Poulpy CKKS Bootstrapping board on FHERMA, with benchmark results for the full bootstrapping kernel and for each stage separately: SlotsToCoeffs, ModUp, CoeffsToSlots, and EvalMod.
All runs use the same keys and inputs, making it easy to inspect the full bootstrap and each kernel under the same setup.
Based on Poulpy 0.8.3, CPU only.
FHERMA Boards are probably one of the most interesting features on the platform. Anyone can combine results from different kernels into a board like this and share it as a single view.
https://t.co/xIeQG9jK44
SP1 is integrating the NVIDIA cuPQC cryptography library.
cuPQC powers core operations in SP1's GPU prover, making proving performant across @NVIDIA accelerated computing and expanding the range of GPUs that can prove efficiently on the Succinct Prover Network.
Current fastest submission in one of the NVIDIA × FHERMA challenges:
Negacyclic polynomial multiplication, degree 32,768, with 868-bit coefficients is under 0.5 ms on GPU.
https://t.co/4ZHmmIxntC
Join us next week for the OpenFHE webinar on Efficient Large-Integer Arithmetic for FHE.
We’ll present recent results from the collaboration between NVIDIA, Fair Math and Duality Technologies, including cuPQC, FHERMA, and our recent joint work on large-integer arithmetic.
Register here: https://t.co/Iw4G3rmGiw
Happy to partner with Fair Math on accelerating FHE. cuPQC now powers two new challenges on FHERMA: polynomial multiplication and CKKS key switching.
Start building. 👇
NVIDIA × Fair Math Challenges are LIVE on FHERMA!
We're excited to collaborate with @NVIDIAHPCDev to bring GPU acceleration layer support to the FHE ecosystem using NVIDIA's cuPQC.
To kickstart this initiative, we're launching two new developer challenges with GPU compute:
- Polynomial Multiplication: Build high-performance polynomial multiplication on cuPQC's bigint backend. (Great entry point for GPU/CUDA devs!)
- Key Switching in CKKS: Optimize one of FHE's biggest bottlenecks using GPU-native arithmetic.
Whether you're an FHE researcher or a CUDA/GPU dev, you can help build open-source infrastructure that projects worldwide will use.
Join the challenges: https://t.co/9KeQ9qBkeN
#FHE #Cryptography #CUDA #GPU #cuPQC #NVIDIA #OpenSource
NVIDIA × Fair Math Challenges are LIVE on FHERMA!
We're excited to collaborate with @NVIDIAHPCDev to bring GPU acceleration layer support to the FHE ecosystem using NVIDIA's cuPQC.
To kickstart this initiative, we're launching two new developer challenges with GPU compute:
- Polynomial Multiplication: Build high-performance polynomial multiplication on cuPQC's bigint backend. (Great entry point for GPU/CUDA devs!)
- Key Switching in CKKS: Optimize one of FHE's biggest bottlenecks using GPU-native arithmetic.
Whether you're an FHE researcher or a CUDA/GPU dev, you can help build open-source infrastructure that projects worldwide will use.
Join the challenges: https://t.co/9KeQ9qBkeN
#FHE #Cryptography #CUDA #GPU #cuPQC #NVIDIA #OpenSource
NVIDIA cuPQC v0.6 is here! Introducing cuPQC-BigInt and cuPQC-NTT, GPU-accelerated math libraries for building cryptographic systems.
Dive into big integer arithmetic (modular multiplication, inversion, exponentiation, and reduction) and number theoretic transforms for zero-knowledge proofs, fully homomorphic encryption, RSA, elliptic curve, and isogeny-based cryptography.
Read the blog: https://t.co/ZwDRxKLo75
Get started: https://t.co/uoELWqxdpN
⚛️💻 Quantum computing and AI are colliding at #CES2026.
Join leaders from NVIDIA, @Qualcomm, @Synopsys and @emdelectronics to see how GPUs are accelerating #quantumcomputing.
📅 January 5 at 4 PM PST
📍 LVCC, West W219
🔗 Learn more: https://t.co/6ASmFobZp7
📣 NVIDIA cuPQC v0.4 is here. Dive into accelerated hash functions (SHA2, SHA3, SHAKE, Poseidon2-Babybear) and Merkle Trees for efficient data integrity, membership proofs, zero-knowledge proofs, and digital signatures.
Get started now and future-proof your cryptographic workflows. 🛠️🔒 https://t.co/joSX2eVIF5
🔥 New in #CUDA-QX 0.4: Enhanced QEC features, including a detector error model generator, an exact tensor network decoder, and the AI-driven Generative #Quantum Eigensolver (GQE).
Read the latest blog to learn more. ✨ https://t.co/CHI928K2bB
Reminder to join us this week on Apr 17th at 3PM CEST for an @fhe_org meetup with Mohammed Lemou, Senior Researcher (Directeur de Recherche) at the French National Center for Scientific Research (CNRS), presenting "Exploring General Cyclotomic Rings in Torus-Based Fully Homomorphic Encryption: Part I - Prime Power Instances".
RSVP below 👇
#fhe #homomorphicencryption
Happy 1st Anniversary to the Post-Quantum Cryptography Alliance.🎉
This year, we have been a key player in the alliance, contributing the cuPQC #CUDA library for GPU-accelerated #quantum-safe #cryptography, paving the way for a secure post-quantum future.
🛡️https://t.co/vnikrqWSEM
Just released, NVIDIA cuPQC v0.3 🔒
Now with our first set of primitives, cuHash, supporting SHA2, SHA3, and SHAKE. Transition to secure PQC protocols and protect against future #quantum threats. Download now. https://t.co/QNymZ3fmee #cryptography#PostQuantumCryptography
NVIDIA is using #supercomputing to advance #quantum technology.
Watch the full Bloomberg @technology interview with NVIDIA’s Tim Costa from Quantum Day at #GTC25 to learn more. https://t.co/6HU7mzl90q