context-flash-storage-can-put-that-capacity-back-to-work

NVIDIA’s 9-Year-Old Tesla V100 Still Packs Some Inference Muscle; 4 GPUs On An NVLink Board Can Outperform M5 Ultra, DGX Spark In Various AI Benchmarks By Up ...
wccftech.com/nvidia-tesla-v100-inference-m5-ultra-dgx-spark-ai-benchmarks/

Intel is revealing specs for its new GPU D-series AI inference chip at industry summit
qz.com/intel-gpu-d-series-ai-inference-chip-ocp-summit-101326

C2C replaces text handoffs between AI models | VentureBeat: C2C lets AI models communicate through KV caches instead of text, improving benchmark accuracy and ...
venturebeat.com/orchestration/text-handoffs-slow-ai-models-down-c2c-lets-them-communicate-through-kv-caches-instead

NVIDIA Rubin GPUs Bring 10x Increase in Agentic AI Performance Versus Blackwell as Its Architecture Gets Fully Unpacked, Featuring 336 billion Transistors
wccftech.com/nvidia-rubin-gpu-architecture/

Etched Pulls 400+ Engineers From NVIDIA, TSMC & More to Build a New Frontier Inference Cluster For AI Which Is Already Worth $1B in Demand
wccftech.com/etched-pulls-400-engineers-nvidia-tsmc-build-new-frontier-inference-cluster-for-ai/

Upstart chipmakers keep challenging Nvidia. This time it's Microsoft-backed D-Matrix
cnbc.com/2026/06/09/nvidia-d-matrix-chip-production-microsoft.html

Intel: Our upcoming AI chip will be cheaper, run cooler than Nvidia, AMD options: Crescent Island is an air-cooled chip that uses LPDDR5 memory.
ft.com/content/3ca15070-c1c7-4ec2-9598-e36b7de47bc0

Google's new chips are a shot at Nvidia in AI inference: Google is for the first time splitting its AI chips into two lines, a sign that a new AI battleground is ...
businessinsider.com/google-new-ai-chips-tpu-inference-training-nvidia-2026-4
GitHub - jungledesh/profile: A physics-grounded, cost-aware optimizer for vLLM.: A physics-grounded, cost-aware optimizer for vLLM. - jungledesh/profile
github.com/jungledesh/profile

GitHub - Memoriant/dgx-spark-kv-cache-benchmark: KV cache quantization benchmarks on NVIDIA DGX Spark GB10 — three novel findings including the dequantization ...
github.com/Memoriant/dgx-spark-kv-cache-benchmark

Google's TurboQuant reduces AI LLM cache memory capacity requirements by at least six times — up to 8x performance boost on Nvidia H100 GPUs ...
tomshardware.com/tech-industry/artificial-intelligence/googles-turboquant-compresses-llm-kv-caches-to-3-bits-with-no-accuracy-loss

GitHub - cenconq25/delta-compress-llm: Exploiting temporal coherence in LLM inference-- delta encoding for KV cache compression and weight-skip prediction ...
github.com/cenconq25/delta-compress-llm
GitHub - samfurr/foveated_kv: Importance-adaptive mixed-precision KV cache compression for LLM inference on Apple Silicon.
github.com/samfurr/foveated_kv

Inside the AI accelerator arms race: AMD, Nvidia, and hyperscalers commit to annual releases through the decade
tomshardware.com/tech-industry/artificial-intelligence/inside-the-ai-accelerator-arms-race-amd-nvidia-and-hyperscalers-commit-to-annual-releases-through-the-decade

Paid articlePaywallNvidia's new CPX GPU aims to change the game in AI inference — how the debut of cheaper and cooler GDDR7 memory could redefine AI inference infrastructure
tomshardware.com/pc-components/gpus/nvidias-new-cpx-gpu-aims-to-change-the-game-in-ai-inference-how-the-debut-of-cheaper-and-cooler-gddr7-memory-could-redefine-ai-inference-infrastructure

NVIDIA Unveils Rubin CPX: A New Class of GPU Designed for Massive-Context Inference
nvidianews.nvidia.com/news/nvidia-unveils-rubin-cpx-a-new-class-of-gpu-designed-for-massive-context-inference

Next
