Runpod Weekly: Pods or Serverless? We tested both
Batch Inference is live on Serverless. Plus: vLLM benchmarks and the REST API v1 shutdown on November 15.
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Batch Inference is live on Serverless. Plus: vLLM benchmarks and the REST API v1 shutdown on November 15.͏ ͏ ͏ ͏ Runpod (https://resources.runpod.io/e3t/Ctc/DP+113/d2S9mR04/VWy84M6y0G7bW1_P4tv4R8FKJW7Pgndt5W-jsPN8DGmD43l5QzW6N1vHY6lZ3mBW3zWv-x4zsqGJW5wzK0_3T4sXLV1kKdj5CtsC8W4bjw5x7nSn9VW4dW8z_12Yn0CW5QjbBG4Xlmx3W6Mz_JC2wNsxFW1bRhjy4WhzcbN2pKQp7Gn_nFW3jVCXf9f5nFpW81kz-G5Qp5BnW4nPpL63ckjVvW7YDj5q1LxSNQW8zBj8M3Zh2NrW7nmRzt3PBnGgW6QgS0t69pvYxW2KjxQ44CnWFtW8drk2q3K5KXHW5c6Yhl2S1yk2W51KnjT7rbWr8W7vTZzc6F0n8cV60QK09kftDdf6VhDcY04 ) Log in (https://resources.runpod.io/e3t/Ctc/DP+113/d2S9mR04/VWy84M6y0G7bW1_P4tv4R8FKJW7Pgndt5W-jsPN8DGmD43l5QzW6N1vHY6lZ3kMW7Z_Xs75SxWFNW3RNBV54mkyp4N6N3n2rtwPTVW6pLs-D86jbZmMh-zS2RfnT4W3tBx8W2KYJyYW8YpFXL17VmLhW2dLjV81t5SxyVskZH-3h7h8DW938csj3S5HNXW5wcq4r8JJ4KJW65WhCX4GCMTsVqvtZq7bk8MTW8rcjXP61Rl-RW3_dl0N6cYfQtN4MZgL1hYkPWW8d6wLj57tm2xW1F2bJq5dcQZNW1c61V094yBLFW6-y3H988fX8vW8Cd34j75c9QxN780fPb4w2c5dc2MjC04 ) Pay less for inference that can wait Pay less for inference that can wait (https://resources.runpod.io/e3t/Ctc/DP+113/d2S9mR04/VWy84M6y0G7bW1_P4tv4R8FKJW7Pgndt5W-jsPN8DGmFg3l5QzW95jsWP6lZ3pNW6SM9KM5gqsqYVLrgrG59wb7TW6zbyyD4qsmCVW2fZbsY99dJSkW1xH8gW6l6nc4W2L_X971kW7b5W73xL6r713SsgW10zj744nbzP-W4VgMtw4ZsK8CW36prjN5wJg_wW57hH435DXN1YW9llTDr45hfW6W7vSGRN8XNHsKW34J7wz5Q5vmDN4VSTXdDCPl7N4kdGHphzJM7W6hS2Cm1dNp5DN3Zm7X_CYtF9W3FM2Ng6FlXc-W81kgg38y3KLbW2DbNt748C7DQVLKy8C2XVBMqW8pgPtL5d7hr4W5pJkPP5Qdp6jW10sxw63MtZG5N93P-2lbvc8jW550ffh8b7V9RW4QtSDp4rtSfcW73Gswr4_2vdDW7yP_Pl4ND1fBf54FPhz04 ) Batch Inference is now generally available on Serverless. It’s for jobs where nobody is waiting on each response: backfills, eval runs or embedding a large set of documents. Send the batch to the endpoint you already run, using your existing model and container. Runpod works through it on dedicated workers so your live traffic isn’t affected. Because you’re not paying for speed, a batch costs up to 30% less than on-demand (20% less on H100, H200, B200 and B300). A batch can take hours, and results won’t arrive in order. You’ll get a console Inbox notification or a webhook when it finishes, fails or gets cancelled. Read the blog (https://resources.runpod.io/e3t/Ctc/DP+113/d2S9mR04/VWy84M6y0G7bW1_P4tv4R8FKJW7Pgndt5W-jsPN8DGmFg3l5QzW95jsWP6lZ3pNW6SM9KM5gqsqYVLrgrG59wb7TW6zbyyD4qsmCVW2fZbsY99dJSkW1xH8gW6l6nc4W2L_X971kW7b5W73xL6r713SsgW10zj744nbzP-W4VgMtw4ZsK8CW36prjN5wJg_wW57hH435DXN1YW9llTDr45hfW6W7vSGRN8XNHsKW34J7wz5Q5vmDN4VSTXdDCPl7N4kdGHphzJM7W6hS2Cm1dNp5DN3Zm7X_CYtF9W3FM2Ng6FlXc-W81kgg38y3KLbW2DbNt748C7DQVLKy8C2XVBMqW8pgPtL5d7hr4W5pJkPP5Qdp6jW10sxw63MtZG5N93P-2lbvc8jW550ffh8b7V9RW4QtSDp4rtSfcW73Gswr4_2vdDW7yP_Pl4ND1fBf54FPhz04 ) Put Kimi K3.1 Pro to work on Runpod Put Kimi K3.1 Pro to work on Runpod (https://resources.runpod.io/e3t/Ctc/DP+113/d2S9mR04/VWy84M6y0G7bW1_P4tv4R8FKJW7Pgndt5W-jsPN8DGmDn3l5QzW7lCdLW6lZ3mDW4mny5Y359vB7W3RhJjl7cf5f8W4Vt_4N6fHJNkW3RQDjq8Vg--1W7X5t6l5Cxb2RW33lcJ016chNvW5DS49b4MCllxW7-c67f4MqpLRW4ZvflZ6_PfZ8V6VW1B2k37gFVqpH-t382HbbN6b5XCQhNTlfTX-v978KlC3W4lNJmp6zgg1xW4FPc9j2Mg1sdW47zG_R1P1k-HW4qWGND3j6F9TW7GYkXC2kJwq1W6GK_Pp2nB1QmW4WDbWt2JZynFW5S_DGv7mbJXVW6DMhGn2kQGd1W3q_l4t7SbKXSV5X46h94sRlZf1-ZzJl04 ) Kimi K3.1 Pro from Moonshot AI is live on Runpod Public Endpoints. This is a 3T-class open-weight model with a 1M token context window, at $2 per 1M input and $10 per 1M output tokens. There's also a K3.1 Pro Highspeed variant that runs 2-3X faster for latency-sensitive work, like interactive coding and agent loops. Run it at $4 per 1M input and $20 per 1M output. Both are OpenAI-compatible. If your code already uses the OpenAI SDK, point it at Runpod and change the model name. There’s no GPU to manage. Read guide (https://resources.runpod.io/e3t/Ctc/DP+113/d2S9mR04/VWy84M6y0G7bW1_P4tv4R8FKJW7Pgndt5W-jsPN8DGmDn3l5QzW7lCdLW6lZ3mDW4mny5Y359vB7W3RhJjl7cf5f8W4Vt_4N6fHJNkW3RQDjq8Vg--1W7X5t6l5Cxb2RW33lcJ016chNvW5DS49b4MCllxW7-c67f4MqpLRW4ZvflZ6_PfZ8V6VW1B2k37gFVqpH-t382HbbN6b5XCQhNTlfTX-v978KlC3W4lNJmp6zgg1xW4FPc9j2Mg1sdW47zG_R1P1k-HW4qWGND3j6F9TW7GYkXC2kJwq1W6GK_Pp2nB1QmW4WDbWt2JZynFW5S_DGv7mbJXVW6DMhGn2kQGd1W3q_l4t7SbKXSV5X46h94sRlZf1-ZzJl04 ) Reminder: REST API v1 shutdown on November 15 REST API v1 stops serving traffic on November 15. Calls to it will fail after that date. Existing v1 traffic is already rate limited, and those limits tighten this week. REST API v2 has long-term support, and the migration guide (https://resources.runpod.io/e3t/Ctc/DP+113/d2S9mR04/VWy84M6y0G7bW1_P4tv4R8FKJW7Pgndt5W-jsPN8DGmDH3l5QzW7Y8-PT6lZ3mRW2lw4wf5ZjyRnW4D_gkH8JX4FLW6CyBYn2X6BJfW4Nt3gm1xbW-6W4r-NFC1fGXXkN70gzmwbqXZWW4PnVNJ6JvqLkW7kRQq71DRwDYW9j-vyX82GjctW77kwDr2ySHMMW8gNm416_y4t_W8lZNnQ7Rg7L7VbVkbX3ClrpfW9cd13v54Ht-DW6y7XJ03JQQz0W4KWv2Z1LNzk6W7nsFV12zhlckW7MSnfH83VKCQW38clVT6j7kZxN4QyG2jP9zlhW8n9d9Q4Xmd8cW95zh1Z4gYlJPW3wz8ms1xT1lfW8xW1Bl4ycMqKW5lJKsM16Cl5tW6q9JWG2zHv6Sf3m5GGP04 ) maps each v1 call to its v2 equivalent. Move to REST API v2 (https://resources.runpod.io/e3t/Ctc/DP+113/d2S9mR04/VWy84M6y0G7bW1_P4tv4R8FKJW7Pgndt5W-jsPN8DGmDH3l5QzW7Y8-PT6lZ3mRW2lw4wf5ZjyRnW4D_gkH8JX4FLW6CyBYn2X6BJfW4Nt3gm1xbW-6W4r-NFC1fGXXkN70gzmwbqXZWW4PnVNJ6JvqLkW7kRQq71DRwDYW9j-vyX82GjctW77kwDr2ySHMMW8gNm416_y4t_W8lZNnQ7Rg7L7VbVkbX3ClrpfW9cd13v54Ht-DW6y7XJ03JQQz0W4KWv2Z1LNzk6W7nsFV12zhlckW7MSnfH83VKCQW38clVT6j7kZxN4QyG2jP9zlhW8n9d9Q4Xmd8cW95zh1Z4gYlJPW3wz8ms1xT1lfW8xW1Bl4ycMqKW5lJKsM16Cl5tW6q9JWG2zHv6Sf3m5GGP04 ) Quick hits Pods or Serverless for inference? (https://resources.runpod.io/e3t/Ctc/DP+113/d2S9mR04/VWy84M6y0G7bW1_P4tv4R8FKJW7Pgndt5W-jsPN8DGmDH3l5QzW7Y8-PT6lZ3mmW7jQ1DS8gtt4dW8B_HcR7j-J6CW6cfyJx23wDVYW5Mw1247w09Y1W85RcC91hvGbfW751G4r5bfCKjW47cg2y2WYhmVW2Y1lHF850lGVV4xn2y4lzrbQW4DKPj37_kn9JN5Zx65XFf7W1W3x-MfJ8VKsqsW3DhCjQ5DFW2GW6Wn0Dm3rKBdwW4tKGmd2X9qyDW3q2zDC4k8txPW4bvsyp6dkZKDW34yVWn9kXyB6W6h6_lx79vS77W1Y9TWF5TGbfnW3Kylpy3_C3LpW5L5dvW6lZWnJW8Jf5yt1m13PbN3bYvJXtqbchVMF7vq73fbQvW4Wz1rG3d4M2zf3Kbdr604 ) Pods or Serverless for inference? We tested both on an A40 to see when each costs less. Read the blog (https://resources.runpod.io/e3t/Ctc/DP+113/d2S9mR04/VWy84M6y0G7bW1_P4tv4R8FKJW7Pgndt5W-jsPN8DGmDH3l5QzW7Y8-PT6lZ3mmW7jQ1DS8gtt4dW8B_HcR7j-J6CW6cfyJx23wDVYW5Mw1247w09Y1W85RcC91hvGbfW751G4r5bfCKjW47cg2y2WYhmVW2Y1lHF850lGVV4xn2y4lzrbQW4DKPj37_kn9JN5Zx65XFf7W1W3x-MfJ8VKsqsW3DhCjQ5DFW2GW6Wn0Dm3rKBdwW4tKGmd2X9qyDW3q2zDC4k8txPW4bvsyp6dkZKDW34yVWn9kXyB6W6h6_lx79vS77W1Y9TWF5TGbfnW3Kylpy3_C3LpW5L5dvW6lZWnJW8Jf5yt1m13PbN3bYvJXtqbchVMF7vq73fbQvW4Wz1rG3d4M2zf3Kbdr604 ) How to choose a VLLM configuration (https://resources.runpod.io/e3t/Ctc/DP+113/d2S9mR04/VWy84M6y0G7bW1_P4tv4R8FKJW7Pgndt5W-jsPN8DGmDH3l5QzW7Y8-PT6lZ3lRW3Tm3Dm5llfdbV9Fk1s7MNsycN85W-3Fs2y9NW98cQjZ5VmSvRW5n-ycp67plNjVTbK3l2KrJyHW7nP83t95sXqFW7lXQ461f-ClCW27771S8G_TLvV79SR92m1RXsW6vY2Px8WcxblN7V3XTBdTcfqW8TpB9t3N0R8MW2rVtRD2_r6MkW5P4mHn1HCTRmW95f78t18mhtgW5Jz3XM6LFdJMW1vwhbP3txl-2W3mh8T33WFsv5VHn5rf1Sr82LW7GxpYF1W0bk6W3kQBSg1x6vNQW3qtbhy6XlCZxW3khckm1NSGnnN36_Rq-_8x-GW3lvL7T27hQC3f7rKdqd04 ) How to choose a VLLM configuration We tested vLLM settings to see how latency changes as more users send requests. Watch the video (https://resources.runpod.io/e3t/Ctc/DP+113/d2S9mR04/VWy84M6y0G7bW1_P4tv4R8FKJW7Pgndt5W-jsPN8DGmDH3l5QzW7Y8-PT6lZ3lRW3Tm3Dm5llfdbV9Fk1s7MNsycN85W-3Fs2y9NW98cQjZ5VmSvRW5n-ycp67plNjVTbK3l2KrJyHW7nP83t95sXqFW7lXQ461f-ClCW27771S8G_TLvV79SR92m1RXsW6vY2Px8WcxblN7V3XTBdTcfqW8TpB9t3N0R8MW2rVtRD2_r6MkW5P4mHn1HCTRmW95f78t18mhtgW5Jz3XM6LFdJMW1vwhbP3txl-2W3mh8T33WFsv5VHn5rf1Sr82LW7GxpYF1W0bk6W3kQBSg1x6vNQW3qtbhy6XlCZxW3khckm1NSGnnN36_Rq-_8x-GW3lvL7T27hQC3f7rKdqd04 ) Try Nemotron 3.5 Bolt on Runpod A preview template for NVIDIA’s 74B model, with model weights included and an OpenAI-compatible API. For experimentation; live GPU testing is still pending. Try the template (https://resources.runpod.io/e3t/Ctc/DP+113/d2S9mR04/VWy84M6y0G7bW1_P4tv4R8FKJW7Pgndt5W-jsPN8DGmD-3l5QzW8wLKSR6lZ3mqW1k-tyY88YvV6W2tDDsF6YHl1BW98MYGj1vVjCmW1-hkJP92xzHhW33f1Vh1cF7HnW5PFSM396HgmsW6tKWV18L7mVCW8mKCm-3K7_7QW4vvf5p7xbrBPW5S3K9v2k6kV7W3JWj4590r8tGN6y-nYVF9yFkW6YbwyB8SXPHnW1m5sSS2h9V3kW6fYpQX7q8SpBW2yjTx11D9YqbW13TxHk70JqMDW5HK_Ry2Yn_QkW3RwqCy8RqzbjW7szCtv4y0SMXW5M7KD91LcCJFW6H52fy5jrLp2W3LQ91D6YWFfhVVn6Xv2_GgnMN2jR7PkzRjJSW4pknYX6hjnJyW32-3Yk5PZ4pfW8FFGzn3RPhYMdDLP4804 ) Build a mystery game Let’s keep Halloween going! Learn how to build your own murder mystery game on Runpod. Read the blog (https://resources.runpod.io/e3t/Ctc/DP+113/d2S9mR04/VWy84M6y0G7bW1_P4tv4R8FKJW7Pgndt5W-jsPN8DGmDH3l5QzW7Y8-PT6lZ3l4VF_WpL8cBYS_W2F37kV8VG4BpW5_Kz6s6lL8qYW6FSjRR2hJ1_-N45_wv0Bc4pBVZGBs34Z1tfrW8sc4YH2mqpGWW6RmcNJ6tkhKHW89d7Y981k_LqN7vLfQjhJdC0N34HTbcYnfbNW5FXBhz2k_1cHW6RKTfM1q7CSwW5xLtzl24gBKrW6HQY_X7qtTTQW6zM_4d95bhhSW5ZC-tL5bkpJyW1q7WG52c4ZjvW1jfm_s59LJ29W70kq6b11dLzMW5B2vdV5Z5y3RW4rpk9Q7S0yMZW53sQgS1dz5VnW2PYSn87QrmqyN60-lJPDQWLVVGsqVt3FVcVLf89XstY04 ) Where you’ll find us [Webinar] Build long-running agents with Kimi, Nov 12 Join us for a conversation with Moonshot AI's Feihu Tang, DevRel Lead, for tips on using different Kimi models, cutting token usage, and more. Reigster now → (https://resources.runpod.io/e3t/Ctc/DP+113/d2S9mR04/VWy84M6y0G7bW1_P4tv4R8FKJW7Pgndt5W-jsPN8DGmFg3l5QzW95jsWP6lZ3pBW6DzVzC61TkphW3wS5hL6-SMt8W4yVm_K8Z9BqhW47hMfM4HxyJcW7fgrVh2KbxlSW28DzNn3JhrPnMNGl-Fdx563N5cQrnBXk8M-W1lYCS-6jK1knW3vvL491qJH14W612WWh9ffwrQW10DhpY6lGkRgW6rdGXD6zJkcmW7WfC3098y5ygW6BgvdX4fWR9FN74PLb2zPzwxW8M-g6q7n2yV1N2xC9s4ZSvhPW4xJSZ662pRHtW7NjNZw7jmNd-N3pVXhHT2T4HW4V5-KS6bkPMDW3cKJD72BDn9RW7yBpg11rlMNqW2cJ3-88GJ7ZSW8WSv3z2SX3LKN2dXrP8gQF2-N1_B6lmjfWxYW4MBCdP2300XhW3S3H_06MTZL3f5XDNPs04 ) Web Summit · Lisbon, Nov 9–12 We’ll be there with the Runpod team. Come say hello and tell us what you’re building. Learn more → (https://resources.runpod.io/e3t/Ctc/DP+113/d2S9mR04/VWy84M6y0G7bW1_P4tv4R8FKJW7Pgndt5W-jsPN8DGmDn3l5QzW7lCdLW6lZ3mZW5v-Yph6kPm7dW2dBJyX8qcjLCW89M4md21RqLZW9bzBVw2GPDrDVl1Vgj6C5_4XW7spdtw3hZT2rW1JLKcl3TWlCmW5jhDSF567mlqW7nFq8w3871nxVz4tVB4jW-r_W9bbHdl48gJdjW2rCV3n5k2zlvW5F-Bcl5mPRPBW37Rkd573Vrm0W75qT702HHszDW2xW6pl6qlRk3N8nvsKmSBnMTW3QFxvX1L53JpW2pYkvd7y5JvZW18Bg3n3s7xl8W81hj6W7ZMcPfW9cqcwk3FD7__W39K2l-2CgM2bW8vGPgH6r1dhSdJnGKC04 ) KubeCon + CloudNativeCon · Salt Lake City, Nov 9–12 Meet us at the Salt Palace Convention Center. Bring your compute questions. Learn more → (https://resources.runpod.io/e3t/Ctc/DP+113/d2S9mR04/VWy84M6y0G7bW1_P4tv4R8FKJW7Pgndt5W-jsPN8DGmD-3l5QzW8wLKSR6lZ3q0W8F-61w72l5B9W3jlK2c6K5rDhW32BY-M6mbxl4W5J47p17T6BwNW7D2yg01T01TSW7NRVJq8KRdgNW3y34Q733XXRrW1w6NfZ6-v_r5W2J5rgf4SHr1MVCzzYy3mLhX3W6ZHrCH7JyY95W768kpz5Q8hv4W4mBmSr1z6W5hW6wXDgr7PmNLVW1JYf9D43XW64W6-JZRy3vQF1RMcWvd31skMQW4W5gB64LWKRVSbk_8YL2cQW5rt90t7sL7W4W2bWXnc8HpW4cW6BzM-s8jzv-hVhkS1n6zgmzdW5LvV8S6QGqgbW35hqXH8344t8W6FWK3j2k1-XLW6kNqX53hkc86W3B6W7v86-Lfcf84jSkq04 ) bem + Runpod happy hour · Austin, Nov 16, 6–8 PM CT Join us for drinks, snacks, lightning talks and a raffle. Learn more → (https://resources.runpod.io/e3t/Ctc/DP+113/d2S9mR04/VWy84M6y0G7bW1_P4tv4R8FKJW7Pgndt5W-jsPN8DGmDn3l5QzW7lCdLW6lZ3p2N7vLbk2gSccbW6qC9X43CjYqkW8BlN_32j4RJKW62RlrL3gVDvxN4Y7WyWXDS4YN2rzRkfVLy3SW1VZcn78p51cbW5x3x297MtJW-W7XJNfV2T75mNW8phL471Nd4bdW2w_Ydl3_8VHYW6qC3R742RpNPW152PRS7R-XMWVlz66-3k-fkRW6mt2mc5jQ-j2N8Dn99rb_1ssW2xv8bm21KX6BW7LB58S1lf1DxW1D2SvX8jcTy9W451xNC3hlkCZW5rW1nc2PnHLdW4BNy798qhZGzVt22gC3ZjM50W93HDgH8TT-_md6BCbx04 ) MLOps World · Austin, Nov 17–18 Find us at the Etter-Harbin Alumni Center. We’re also demo-ing Runpod Flash during the free virtual day on Nov 16 (https://resources.runpod.io/e3t/Ctc/DP+113/d2S9mR04/VWy84M6y0G7bW1_P4tv4R8FKJW7Pgndt5W-jsPN8DGmDn3l5QzW7lCdLW6lZ3mmN4jznJK6tDkMW1rsmVQ8dLrqSW5Y087d3TXYHkW74--3l87Bw2SN92Cw7Dy_2jsW7XgXf17MSZdyW2BvF3G6ngcNhW6JyLcX5cm3nHW44d8Ld4FlX7LW7DzW534WC7jLW2NpbTJ1FJ9YpW5LV-1X3cdgrVW7lVTHb7-WcH2VD47h91RC35WW4YkXBq2_ppdNW6ccPZx4PgXG3W76Z9sy5gG2GZW895nqP9542DWVlcz1373xwhLW5mWy2c8HKx91W8bLmn05zC02fW2dRmY14zR5C3VwfhsS8H3dsgW5S-yMn3m88zbd5R_4404 ) . Learn more → (https://resources.runpod.io/e3t/Ctc/DP+113/d2S9mR04/VWy84M6y0G7bW1_P4tv4R8FKJW7Pgndt5W-jsPN8DGmD43l5QzW6N1vHY6lZ3nJW32bZgP2gD-dvW6Rg3p18yhYDQW8NL4c61qsxq3W57SPz1281Pl8W8kVW5850hcZQW3FWkkH6cMKzrW61tf5z9bZRgSN6TpR0mHv73hW3CNZB63DSKCrW7kVxbW6sVTlLW16vhcw30tcC_VM33sn6bsSzKW4F9H1f6wpHgyW4kwsXd14MfdTW93_07W6TNTb1W903l8t6FP3k-W6rTxD89kQZbDN8dl2cM8DWSqW3GrCVj1FtfNTW1T2XF_2m8bvMVQsfhd2lFNVgVPhcmC7gmwf6f2qzCB604 ) GitHub (https://resources.runpod.io/e3t/Ctc/DP+113/d2S9mR04/VWy84M6y0G7bW1_P4tv4R8FKJW7Pgndt5W-jsPN8DGmD43l5QzW6N1vHY6lZ3kJW33DsfX2qvrHRW4VMPR17RFKmWN20w3sdBnsytW94r3J28kvDKyW3xFl1J1z-RCXW8vK3D713-YFWW4YHxcD7Tpq7QN43PQF_fBLwgW2WjqXc394vHFW7zYN4z7kqQVGVVnXZx4s-z4VW1YfBXg2g9T-rW8JGf-Z7-MPVPW89Jfbk8jKpRSW1SxkF78WYRbxW4BlgSg744nZtW83htYB80x9tnW2C7PRK2396h8N55m-ScCN6K7W5mx7Tr1_HKHCW6Srrhf5z1CbvN2vn4L75Vw8LdRsSn-04 ) Hugging Face 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- Sent
- 5 November 2026 · 00:00 UTC
